Job description 🚀 Job Title: Lead AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the Lead AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – Lead AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

Head of AI & ML Platforms Focus : Voice AI, NLP, Conversation Intelligence for Omnichannel Enterprise Sales Location : Sector 63, Gurugram, Haryana — Full-time, 100% In-Office Work Hours : 10:30 AM – 8:00 PM, Monday to Friday (2nd and 4th Saturdays off) Experience Required : 8–15 years in AI/ML, with 3+ years leading teams in voice, NLP, or conversation platforms Apply : careers@darwix.ai Subject Line : “Application – Head of AI & ML Platforms – [Your Name]” About Darwix AI Darwix AI is a GenAI-powered platform for enterprise revenue teams across sales, support, credit, and retail. Our proprietary AI stack ingests multimodal inputs—voice calls, chat logs, emails, and CCTV streams—and delivers contextual nudges, conversation scoring, and performance analytics in real time. Our suite of products includes: Transform+ : Real-time conversational intelligence for contact centers and field sales Sherpa.ai : A multilingual GenAI assistant that provides in-the-moment coaching, summaries, and objection handling support Store Intel : A computer vision solution that transforms CCTV feeds into actionable insights for physical retail spaces Darwix AI is trusted by large enterprises such as IndiaMart, Wakefit, Emaar, GIVA, Bank Dofar, and Sobha Realty , and is backed by leading institutional and operator investors. We are expanding rapidly across India, the Middle East, and Southeast Asia. Role Overview We are seeking a highly experienced and technically strong Head of AI & ML Platforms to architect and lead the end-to-end AI systems powering our voice intelligence, NLP, and GenAI solutions. This is a leadership role that blends research depth with applied engineering execution. The ideal candidate will have deep experience in building and deploying voice-to-text pipelines, multilingual NLP systems, and production-grade inference workflows. The individual will be responsible for model design, accuracy benchmarking, latency optimization, infrastructure orchestration, and integration across our product suite. This is a critical leadership role with direct influence over product velocity, enterprise client outcomes, and future platform scalability. Key ResponsibilitiesVoice-to-Text (ASR) Architecture Lead the design and optimization of large-scale automatic speech recognition (ASR) pipelines using open-source and commercial frameworks (e.g., WhisperX, Deepgram, AWS Transcribe) Enhance speaker diarization, custom vocabulary accuracy, and latency performance for real-time streaming scenarios Build fallback ASR workflows for offline and batch mode processing Implement multilingual and domain-specific tuning, especially for Indian and GCC languages Natural Language Processing and Conversation Analysis Build NLP models for conversation segmentation, intent detection, tone/sentiment analysis, and call scoring Implement multilingual support (Hindi, Arabic, Tamil, etc.) with fallback strategies for mixed-language and dialectal inputs Develop robust algorithms for real-time classification of sales behaviors (e.g., probing, pitching, objection handling) Train and fine-tune transformer-based models (e.g., BERT, RoBERTa, DeBERTa) and sentence embedding models for text analytics GenAI and LLM Integration Design modular GenAI pipelines for nudging, summarization, and response generation using tools like LangChain, LlamaIndex, and OpenAI APIs Implement retrieval-augmented generation (RAG) architectures for contextual, accurate, and hallucination-resistant outputs Build prompt orchestration frameworks that support real-time sales coaching across channels Ensure safety, reliability, and performance of LLM-driven outputs across use cases Infrastructure and Deployment Lead the development of scalable, secure, and low-latency AI services deployed via FastAPI, TorchServe, or similar frameworks Oversee model versioning, monitoring, and retraining workflows using MLflow, DVC, or other MLOps tools Build hybrid inference systems for batch, real-time, and edge scenarios depending on product usage Optimize inference pipelines for GPU/CPU balance, resource scheduling, and runtime efficiency Team Leadership and Cross-functional Collaboration Recruit, manage, and mentor a team of machine learning engineers and research scientists Collaborate closely with Product, Engineering, and Customer Success to translate product requirements into AI features Own AI roadmap planning, sprint delivery, and KPI measurement Serve as the subject-matter expert for AI-related client discussions, sales demos, and enterprise implementation roadmaps Required Qualifications 8+ years of experience in AI/ML with a minimum of 3 years in voice AI, NLP, or conversational platforms Proven experience delivering production-grade ASR or NLP systems at scale Deep familiarity with Python, PyTorch, HuggingFace, FastAPI, and containerized environments (Docker/Kubernetes) Expertise in fine-tuning LLMs and building multi-language, multi-modal intelligence stacks Demonstrated experience with tools such as WhisperX, Deepgram, Azure Speech, LangChain, MLflow, or Triton Inference Server Experience deploying real-time or near real-time inference models at enterprise scale Strong architectural thinking with the ability to design modular, reusable, and scalable ML services Track record of building and leading high-performing ML teams Preferred Skills Background in telecom, contact center AI, conversational analytics, or field sales optimization Familiarity with GPU deployment, model quantization, and inference optimization Experience with low-resource languages and multilingual data augmentation Understanding of sales enablement workflows and domain-specific ontology development Experience integrating AI models into customer-facing SaaS dashboards and APIs Success Metrics Transcription accuracy improvement by ≥15% across core languages within 6 months End-to-end voice-to-nudge latency reduced below 5 seconds GenAI assistant adoption across 70%+ of eligible conversations AI-driven call scoring rolled out across 100% of Tier 1 clients within 9 months Model deployment velocity (dev to prod) reduced by ≥40% through tooling and process improvements Culture at Darwix AI At Darwix AI, we operate at the intersection of engineering velocity and product clarity. We move fast, prioritize outcomes over optics, and expect leaders to drive hands-on impact. You will work directly with the founding team and senior leaders across engineering, product, and GTM functions. Expect ownership, direct communication, and a culture that values builders who scale systems, people, and strategy. Compensation and Benefits Competitive fixed compensation Performance-based bonuses and growth-linked incentives ESOP eligibility for leadership candidates Access to GPU/compute credits and model experimentation infrastructure Comprehensive medical insurance and wellness programs Dedicated learning and development budget for technical and leadership upskilling MacBook Pro, premium workstation, and access to industry tooling licenses Career Progression 12-month roadmap: Build and stabilize AI platform across all product lines 18–24-month horizon: Elevate to VP of AI or Chief AI Officer as platform scale increases globally Future leadership role in enabling new verticals (e.g., healthcare, finance, logistics) with domain-specific GenAI solutions How to Apply Send the following to careers@darwix.ai : Updated CV (PDF format) A short statement (200 words max) on: “How would you design a multilingual voice-to-text pipeline optimized for low-resource Indic languages, with real-time nudge delivery?” Links to any relevant GitHub repos, publications, or deployed projects (optional) Subject Line : “Application – Head of AI & ML Platforms – [Your Name]” Show more Show less

Applied Machine Learning Scientist – Voice AI, NLP & GenAI Applications Location : Sector 63, Gurugram, Haryana – 100% In-Office Working Days : Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM – 8:00 PM Experience : 3–7 years in applied ML, with at least 2 years focused on voice, NLP, or GenAI deployments Function : AI/ML Research & Engineering | Conversational Intelligence | Real-time Model Deployment Apply : careers@darwix.ai Subject Line : “Application – Applied ML Scientist – [Your Name]” About Darwix AI Darwix AI is a GenAI-powered platform transforming how enterprise sales, support, and credit teams engage with customers. Our proprietary AI stack ingests data across calls, chat, email, and CCTV streams to generate: Real-time nudges for agents and reps Conversational analytics and scoring to drive performance CCTV-based behavior insights to boost in-store conversion We’re live across leading enterprises in India and MENA, including IndiaMart, Wakefit, Emaar, GIVA, Bank Dofar , and others. We’re backed by top-tier operators and venture investors and scaling rapidly across multiple verticals and geographies. Role Overview We are looking for a hands-on, impact-driven Applied Machine Learning Scientist to build, optimize, and productionize AI models across ASR, NLP, and LLM-driven intelligence layers . This is a core role in our AI/ML team where you’ll be responsible for building the foundational ML capabilities that drive our real-time sales intelligence platform. You will work on large-scale multilingual voice-to-text pipelines, transformer-based intent detection, and retrieval-augmented generation systems used in live enterprise deployments. Key ResponsibilitiesVoice-to-Text (ASR) Engineering Deploy and fine-tune ASR models such as WhisperX, wav2vec 2.0, or DeepSpeech for Indian and GCC languages Integrate diarization and punctuation recovery pipelines Benchmark and improve transcription accuracy across noisy call environments Optimize ASR latency for real-time and batch processing modes NLP & Conversational Intelligence Train and deploy NLP models for sentence classification, intent tagging, sentiment, emotion, and behavioral scoring Build call scoring logic aligned to domain-specific taxonomies (sales pitch, empathy, CTA, etc.) Fine-tune transformers (BERT, RoBERTa, etc.) for multilingual performance Contribute to real-time inference APIs for NLP outputs in live dashboards GenAI & LLM Systems Design and test GenAI prompts for summarization, coaching, and feedback generation Integrate retrieval-augmented generation (RAG) using OpenAI, HuggingFace, or open-source LLMs Collaborate with product and engineering teams to deliver LLM-based features with measurable accuracy and latency metrics Implement prompt tuning, caching, and fallback strategies to ensure system reliability Experimentation & Deployment Own model lifecycle: data preparation, training, evaluation, deployment, monitoring Build reproducible training pipelines using MLflow, DVC, or similar tools Write efficient, well-structured, production-ready code for inference APIs Document experiments and share insights with cross-functional teams Required Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields 3–7 years experience applying ML in production, including NLP and/or speech Experience with transformer-based architectures for text or audio (e.g., BERT, Wav2Vec, Whisper) Strong Python skills with experience in PyTorch or TensorFlow Experience with REST APIs, model packaging (FastAPI, Flask, etc.), and containerization (Docker) Familiarity with audio pre-processing, signal enhancement, or feature extraction (MFCC, spectrograms) Knowledge of MLOps tools for experiment tracking, monitoring, and reproducibility Ability to work collaboratively in a fast-paced startup environment Preferred Skills Prior experience working with multilingual datasets (Hindi, Arabic, Tamil, etc.) Knowledge of diarization and speaker separation algorithms Experience with LLM APIs (OpenAI, Cohere, Mistral, LLaMA) and RAG pipelines Familiarity with inference optimization techniques (quantization, ONNX, TorchScript) Contribution to open-source ASR or NLP projects Working knowledge of AWS/GCP/Azure cloud platforms What Success Looks Like Transcription accuracy improvement ≥ 85% across core languages NLP pipelines used in ≥ 80% of Darwix AI’s daily analyzed calls 3–5 LLM-driven product features delivered in the first year Inference latency reduced by 30–50% through model and infra optimization AI features embedded across all Tier 1 customer accounts within 12 months Life at Darwix AI You will be working in a high-velocity product organization where AI is core to our value proposition. You’ll collaborate directly with the founding team and cross-functional leads, have access to enterprise datasets, and work on ML systems that impact large-scale, real-time operations. We value rigor, ownership, and speed. Model ideas become experiments in days, and successful experiments become deployed product features in weeks. Compensation & Perks Competitive fixed salary based on experience Quarterly/Annual performance-linked bonuses ESOP eligibility post 12 months Compute credits and model experimentation environment Health insurance, mental wellness stipend Premium tools and GPU access for model development Learning wallet for certifications, courses, and AI research access Career Path Year 1: Deliver production-grade ASR/NLP/LLM systems for high-usage product modules Year 2: Transition into Senior Applied Scientist or Tech Lead for conversation intelligence Year 3: Grow into Head of Applied AI or Architect-level roles across vertical product lines How to Apply Email the following to careers@darwix.ai : Updated resume (PDF) A short write-up (200 words max): “How would you design and optimize a multilingual voice-to-text and NLP pipeline for noisy call center data in Hindi and English?” Optional: GitHub or portfolio links demonstrating your work Subject Line : “Application – Applied Machine Learning Scientist – [Your Name]” Show more Show less

🚀 Job Title: Senior AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the Senior AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-4 years of experience in building and deploying AI/ML systems, with at least 1-2 years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – Senior AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

🚀 Job Title: Lead AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the Lead AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – Lead AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

Job Title: Senior Backend Engineer (Python/FastAPI) Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience Required: 5–8 years About Darwix AI At Darwix AI, we are building the future of sales enablement with our GenAI-powered conversational intelligence and real-time agent assist platform. Our mission is to empower enterprise sales teams across India, the Middle East, and the US to close better and faster, using the power of AI, NLP, and real-time insights. Backed by top VCs and industry leaders, and led by a seasoned IIT-IIM-BITS founding team, Darwix AI is scaling rapidly across global markets. Our technology combines the best of Large Language Models (LLMs), real-time speech recognition, and sales intelligence to create transformational products for revenue teams worldwide. We are now looking for passionate and driven individuals to join our engineering team and help us build high-performance, scalable AI products that will change the way sales teams work across industries. Role Overview As a Senior Backend Engineer (Python/FastAPI) at Darwix AI, you will play a critical role in designing, developing, and scaling the backend architecture for our GenAI products. You will be deeply involved in building highly scalable APIs, optimizing performance, integrating AI-driven services, and ensuring the robustness of backend systems that power real-time agent assistance across geographies and industries. This role is ideal for engineers who are hands-on, enjoy solving complex system design challenges, and are passionate about building products at the cutting edge of AI, real-time systems, and enterprise-grade SaaS. Key Responsibilities🔹 API Development & System Design Architect, develop, and maintain high-performance RESTful APIs using Python (FastAPI framework). Implement scalable and resilient services that handle real-time data ingestion, processing, and API interactions. Ensure low-latency, fault-tolerant, and highly available backend systems. Design microservices and event-driven architectures optimized for scaling rapidly across users and clients globally. 🔹 Database Design & Optimization Work on data models and database design for high-throughput systems. Manage and optimize relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB). Implement efficient database queries, indexing, and caching strategies to enhance performance. 🔹 AI/ML Systems Integration Integrate AI models (NLP, ASR, RAG-based systems) via APIs into the backend infrastructure. Collaborate closely with AI engineering teams to enable seamless deployment, versioning, and scaling of AI/ML models. Build services that facilitate real-time decisioning, data embedding, and knowledge retrieval (using vector databases like FAISS, Pinecone). 🔹 DevOps and Deployment Implement CI/CD pipelines, containerization (Docker), and work closely with DevOps teams for AWS-based deployments. Build services optimized for deployment in Kubernetes environments. Ensure systems are secure, scalable, and adhere to compliance standards. 🔹 Collaboration & Cross-functional Execution Work closely with frontend developers, AI teams, and product managers to deliver product features end-to-end. Participate in sprint planning, code reviews, and design discussions to continuously improve product quality and engineering best practices. Mentor junior engineers and foster a culture of ownership, learning, and excellence. 🔹 Real-time Processing Systems Build real-time streaming pipelines for capturing and analyzing audio/text events. Implement scalable messaging systems with Kafka, Redis Pub/Sub, or similar technologies. Core RequirementsTechnical Skills Strong proficiency in Python programming language (minimum 5+ years). Expertise with FastAPI framework (preferred) or Flask/Django with the ability to transition to FastAPI easily. Hands-on experience in designing and building scalable REST APIs and microservices. Solid understanding of relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB). Experience integrating third-party APIs and working with AI/ML systems (basic understanding of LLM/RAG systems is a bonus). Good understanding of Docker, GitHub Actions, and cloud services (AWS preferred). Familiarity with event-driven architectures, message brokers (Kafka, RabbitMQ, Redis streams), and asynchronous programming. Exposure to vector databases (FAISS, Pinecone, Chroma) is highly desirable. Solid understanding of authentication/authorization frameworks (OAuth, JWT, SSO). Strong debugging, performance tuning, and optimization skills. Soft Skills High ownership and accountability mindset. Ability to work in a fast-paced, ambiguous startup environment. Structured problem-solver with strong analytical thinking. Excellent communication skills (both written and verbal). Strong team player who thrives on collaboration. Passion for working at the intersection of AI, SaaS, and real-world problem-solving. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field from Tier 1/2 institutes (IITs, BITS, NITs preferred). 5–8 years of hands-on backend engineering experience in a product-driven environment (preferably SaaS, AI, or high-growth startups). Previous experience working in companies building real-time platforms, AI/ML products, or B2B SaaS solutions. What You’ll Get Impact : Directly shape products that redefine enterprise sales operations using cutting-edge AI. Ownership : Own and build critical backend systems that serve enterprise users across India, MENA, and US. Growth : Work with high-caliber colleagues from IIT, BITS, and IIM backgrounds. Steep learning curve guaranteed. Compensation : Competitive salary with performance-linked bonuses. ESOPs available for high performers. Culture : High-trust, high-speed, high-ownership work environment. We reward execution, learning, and hustle. Tools and Tech : Work with best-in-class engineering tools, cloud infrastructure, and AI platforms. Vision : Be a core part of scaling one of India's fastest-growing AI SaaS startups from 0 to 1 and beyond. About the Tech Stack You’ll Work On Languages : Python 3.x Frameworks : FastAPI (Primary), Flask/Django (Secondary) Databases : MySQL, PostgreSQL, MongoDB, Redis Cloud & DevOps : AWS EC2, AWS S3, Docker, Kubernetes (optional), GitHub Actions APIs : RESTful APIs, OpenAPI, GraphQL (optional) AI/ML Integration : Whisper, HuggingFace Transformers, LangChain, Vector Databases (FAISS/Pinecone) Messaging/Streaming : Kafka, Redis Pub/Sub Other Tools : JIRA, Slack, GitHub, Datadog (optional) Application Process Submit your resume and GitHub/portfolio links. Shortlisted candidates will have a technical assessment (design + coding). Technical interview rounds (1-2 rounds). Final round with leadership/founder team. Offer! How to Apply If you're ready to build real-world, production-grade AI systems and work in one of India's most ambitious startups, apply now at : 📩 careers@darwix.ai Please include: Your latest resume GitHub/Portfolio links (if any) A short note (2–3 lines) on why you're excited to join Darwix AI Join us, and let's build the future of AI-powered sales enablement together. #SeniorBackendEngineer #PythonDeveloper #FastAPI #BackendEngineering #StartupJobs #AIJobs #SaaSCareers #DarwixAI Show more Show less

Job Title: Lead Backend Developer (Python & Microservices) Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience Required: 6–10 years About Darwix AI Darwix AI is at the forefront of building the future of revenue enablement through a GenAI-powered conversational intelligence and real-time agent assist platform. Our mission is to empower global sales teams to close better, faster, and smarter by harnessing the transformative power of Generative AI, real-time speech recognition, multilingual insights, and next-gen sales analytics. Backed by top venture capitalists and industry leaders, Darwix AI is scaling rapidly across India, MENA, and US markets. With a leadership team from IIT, IIM, and BITS, we are building enterprise-grade SaaS solutions that are poised to redefine how organizations engage with customers. If you are looking for a role where your work directly powers mission-critical AI applications used globally, this is your moment. Role Overview We are seeking a Lead Backend Developer (Python & Microservices) to drive the architecture, scalability, and performance of our GenAI platform's core backend services. You will own the responsibility of designing, building, and leading backend systems that are real-time, distributed, and capable of supporting AI-powered applications at scale. You will mentor engineers, set technical direction, collaborate across AI, Product, and Frontend teams, and ensure that the backend infrastructure is robust, secure, and future-proof. This is a high-ownership, high-impact role for individuals who are passionate about building world-class systems that are production-ready, scalable, and designed for rapid innovation. Key Responsibilities🔹 Backend Architecture and Development Architect and lead the development of highly scalable, modular, and event-driven backend systems using Python. Build and maintain RESTful APIs and microservices that power real-time, multilingual conversational intelligence platforms. Design systems with a strong focus on scalability, fault tolerance, high availability, and security. Implement API gateways, service registries, authentication/authorization layers, and caching mechanisms. 🔹 Microservices Strategy Champion microservices best practices: service decomposition, asynchronous communication, event-driven workflows. Manage service orchestration, containerization, and scaling using Docker and Kubernetes (preferred). Implement robust service monitoring, logging, and alerting frameworks for proactive system health management. 🔹 Real-time Data Processing Build real-time data ingestion and processing pipelines using tools like Kafka, Redis streams, WebSockets. Integrate real-time speech-to-text (STT) engines and AI/NLP pipelines into backend flows. Optimize performance to achieve low-latency processing suitable for real-time agent assist experiences. 🔹 Database and Storage Management Design and optimize relational (PostgreSQL/MySQL) and non-relational (MongoDB, Redis) database systems. Implement data sharding, replication, and backup strategies for resilience and scalability. Integrate vector databases (FAISS, Pinecone, Chroma) to support AI retrieval and embedding-based search. 🔹 DevOps and Infrastructure Collaborate with DevOps teams to deploy scalable and reliable services on AWS (EC2, S3, Lambda, EKS). Implement CI/CD pipelines, containerization strategies, and blue-green deployment models. Ensure security compliance across all backend services (API security, encryption, RBAC). 🔹 Technical Leadership Mentor junior and mid-level backend engineers. Define and enforce coding standards, architectural patterns, and best practices. Conduct design reviews, code reviews, and ensure high engineering quality across the backend team. 🔹 Collaboration Work closely with AI scientists, Product Managers, Frontend Engineers, and Customer Success teams to deliver delightful product experiences. Translate business needs into technical requirements and backend system designs. Drive sprint planning, estimation, and delivery for backend engineering sprints. Core RequirementsTechnical Skills 6–10 years of hands-on backend engineering experience. Expert-level proficiency in Python . Strong experience building scalable REST APIs and microservices. Deep understanding of FastAPI (preferred) or Flask/Django frameworks. In-depth knowledge of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases. Experience with event-driven architectures: Kafka, RabbitMQ, Redis streams. Proficiency in containerization and orchestration: Docker, Kubernetes. Familiarity with real-time communication protocols: WebSockets, gRPC. Strong understanding of cloud platforms (AWS preferred) and serverless architectures. Good experience with DevOps tools: GitHub Actions, Jenkins, Terraform (optional). Bonus Skills Exposure to integrating AI/ML models (especially LLMs, STT, Diarization models) in backend systems. Familiarity with vector search databases and RAG-based architectures. Knowledge of GraphQL API development (optional). Experience in multilingual platform scaling (support for Indic languages is a plus). Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. Experience working in product startups, SaaS platforms, AI-based systems, or high-growth technology companies. Proven track record of owning backend architecture at scale (millions of users or real-time systems). Strong understanding of software design principles (SOLID, DRY, KISS) and scalable system architecture. What You’ll Get Ownership : Lead backend engineering at one of India's fastest-growing GenAI startups. Impact : Build systems that directly power the world's next-generation enterprise sales platforms. Learning : Work with an elite founding team and top engineers from IIT, IIM, BITS, and top tech companies. Growth : Fast-track your career into senior technology leadership roles. Compensation : Competitive salary + ESOPs + performance bonuses. Culture : High-trust, high-ownership, no-bureaucracy environment focused on speed and innovation. Vision : Be a part of a once-in-a-decade opportunity building from India for the world. About the Tech Stack You’ll Work On Languages : Python 3.x Frameworks : FastAPI (Primary), Flask/Django (Secondary) Data Stores : PostgreSQL, MongoDB, Redis, FAISS, Pinecone Messaging Systems : Kafka, Redis Streams Cloud Platforms : AWS (EC2, S3, Lambda, EKS) DevOps : Docker, Kubernetes, GitHub Actions Others : WebSockets, OAuth 2.0, JWT, Microservices Patterns Application Process Submit your updated resume and GitHub/portfolio links (if available). Shortlisted candidates will have a technical discussion and coding assessment. Technical interview rounds covering system design, backend architecture, and problem-solving. Final leadership interaction round. Offer! How to Apply 📩 careers@darwix.ai Please include: Updated resume GitHub profile (optional but preferred) 2–3 lines about why you're excited to join Darwix AI as a Lead Backend Engineer Join Us at Darwix AI – Build the AI Future for Revenue Teams, Globally! #LeadBackendDeveloper #PythonEngineer #MicroservicesArchitecture #BackendEngineering #FastAPI #DarwixAI #AIStartup #TechCareers Show more Show less

🚀 Job Title: Engineering Lead Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience: 5–10 Years Compensation: Competitive + Performance-based incentives + Meaningful ESOPs 🧠 About Darwix AI Darwix AI is one of India’s fastest-growing AI startups, building the future of enterprise revenue intelligence. We offer a GenAI-powered conversational intelligence and real-time agent assist suite that transforms how large sales teams interact, close deals, and scale operations. We’re already live with enterprise clients across India, the UAE, and Southeast Asia , and our platform enables multilingual speech-to-text, AI-driven nudges, and contextual conversation coaching—backed by our proprietary LLMs and cutting-edge voice infrastructure. With backing from top-tier VCs and over 30 angel investors, we’re now hiring an Engineering Lead who can architect, own, and scale the core engineering stack as we prepare for 10x growth. 🌟 Role Overview As the Engineering Lead at Darwix AI , you’ll take ownership of our platform architecture, product delivery, and engineering quality across the board. You’ll work closely with the founders, product managers, and the AI team to convert fast-moving product ideas into scalable features. You will: Lead backend and full-stack engineers across microservices, APIs, and real-time pipelines Architect scalable systems for AI/LLM deployments Drive code quality, maintainability, and engineering velocity This is a hands-on, player-coach role —perfect for someone who loves building but is also excited about mentoring and growing a technical team. 🎯 Key Responsibilities🛠️ Technical Leadership Own technical architecture across backend, frontend, and DevOps stacks Translate product roadmaps into high-performance, production-ready systems Drive high-quality code reviews, testing practices, and performance optimization Make critical system-level decisions around scalability, security, and reliability 🚀 Feature Delivery Work with the product and AI teams to build new features around speech recognition, diarization, real-time coaching, and analytics dashboards Build and maintain backend services for data ingestion, processing, and retrieval from Vector DBs, MySQL, and MongoDB Create clean, reusable APIs (REST & WebSocket) that power our web-based agent dashboards 🧱 System Architecture Refactor monoliths into microservice-based architecture Optimize real-time data pipelines with Redis, Kafka, and async queues Implement serverless modules using AWS Lambda, Docker containers, and CI/CD pipelines 🧑‍🏫 Mentorship & Team Building Lead a growing team of engineers—guide on architecture, code design, and performance tuning Foster a culture of ownership, documentation, and continuous learning Mentor junior developers, review PRs, and set up internal coding best practices 🔄 Collaboration Act as the key technical liaison between Product, Design, AI/ML, and DevOps teams Work directly with founders on roadmap planning, delivery tracking, and go-live readiness Contribute actively to investor tech discussions, client onboarding, and stakeholder calls ⚙️ Our Tech Stack Languages: Python (FastAPI, Django), PHP (legacy support), JavaScript, TypeScript Frontend: HTML, CSS, Bootstrap, Mustache templates; (React.js/Next.js optional) AI/ML Integration: LangChain, Whisper, RAG pipelines, Transformers, Deepgram, OpenAI APIs Databases: MySQL, PostgreSQL, MongoDB, Redis, Pinecone/FAISS (Vector DBs) Cloud & Infra: AWS EC2, S3, Lambda, CloudWatch, Docker, GitHub Actions, Nginx DevOps: Git, Docker, CI/CD pipelines, Jenkins/GitHub Actions, load testing Tools: Jira, Notion, Slack, Postman, Swagger 🧑‍💼 Who You Are 5–10 years of professional experience in backend/full-stack development Proven experience leading engineering projects or mentoring junior devs Comfortable working in high-growth B2B SaaS startups or product-first orgs Deep expertise in one or more backend frameworks (Django, FastAPI, Laravel, Flask) Experience working with AI products or integrating APIs from OpenAI, Deepgram, HuggingFace is a huge plus Strong understanding of system design, DB normalization, caching strategies, and latency optimization Bonus: exposure to working with voice pipelines (STT/ASR), NLP models, or real-time analytics 📌 Qualities We’re Looking For Builder-first mindset – you love launching features fast and scaling them well Execution speed – you move with urgency but don’t break things Hands-on leadership – you guide people by writing code, not just processes Problem-solver – when things break, you own the fix and the root cause Startup hunger – you thrive on chaos, ambiguity, and shipping weekly 🎁 What We Offer High Ownership : Directly shape the product and its architecture from the ground up Startup Velocity : Ship fast, learn fast, and push boundaries Founding Engineer Exposure : Work alongside IIT-IIM-BITS founders with full transparency Compensation : Competitive salary + meaningful equity + performance-based incentives Career Growth : Move into an EM/CTO-level role as the org scales Tech Leadership : Own features end-to-end—from spec to deployment 🧠 Final Note This is not just another engineering role. This is your chance to: Own the entire backend for a GenAI product serving global enterprise clients Lead technical decisions that define our future infrastructure Join the leadership team at a startup that’s shipping faster than anyone else in the category If you're ready to build a product with 10x potential, join a high-output team, and be the reason why the tech doesn’t break at scale , this role is for you. 📩 How to Apply Send your resume to people@darwix.ai with the subject line: “Application – Engineering Lead – [Your Name]” Attach: Your latest CV or LinkedIn profile GitHub/portfolio link (if available) A short note (3–5 lines) on why you're excited about Darwix AI and this role Show more Show less

Job Title: QA Engineer Location: Gurugram (On-site) Experience Required: 2–5 years Work Schedule: Monday to Friday, 10:30 AM – 8:00 PM (1st and 3rd Saturdays off) About Darwix AI Darwix AI is a GenAI-powered platform built for enterprise revenue teams across sales, support, credit, and retail. Our proprietary AI stack processes multimodal data—voice calls, chat logs, emails, and CCTV streams—and delivers real-time contextual nudges, conversation scoring, and performance analytics. Our suite of products includes: Transform+: Real-time conversational intelligence for contact centers and field sales Sherpa.ai: Multilingual GenAI assistant providing live coaching, summaries, and objection handling Store Intel: A computer vision solution converting CCTV streams into actionable retail insights We are trusted by leading organizations like IndiaMart, Wakefit, Emaar, GIVA, Bank Dofar, and Sobha Realty, and are backed by premier institutional investors. Key Responsibilities Design and execute detailed test plans, test cases, and test scripts for web and API testing Perform functional, regression, smoke, and integration testing across platforms Identify, document, and track bugs using test management and issue tracking tools (e.g., Jira) Collaborate closely with developers, product managers, and DevOps to ensure test coverage and quality standards Contribute to automation test suites using tools like Selenium or Postman Participate in Agile ceremonies and sprint reviews, and help define acceptance criteria during backlog grooming Ensure adherence to best practices in QA processes and documentation Required Qualification Bachelor's degree in Computer Science, Engineering, or a related field 2–5 years of experience in manual and automation testing Strong understanding of QA methodologies, software development lifecycle (SDLC), and Agile practices Hands-on experience with tools such as Selenium, Postman, Jira, and Git Familiarity with writing test cases, bug reporting, and root cause analysis Knowledge of API testing and browser-based testing Basic understanding of CI/CD pipelines and test automation frameworks is a plus Strong analytical, problem-solving, and communication skills. Show more Show less

🚀 AI Engineering Intern (SDE) – Founding Tech Interns | Opportunity of a Lifetime Location: Gurgaon (In-Office) Duration: 3–6 months (Flexible based on academic schedule) Start Date: Immediate openings Open to: Tier 1 college students graduating in 2025 or 2026 Compensation: Stipend + Pre-Placement Offer potential + Founders’ recommendation for global fellowships (Google, Meta, etc.) 🧠 About Us – Darwix AI Darwix AI is on a mission to solve a problem no one's cracked yet — building real-time, multilingual conversational intelligence for omnichannel enterprise sales teams using the power of Generative AI. We're building India’s answer to Gong + Refract + Harvey AI — trained on 1M+ hours of sales conversations, and packed with industry-first features like live agent coaching , speech-to-text in 11 Indic languages , and autonomous sales enablement nudges . We’ve got global clients, insane velocity, and a team of ex-operators from IIMs, IITs, and top-tier AI labs. 🌌 Why This Internship is Unlike Anything Else 💡 Work on a once-in-a-decade problem — pushing the boundaries of GenAI + Speech + Edge compute. 🛠️ Ship real products used by enterprise teams across India & the Middle East. 🧪 Experiment freely — train models, optimize pipelines, fine-tune LLMs, or build scrapers that work in 5 languages. 🚀 Move fast, learn faster — direct mentorship from the founding engineering and AI team. 🏆 Proof-of-excellence opportunity — stand out in every future job, B-school, or YC application. 💻 What You'll Do Build and optimize core components of our real-time agent assist engine (Python + FastAPI + Kafka + Redis). Train, evaluate, and integrate whisper, wav2vec, or custom STT models on diverse datasets. Work on LLM/RAG pipelines , prompt engineering, or vector DB integrations. Develop internal tools to analyze, visualize, and scale insights from conversations across languages. Optimize for latency, reliability, and multilingual accuracy in dynamic customer environments. 🌟 Who You Are Pursuing a B.Tech/B.E. or dual degree from IITs, IIITs, BITS, NIT Trichy/Warangal/Surathkal, or other top-tier institutes. Comfortable with Python , REST APIs, and database operations. Bonus: familiarity with FastAPI, Langchain, or HuggingFace. Passionate about AI/ML, especially NLP, GenAI, ASR, or multimodal systems. Always curious, always shipping, always pushing yourself beyond the brief. Looking for an internship that actually matters — not one where you're just fixing CSS. 🌐 Tech You’ll Touch Python, FastAPI, Kafka, Redis, MongoDB, Postgres Whisper, Deepgram, Wav2Vec, HuggingFace Transformers OpenAI, Anthropic, Gemini APIs LangChain, FAISS, Pinecone, LlamaIndex Docker, GitHub Actions, Linux environments 🎯 What’s in it for you A pre-placement offer for the best performers. A chance to be a founding engineer post-graduation. Exposure to the VC ecosystem , client demos, and GTM strategies. Stipend + access to tools/courses/compute resources you need to thrive. 🚀 Ready to Build the Future? If you’re one of those rare folks who can combine deep tech with deep curiosity , this is your call to adventure. Join us in building something that’s never been done before. Apply now at careers@cur8.in Attach your CV + GitHub/Portfolio + a line on why this excites you. Bonus points if you share a project you’ve built or an AI problem you’re obsessed with. Darwix AI | GenAI for Revenue Teams | Built from India for the World Show more Show less

Job Title: Senior Python Developer Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience: 3–8 years About Darwix AI Darwix AI is one of India’s fastest-growing AI startups, transforming enterprise sales with our GenAI-powered conversational intelligence and real-time agent assist suite. Our platform is used by high-growth enterprises across India, MENA, and Southeast Asia to improve sales productivity, personalize customer conversations, and unlock revenue intelligence in real-time. We are backed by marquee VCs, 30+ angel investors, and led by alumni from IITs, IIMs, and BITS with deep experience in building and scaling products from India for the world. Role Overview As a Senior Python Developer at Darwix AI, you will be at the core of our engineering team, leading the development of scalable, secure, and high-performance backend systems that support AI workflows, real-time data processing, and enterprise-grade integrations. This role requires deep technical expertise in Python, a strong foundation in backend architecture, and the ability to collaborate closely with AI, product, and infrastructure teams. You will take ownership of critical backend modules and shape the engineering culture in a rapidly evolving, high-impact environment. Key Responsibilities System Architecture & API Development Design, implement, and optimize backend services and microservices using Python frameworks such as FastAPI, Django, or Flask Lead the development of scalable RESTful APIs that integrate with frontend, mobile, and AI systems Architect low-latency, fault-tolerant services supporting real-time sales analytics and AI inference Data Pipelines & Integrations Build and optimize ETL pipelines to manage structured and unstructured data from internal and third-party sources Integrate APIs with CRMs, telephony systems, transcription engines, and enterprise platforms like Salesforce, Zoho, and LeadSquared Lead scraping and data ingestion efforts from large-scale, dynamic web sources using Playwright, BeautifulSoup, or Scrapy AI/ML Enablement Work closely with AI engineers to build infrastructure for LLM/RAG pipelines , vector DBs , and real-time AI decisioning Implement backend support for prompt orchestration , Langchain flows , and function-calling interfaces Support model deployment, inference APIs, and logging/monitoring for large-scale GenAI pipelines Database & Storage Design Optimize database design and queries using MySQL , PostgreSQL , and MongoDB Architect and manage Redis and Kafka for caching, queueing, and real-time communication DevOps & Quality Ensure continuous delivery through version control (Git), CI/CD pipelines, testing frameworks, and Docker-based deployments Identify and resolve bottlenecks related to performance, memory, or data throughput Adhere to best practices in code quality, testing, security, and documentation Leadership & Collaboration Mentor junior developers and participate in code reviews Collaborate cross-functionally with product, AI, design, and sales engineering teams Contribute to architectural decisions, roadmap planning, and scaling strategies Qualifications 4–8 years of backend development experience in Python, with a deep understanding of object-oriented and functional programming Hands-on experience with FastAPI , Django , or Flask in production environments Proven experience building scalable microservices, data pipelines, and backend systems that support live applications Strong command over REST API architecture , database optimization, and data modeling Solid experience working with web scraping tools , automation frameworks, and external API integrations Knowledge of AI tools like Langchain , HuggingFace , Vector DBs (Pinecone, Weaviate, FAISS) , or RAG architectures is a strong plus Familiarity with cloud infrastructure (AWS/GCP) , Docker, and containerized deployments Comfortable working in fast-paced, high-ownership environments with shifting priorities and dynamic problem-solving Bonus Prior experience in an early-stage SaaS startup or AI-first product environment Contributions to open-source Python projects or developer communities Experience working with real-time streaming systems (Kafka, Redis Streams, WebSockets) What We Offer Competitive fixed salary + performance-linked incentives Equity options for high-impact performers Opportunity to work on cutting-edge GenAI and SaaS products used by global enterprises Autonomy, rapid decision-making, and direct interaction with founders and senior leadership High-growth environment with clear progression toward Tech Lead or Engineering Manager roles Access to tools, compute, and learning resources to accelerate your technical and leadership growth Show more Show less

Job Title: Senior Python Developer – Backend Engineering Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience Required: 4–8 Years About Darwix AI Darwix AI is building India’s most advanced GenAI-powered platform for enterprise sales teams. We combine speech recognition, LLMs, vector databases, real-time analytics, and multilingual intelligence to power customer conversations across India, the Middle East, and Southeast Asia. We’re solving complex backend problems across speech-to-text pipelines , agent assist systems , AI-based real-time decisioning , and scalable SaaS delivery . Our engineering team sits at the core of our product and works closely with AI research, product, and client delivery to build the future of revenue enablement. Backed by top-tier VCs, AI advisors, and enterprise clients, this is a chance to build something foundational. Role Overview We are hiring a Senior Python Developer to architect, implement, and optimize high-performance backend systems that power our AI platform. You will take ownership of key backend services—from core REST APIs and data pipelines to complex integrations with AI/ML modules. This role is for builders. You’ll work closely with product, AI, and infra teams, write production-grade Python code, lead critical decisions on architecture, and help shape engineering best practices. Key Responsibilities 1. Backend API Development Design and implement scalable, secure RESTful APIs using FastAPI , Flask , or Django REST Framework Architect modular services and microservices to support AI, transcription, real-time analytics, and reporting Optimize API performance with proper indexing, pagination, caching, and load management strategies Integrate with frontend systems, mobile clients, and third-party systems through clean, well-documented endpoints 2. AI Integrations & Inference Orchestration Work closely with AI engineers to integrate GenAI/LLM APIs (OpenAI, Llama, Gemini), transcription models (Whisper, Deepgram), and retrieval-augmented generation (RAG) workflows Build services to manage prompt templates, chaining logic, and LangChain flows Deploy and manage vector database integrations (e.g., FAISS , Pinecone , Weaviate ) for real-time search and recommendation pipelines 3. Database Design & Optimization Model and maintain relational databases using MySQL or PostgreSQL ; experience with MongoDB is a plus Optimize SQL queries, schema design, and indexes to support low-latency data access Set up background jobs for session archiving, transcript cleanup, and audio-data binding 4. System Architecture & Deployment Own backend deployments using GitHub Actions , Docker , and AWS EC2 Ensure high availability of services through containerization, horizontal scaling, and health monitoring Manage staging and production environments, including DB backups, server health checks, and rollback systems 5. Security, Auth & Access Control Implement robust authentication (JWT, OAuth), rate limiting , and input validation Build role-based access controls (RBAC) and audit logging into backend workflows Maintain compliance-ready architecture for enterprise clients (data encryption, PII masking) 6. Code Quality, Documentation & Collaboration Write clean, modular, extensible Python code with meaningful comments and documentation Build test coverage (unit, integration) using PyTest , unittest , or Postman/Newman Participate in pull requests, code reviews, sprint planning, and retrospectives with the engineering team Required Skills & QualificationsTechnical Expertise 3–8 years of experience in backend development with Python, PHP. Strong experience with FastAPI , Flask , or Django (at least one in production-scale systems) Deep understanding of RESTful APIs , microservice architecture, and asynchronous Python patterns Strong hands-on with MySQL (joins, views, stored procedures); bonus if familiar with MongoDB , Redis , or Elasticsearch Experience with containerized deployment using Docker and cloud platforms like AWS or GCP Familiarity with Git , GitHub , CI/CD pipelines , and Linux-based server environments Plus Points Experience working on audio processing , speech-to-text (STT) pipelines, or RAG architectures Hands-on with vector databases or LangChain , LangGraph Exposure to real-time systems, WebSockets, and stream processing Basic understanding of frontend integration workflows (e.g., with HTML/CSS/JS interfaces) Show more Show less

Lead Python Engineer – Backend & AI Integrations Location: Gurgaon Working Days: Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM – 8:00 PM Experience : 3–8 years Function: Backend Engineering | AI Platform Integration | Scalable Systems About Darwix AI Darwix AI is one of India’s fastest-growing GenAI SaaS companies powering real-time decision intelligence for enterprise revenue teams. Our platform transforms frontline performance through: Transform+: Live agent nudges & call intelligence Sherpa.ai: GenAI-powered multilingual sales coach Store Intel: Computer vision for in-store sales analysis We serve market leaders across BFSI, real estate, and retail—including IndiaMart, Wakefit, GIVA, Sobha, and Bank Dofar. Our stack processes thousands of voice conversations daily, powers real-time dashboards, and delivers high-stakes nudges that directly impact multi-crore revenue pipelines. We are building at the intersection of voice AI, backend scale, and real-time analytics. You will play a key role in shaping the tech foundation that drives this mission. Role Overview We’re looking for a Lead Python Engineer to architect, own, and scale the core backend systems that power Darwix AI’s GenAI applications. You’ll work at the confluence of backend engineering, data pipelines, speech processing, and AI model integrations—supporting everything from real-time call ingestion to multi-tenant analytics dashboards. You will lead a high-performing engineering pod, collaborate with product, AI, and infra teams, and mentor junior engineers. This is a high-impact, ownership-first role with direct influence over product velocity, system performance, and enterprise reliability. Key Responsibilities 1. Backend Architecture & Infrastructure Design and maintain scalable APIs and backend systems using Python (FastAPI) Optimize data flow for speech-to-text transcription, diarization outputs, and call scoring workflows Build and maintain modular service components (STT, scoring engine, notification triggers) Manage asynchronous job queues (Celery, Redis) for large batch processing Ensure high availability, security, and scalability of backend systems across geographies 2. AI/ML Integration & Processing Pipelines Integrate with LLMs (OpenAI, Cohere, Hugging Face) and inference APIs for custom use cases Handle ingestion and parsing of STT outputs (WhisperX, Deepgram, etc.) Work closely with the AI team to productionize model outputs into usable product layers Manage embedding pipelines, RAG workflows, and retrieval caching across client tenants 3. Database & Data Engineering Design and maintain schemas across PostgreSQL, MongoDB, and TimescaleDB Optimize read/write operations for large call data, agent metrics, and dashboard queries Collaborate on real-time analytics systems used by enterprise sales teams Implement access controls and tenant isolation logic for sensitive sales data 4. Platform Reliability, Monitoring & Scaling Collaborate with DevOps team on infrastructure orchestration (Docker, Kubernetes, GitHub Actions) Set up alerting, logging, and auto-recovery protocols for uptime guarantees Drive version control and CI/CD automation for releases with minimal regression Support benchmarking, load testing, and latency reduction initiatives 5. Technical Leadership & Team Collaboration Mentor junior engineers, review pull requests, and enforce code quality standards Collaborate with product managers on scoping and technical feasibility Break down large tech initiatives into sprints and delegate effectively Take ownership of technical decisions and present trade-offs with clarity Required Skills & Experience 3–8 years of hands-on backend engineering experience, primarily in Python Strong grasp of FastAPI, REST APIs, job queues (Celery), and async workflows Solid experience with relational and NoSQL databases: PostgreSQL, MongoDB, Redis Familiarity with working on production systems involving large-scale API calls or streaming data Prior experience integrating 3rd-party APIs (e.g., OpenAI, CRM, VoIP, or transcription vendors) Working knowledge of Docker, CI/CD pipelines (GitHub Actions preferred), and basic infra scaling Experience working in high-growth SaaS or data-product companies Bonus Skills (Preferred, Not Mandatory) Experience with LLM applications, vector stores (FAISS, Pinecone), and RAG pipelines Familiarity with speech-to-text engines (WhisperX, Deepgram) and audio processing Prior exposure to multi-tenant SaaS systems with role-based access and usage metering Knowledge of OAuth2, webhooks, event-driven architectures Experience with frontend collaboration (Angular/React) and mobile APIs Contributions to open-source projects, technical blogs, or developer communities Show more Show less

Job Title: QA Engineer Location: Gurugram (On-site) Experience Required: 0–2 years Work Schedule: Monday to Friday, 10:30 AM – 8:00 PM (1st and 3rd Saturdays off) About Darwix AI Darwix AI is a GenAI-powered platform built for enterprise revenue teams across sales, support, credit, and retail. Our proprietary AI stack processes multimodal data—voice calls, chat logs, emails, and CCTV streams—and delivers real-time contextual nudges, conversation scoring, and performance analytics. Our suite of products includes: Transform+: Real-time conversational intelligence for contact centers and field sales Sherpa.ai: Multilingual GenAI assistant providing live coaching, summaries, and objection handling Store Intel: A computer vision solution converting CCTV streams into actionable retail insights We are trusted by leading organizations like IndiaMart, Wakefit, Emaar, GIVA, Bank Dofar, and Sobha Realty, and are backed by premier institutional investors. Key Responsibilities Design and execute detailed test plans, test cases, and test scripts for web and API testing Perform functional, regression, smoke, and integration testing across platforms Identify, document, and track bugs using test management and issue tracking tools (e.g., Jira) Collaborate closely with developers, product managers, and DevOps to ensure test coverage and quality standards Contribute to automation test suites using tools like Selenium or Postman Participate in Agile ceremonies and sprint reviews, and help define acceptance criteria during backlog grooming Ensure adherence to best practices in QA processes and documentation Required Qualification Bachelor's degree in Computer Science, Engineering, or a related field Strong understanding of QA methodologies, software development lifecycle (SDLC), and Agile practices Hands-on experience with tools such as Selenium, Postman, Jira, and Git Familiarity with writing test cases, bug reporting, and root cause analysis Knowledge of API testing and browser-based testing Basic understanding of CI/CD pipelines and test automation frameworks is a plus Strong analytical, problem-solving, and communication skills. Show more Show less

🚀 Job Description: Enterprise Sales Director | AI SaaS | US, MENA & India 🚀 📍 Location: Gurgaon (with travel) 📌 Type: Full-Time 🔥 About Darwix AI – Leading the AI-Driven Sales Tech Revolution At Darwix AI , we are building something truly game-changing —a Gen-AI-powered sales enablement platform that is redefining how enterprises engage customers, drive revenue, and scale using AI. Backed by top VCs, AI pioneers, and industry leaders , Darwix AI is expanding rapidly across India, MENA, and the US , transforming how businesses optimize their sales processes through AI-driven automation. 💡 This is NOT just another SaaS sales role. This is a high-impact leadership position, driving global expansion in key regions—US, MENA, and India. The role comes with a cap on fixed salary but a massive upside on commissions and equity. We are looking for a high-performing, revenue-focused leader who believes in building, scaling, and owning their numbers—NOT just collecting a paycheck. 🚀 Role Overview – Own, Drive & Scale Global Enterprise Sales As an Enterprise Sales Director at Darwix AI , you will: ✅ Own and drive the enterprise sales strategy across India, MENA, and the US. ✅ Close large-scale, high-value enterprise SaaS deals ($250K - $1M ACV). ✅ Expand Darwix AI’s footprint into key industries, building high-impact relationships with CXOs. ✅ Establish a high-performance sales playbook and drive execution at scale. This role is for hunters, closers, and sales leaders who can build relationships with Fortune 500 clients, navigate complex deal cycles, and drive exponential revenue growth. 🔥 Key Responsibilities – Win, Expand, & Scale Enterprise Sales1️⃣ Sales Leadership & Revenue Ownership Own and execute the revenue strategy for enterprise AI SaaS solutions in India, MENA, and the US. Aggressively drive multi-million-dollar revenue growth , consistently exceeding targets. Manage and optimize a full-cycle enterprise sales pipeline , from prospecting to deal closure. Lead high-value sales cycles , closing $500K+ annual contract value (ACV) deals. 2️⃣ Global Expansion & GTM Strategy Develop and execute GTM strategies for high-growth enterprise adoption in key regions (US, MENA, India). Identify high-value verticals and tailor sales strategies to drive AI adoption in target markets. Build and scale strategic partnerships, reseller programs, and alliances to accelerate growth. 3️⃣ Enterprise Relationship Management & CXO Engagement Engage directly with Fortune 500 decision-makers, including CEOs, CROs, and Sales Leaders. Become a trusted advisor by understanding enterprise sales challenges and delivering AI-powered solutions. Own and nurture long-term relationships , ensuring expansion and renewal of high-value contracts. 4️⃣ Sales Team Leadership & Execution Culture Hire, mentor, and manage a team of high-performing enterprise sales professionals. Build a fast-moving, execution-focused sales culture where accountability and performance drive results. Implement sales methodologies (MEDDIC, Challenger, SPIN) to optimize conversion rates. 5️⃣ Revenue Operations & Deal Strategy Own the sales P&L , ensuring accurate forecasting and data-driven decision-making. Work cross-functionally with marketing, product, and finance teams to align pricing, deals, and GTM motions. Track and optimize sales performance metrics, continuously iterating to improve win rates. 6️⃣ AI & Product-Led Selling Develop deep product expertise in AI-driven sales enablement solutions. Provide real-time feedback to product and AI teams to enhance features and competitive positioning. Stay ahead of market trends, competitor insights, and AI advancements to maintain a strategic edge. ✅ Who Should Apply? (This Role is NOT for Everyone)🔍 High-Performance Sales Leaders with Global Experience You have built and scaled enterprise sales teams in high-growth SaaS companies. You have a deep understanding of enterprise sales cycles in the US, MENA, and Indian markets. ⚙️ Enterprise SaaS Hunters & Closers You have closed $500K+ enterprise SaaS deals and engaged with CXOs at Fortune 500 companies. You know how to build a $10M+ revenue pipeline and convert it into real deals. 🚀 Startup Hustlers & Execution-Obsessed Leaders You thrive in a high-speed, high-pressure sales environment. You are comfortable driving multi-million-dollar growth in a fast-growing startup. 📌 Qualifications – If You Don’t Meet These, Work Harder 8-12 years of experience in enterprise SaaS sales, with at least 5 years in leadership roles. Proven track record of selling AI, SaaS, or enterprise tech solutions in US, MENA, and India. Experience in closing large ACV ($500K+) deals and leading high-impact sales cycles. Strong network of C-suite and senior decision-makers in enterprise businesses. Ability to travel extensively across India, MENA, and US to close high-value deals. 💰 What You’ll Get – If You Can Handle It 🔥 Own and drive revenue growth for a hyper-growth AI SaaS startup. 🚀 Close multi-million-dollar deals with Fortune 500 clients. 📈 Uncapped earning potential – high commissions and equity upside. 💡 High ownership, extreme learning, and fast career acceleration. 💰 Fixed salary is capped, but commission and equity potential is massive. ⚠️ Final Warning – This Role is NOT for Everyone 🚫 If you are looking for a slow, process-heavy enterprise sales role, this is NOT for you. 🚫 If you are not comfortable engaging with Fortune 500 CXOs, this is NOT for you. 🚫 If you are only looking for a predictable fixed salary, this is NOT for you. 💡 But if you are a high-performance Enterprise Sales Leader who wants to own and scale a high-growth AI SaaS business across US, MENA, and India—this is your defining moment. 👉 Apply Now & Build the Future of AI-Driven Sales at Darwix AI! 🚀 Show more Show less

Senior Manager – Enterprise Sales | Strategic SaaS & AI Solutions Location : Sector 63, Gurugram, Haryana – 100% In-Office Working Days : Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM – 8:00 PM Experience : 7–12 years in enterprise/B2B SaaS sales, including large deal ownership and team leadership Function : Enterprise Growth | Strategic Sales | CXO Partnerships Apply : careers@darwix.ai Subject Line : “Application – Senior Manager – Enterprise Sales – [Your Name]” About Darwix AI Darwix AI is a GenAI-powered revenue intelligence platform enabling large enterprise sales, credit, and retail teams to convert better, faster, and smarter. Our product suite includes: Transform+ : Real-time AI nudging for voice, chat, and field sales teams Sherpa.ai : A contextual GenAI assistant for sales coaching and enablement Store Intel : A vision AI tool that converts CCTV into actionable in-store analytics We’re trusted by major enterprise clients like IndiaMart, Wakefit, Emaar, Sobha Realty, GIVA , and Bank Dofar , and are scaling rapidly across India, the Middle East, and Southeast Asia. Backed by top VCs and operators, Darwix is redefining how frontline teams win in the age of AI. Role Overview As a Senior Manager – Enterprise Sales , you will lead complex sales cycles, own high-value relationships, and close strategic SaaS deals across priority verticals such as BFSI, real estate, retail, and technology. You’ll work closely with Founders, Product, and Customer Success teams to identify opportunities, design compelling solutions, and take pilots into large-scale rollouts. This role demands strong commercial acumen, deep client empathy, and the ability to manage multiple large accounts through relationship depth and outcome focus. Key Responsibilities Strategic Enterprise Sales Own end-to-end sales cycles for mid-to-large enterprise deals (₹25L–₹2Cr ACV) Run prospecting, discovery, demo, pilot design, negotiation, and closure across C-suite stakeholders Manage active funnel and outbound targets across sectors like BFSI, real estate, telecom, and enterprise SaaS CXO Relationship Management Build long-term, trust-based relationships with decision-makers and influencers Map buying centers across product, digital, sales ops, training, and IT to drive alignment Represent Darwix AI in senior executive conversations, RFPs, and strategic reviews GTM Leadership & Market Expansion Identify new verticals or regional opportunities aligned to Darwix AI’s value proposition Work with founders to build territory/sector strategies and outbound campaigns Provide structured feedback to Growth and Product teams on messaging, product-market fit, and objections Proposal Design & Commercial Structuring Create deal-specific proposals with pricing, on-boarding, and implementation frameworks Lead internal coordination across finance, product, and legal to accelerate sales motion Drive customized ROI models and commercial narratives for clients with complex procurement cycles Post-Sale Partnership Align with Customer Success on on-boarding plans, success metrics, and retention goals Stay involved post-sale for account mining, expansion, and reference generation Support CS team during QBRs, renewal discussions, and cross-sell planning Required Experience 7–12 years of experience in enterprise sales, preferably in B2B SaaS, AI/ML, or analytics-driven solutions Proven track record of closing large-ticket SaaS deals (₹25L+ per deal) across multiple sectors Strong executive presence and communication skills for CXO and VP-level conversations Understanding of AI/ML technologies, CRM workflows, sales enablement, or conversational intelligence Ability to build consultative narratives, strategic proposals, and pilot success plans Proficiency in CRM tools like HubSpot, Salesforce, or Zoho and a rigorous approach to pipeline management Preferred Background Experience working in fast-paced startups or early-stage tech ventures Familiarity with procurement, InfoSec, legal, and IT approval processes in enterprise orgs Domain knowledge of BFSI, large retail, real estate, or inside sales operations International exposure or experience selling into UAE, GCC, or SEA markets is a plus Success Metrics ₹3–5 Cr+ in new ARR closed in first 12 months ≥ 60% conversion rate from pilot to full deployment 100% CRM hygiene and forecast accuracy At least 3 logos won in Tier-1 enterprise accounts across India/MENA Strategic account penetration across 2+ departments per logo Compensation & Benefits Market-competitive fixed pay + quarterly performance-based incentives ESOP eligibility based on performance and tenure Health insurance, wellness stipend, and executive training support High-performance laptop + CRM tools (HubSpot, Apollo, Notion, Loom) Access to GTM frameworks, sales enablement support, and founder-led mentoring Strategic exposure to board and investor growth initiatives Career Path 0–12 Months : Lead key accounts and close new logos across sectors 12–24 Months : Transition to Enterprise Sales Lead or Regional Sales Head 24–36 Months : Move into VP – Revenue , Director – Strategic Sales , or Founders’ GTM Office You will scale as a revenue leader as the company expands across India and international markets. How to Apply Send the following to careers@darwix.ai : Resume (PDF) A 200-word response to: “Describe how you would pitch Darwix AI to the Chief Sales Officer of a large retail or lending firm.” Subject Line : “Application – Senior Manager – Enterprise Sales – [Your Name]” This is the right role for a high-performing, deal-obsessed, enterprise seller ready to take ownership of major accounts, drive GTM excellence, and lead AI adoption across some of the most respected brands in the region. Show more Show less

Business Operations Specialist – Strategy, Execution & Process Enablement Location : Sector 63, Gurgaon – 100% In-Office Working Days : Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM – 8:00 PM Experience : 0–4 years in operations, strategy, consulting, or cross-functional roles in high-growth companies Function : Business Operations | Process Excellence | Cross-Functional Program Management Apply : careers@darwix.ai Subject Line : Application – Business Operations Specialist – [Your Name] About Darwix AI Darwix AI is a GenAI-powered platform transforming how large sales, credit, and field teams operate across India, MENA, and Southeast Asia. Our flagship solutions— Transform+ , Sherpa.ai , and Store Intel —deliver real-time coaching, multilingual call intelligence, retail analytics, and enablement solutions to revenue teams across BFSI, retail, real estate, and manufacturing. With marquee clients including IndiaMart , Wakefit , Emaar , GIVA , Sobha Realty , and Bank Dofar , and backed by leading investors, Darwix AI is scaling rapidly. As we build across products, clients, and geographies, Business Operations plays a pivotal role in keeping execution sharp, data tight, and delivery on track. Role Overview We are looking for a Business Operations Specialist who can drive cross-functional clarity, create scalable processes, and help execute strategic initiatives across sales, product, delivery, and customer success. This role is perfect for someone who enjoys structured problem-solving, process building, metric tracking, and acting as the glue between teams. You’ll work directly with Founders, Sales, Engineering, and GTM teams to ensure smooth functioning of internal operations and external deployments. Key ResponsibilitiesStrategic Project Execution Own end-to-end execution of internal strategic initiatives across product, ops, GTM, and delivery Build and maintain OKR trackers, weekly dashboards, and reporting cadences Coordinate with internal and external stakeholders to ensure on-time project completion Monitor progress, flag blockers, and ensure action items are closed with accountability Process Design & Optimization Identify recurring execution gaps and design lean processes to fix them Document SOPs, playbooks, and workflows across teams (e.g., onboarding, handoffs, implementation) Standardize daily/weekly operating rhythms across GTM, success, and ops functions Build process automation using Notion, Google Sheets, Zapier, or low-code tools Internal Tools & Reporting Set up dashboards and reports for team performance, client onboarding, feedback loops, and more Support weekly business reviews with data, slides, and insights Maintain cross-functional visibility into live deals, pilots, delivery progress, and blockers Support adoption and hygiene of internal tools (e.g., HubSpot, ClickUp, Notion) Founder & Leadership Support Shadow the founding team on select priorities (e.g., key client tracking, hiring, operations scale-up) Support investor/board updates with execution summaries, project trackers, and impact reports Help coordinate internal offsites, hiring sprints, weekly reviews, and inter-departmental initiatives Required Skills & Experience 0–4 years of experience in business operations, program management, consulting, or high-growth startups Strong problem-solving skills, with ability to break down complex workflows into structured systems Proficient in Google Sheets, Notion, and basic dashboarding/reporting (Data Studio, Power BI, or similar) Excellent verbal and written communication; strong documentation hygiene High accountability, speed of execution, and bias for action Experience working with or coordinating across Sales, Product, Customer Success, or Delivery teams Prior exposure to working with CRM, project management, or process automation tools Preferred Qualifications Prior startup experience in a strategy, ops, or chief of staff-style role Comfort with product-led, B2B SaaS workflows or client-facing implementations Working knowledge of tools like HubSpot, ClickUp, Notion, Zapier, Retool, or similar platforms Exposure to dashboarding or metric-tracking workflows for sales or operations Interest in scaling systems and operations in a fast-moving tech company What Success Looks Like Process bottlenecks eliminated and replaced with simple SOPs All weekly cross-functional reviews, trackers, and status updates automated and consistent Execution clarity across departments increased, and friction reduced Founders and team leaders equipped with accurate dashboards and insights Time-to-deploy, implementation errors, and internal coordination gaps significantly reduced What You’ll Gain Competitive compensation ESOP eligibility after demonstrated performance High-visibility role working directly with founders and leadership Accelerated learning in operations, business design, and internal systems Exposure to every aspect of a high-growth GenAI SaaS company—from deal desk to delivery Fast-track career growth into Chief of Staff, Ops Lead, or cross-functional leadership roles Career Growth Path 0–6 Months : Own ops hygiene and cross-functional cadences across core teams 6–12 Months : Transition into Ops Lead or Chief of Staff (Product/GTM) 12–24 Months : Scale into Business Operations Manager or Director of Strategy & Ops How to Apply Email your CV to careers@darwix.ai with the subject line: Application – Business Operations Specialist – [Your Name] Optional: Include a short note describing a process or dashboard you designed that improved internal clarity or execution. If you’re looking to be the engine behind precision, clarity, and scale at one of India’s most exciting GenAI startups, this is your opportunity. Show more Show less

Job Title: Product Analyst Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience: 1–3 years About Darwix AI Darwix AI is at the forefront of transforming how revenue teams across the globe operate. With our Gen-AI-powered product suite, we are redefining conversational intelligence, real-time sales enablement, and omnichannel sales optimization for enterprises in India, MENA, and the US. Built by a team of IIT, IIM, and BITS alumni and backed by top-tier VCs and industry leaders, Darwix AI’s mission is clear: supercharge customer conversations and drive revenue growth using AI-first platforms . We believe in innovation, execution speed, and building from India for the world. If you want to work at the intersection of GenAI, revenue intelligence, and enterprise SaaS — Darwix AI is where you belong. Role Overview As a Product Analyst at Darwix AI, you will play a critical role in shaping the future of our AI-powered solutions. You will bridge product, engineering, sales, and customer success teams by driving data-backed decisions , analyzing user behavior , monitoring product performance , and uncovering insights that directly inform product evolution. This is a high-ownership role where you will be deeply embedded into the product lifecycle — from ideation, and user research, to post-launch analytics and iteration. If you love solving real-world problems, extracting actionable insights from complex datasets, and contributing to building best-in-class AI SaaS products, this is your opportunity to create impact at scale. Key Responsibilities🔹 Product Data Analysis and Insights Analyze product usage data, user journeys, and customer feedback to identify product gaps, user pain points, and optimization opportunities. Monitor daily, weekly, and monthly KPIs, generate actionable reports, and recommend data-driven strategies to improve adoption, engagement, and retention. Conduct root cause analysis (RCA) for any performance drops or user friction areas. Work closely with AI/Engineering teams to ensure data tagging, event tracking, and telemetry systems are correctly implemented. 🔹 Requirement Gathering and Documentation Collaborate with Product Managers and Customer Success teams to translate customer requirements and feedback into detailed Product Requirement Documents (PRDs). Write clear, structured user stories, acceptance criteria, and workflows for engineering teams to execute. Ensure that business needs are accurately converted into product specifications. 🔹 Dashboarding and Reporting Build and maintain real-time dashboards using tools like Google Data Studio, PowerBI, Tableau, or internal analytics platforms. Visualize data intuitively for internal stakeholders (sales, leadership, customer success). Create detailed reports for leadership teams on product performance, client adoption metrics, and feature-specific KPIs. 🔹 Market Research and Competitive Intelligence Conduct primary and secondary research on industry trends, competitor products, emerging technologies, and best practices. Prepare comparative analysis reports highlighting opportunities for Darwix AI to differentiate. Identify potential feature gaps or enhancement ideas based on market trends and client feedback. 🔹 User Experience Optimization Conduct heuristic evaluations, user journey mapping, and usability studies to understand user behavior across touchpoints. Partner with UI/UX Designers to iterate on flows, wireframes, and product experiences. Propose feature enhancements and UI improvements backed by research and user insights. 🔹 Product Strategy Support Assist Product Managers in roadmap planning with data insights, feature prioritization frameworks (RICE, MoSCoW, etc.), and stakeholder inputs. Own small product features or initiatives independently and drive them from ideation to deployment. Participate actively in sprint planning, backlog grooming, and product reviews. 🔹 Implementation Support Work closely with engineering and QA teams during feature development. Conduct UAT (User Acceptance Testing) for new features and validate builds before production deployment. Track and report on the success of feature rollouts through adoption metrics and client feedback. Technical and Functional SkillsMust-Have: Strong proficiency in SQL for data querying and analysis. Comfort with Excel, Google Sheets (advanced functions like VLOOKUP, Pivot Tables, Macros, etc.). Experience working with BI tools like Google Data Studio, Power BI, or Tableau. Hands-on experience working with product analytics tools such as Mixpanel, Amplitude, Hotjar, or similar. Solid understanding of product metrics — DAU/WAU/MAU, Churn, Retention, Feature adoption, Activation Rates, etc. Ability to write structured, detailed documentation (PRDs, BRDs, User Stories). Experience in customer journey mapping and funnel analysis. Strong logical thinking, critical analysis, and problem-solving skills. Nice-to-Have: Exposure to SaaS/Enterprise product ecosystems. Familiarity with Agile/Scrum processes. Understanding of REST APIs and how data moves in SaaS systems. Experience working with CRM systems (HubSpot, Salesforce) for cross-functional collaboration. Prior experience in startups or fast-paced tech environments. Qualifications Bachelor’s degree in Engineering, Computer Science, Business Analytics, Statistics, or related fields. 1–3 years of experience in a Product Analyst, Business Analyst, or Data Analyst role. Prior experience in SaaS, AI, B2B platforms, or product-led tech companies preferred. Certifications in Data Analytics, Product Management, or Agile Methodologies are a plus. Personal Attributes Highly detail-oriented and organized in approach. Passionate about technology, AI, and building exceptional product experiences. Strong communication and presentation skills — ability to simplify complex data for business teams. Self-starter who thrives in high-velocity environments. Strong ownership mindset and a bias for action. Ability to work collaboratively across diverse cross-functional teams. Curious, coachable, and continuously looking to improve processes and products. What You’ll Get at Darwix AI Ownership & Impact : Play a pivotal role in shaping Darwix AI's GenAI platform’s evolution. High-Growth Environment : Work alongside some of the smartest minds in AI, product, and tech. Learning Opportunities : Access to mentorship, leadership exposure, and accelerated career growth paths. Culture : We prioritize innovation, collaboration, trust, and execution excellence over hierarchy. Compensation : Competitive fixed salary + Performance-linked bonus + Stock options (for high-performers). Vision : Build the future of AI-led revenue operations and create massive global impact. About the Product You’ll Work On Sherpa AI : Real-time agent assist, multilingual transcription, intelligent sales nudges. Transform+ : GenAI-powered sales conversation analytics for inside sales, retail, and field sales teams. Edge Compute for Sales : Real-time AI solutions operating at edge locations (offline-first, multilingual-first). Upcoming Modules : Voicebot Integration, Indic LLMs for Revenue Teams, AI Forecasting & Closure Prediction Systems. Application Process Submit your updated resume and portfolio (if applicable). Screening call with People Team. Analytical and Problem-Solving Assessment (may include SQL case, PRD drafting, etc.) Final round with Product leadership. Offer! How to Apply 📩 careers@darwix.ai Please include: Resume Any sample dashboard/report you've built (optional but preferred) A short paragraph on: "One product metric you think companies undervalue, and why?" Join the GenAI Revolution – Build with Darwix AI! #ProductAnalyst #ProductAnalytics #DataDriven #SQL #ProductManagement #DarwixAI #TechCareers #GurgaonHiring Show more Show less

Job Title: Associate Product Manager (APM) Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience: 0–2 Years About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups focused on transforming how enterprise sales teams operate across India, MENA, and the US. Our GenAI-powered conversational intelligence and real-time agent assist suite helps sales teams close better, faster, and smarter — turning every customer conversation into a revenue opportunity. Built by a team of ex-IIT, IIM, BITS, and global AI experts, and backed by top-tier VCs and industry leaders, Darwix AI is solving next-generation challenges in multilingual AI, live agent assistance, and autonomous revenue enablement. If you are passionate about building innovative products from scratch and want to be at the heart of India's next great AI story, this is the opportunity for you. Role Overview As an Associate Product Manager (APM) at Darwix AI, you will work closely with Product Managers, Engineering, Sales, and Customer Success teams to build, launch, and scale products that drive impact across global sales teams. You will play a critical role in product discovery, defining user needs, documenting requirements, and ensuring smooth execution across cross-functional teams. You will be expected to own mini-modules or feature sets independently while learning the ropes of high-velocity product building at one of India’s fastest-scaling AI companies. This is a high-impact, high-growth opportunity for those looking to become future product leaders . Key Responsibilities 🔹 Product Discovery and Research Conduct primary and secondary user research to understand customer pain points, workflows, and expectations. Map user journeys, identify friction points, and propose potential product enhancements. Stay updated with global trends in GenAI, SaaS, sales enablement, and revenue intelligence technologies. 🔹 Requirement Gathering and Documentation Translate customer requirements and business objectives into well-defined Product Requirement Documents (PRDs). Write clear user stories, define acceptance criteria, and develop wireframes or mock-ups where needed. Maintain and update product documentation, feature backlogs, and sprint plans. 🔹 Product Execution Support Collaborate with engineering, QA, and design teams to ensure seamless delivery of product features. Participate in daily stand-ups, sprint reviews, and product retrospectives. Conduct thorough UAT (User Acceptance Testing) before features are pushed live. 🔹 Launch and Adoption Support go-to-market activities for product launches, including preparing sales collaterals, demo scripts, FAQs, and training materials. Monitor product adoption metrics post-launch and drive initiatives to improve usage and feature engagement. Work closely with the customer success team to gather client feedback and refine the product. 🔹 Data-Driven Decision-Making Analyze product usage data to uncover insights, trends, and areas of improvement. Build dashboards, monitor KPIs like feature adoption, retention rates, engagement scores, and suggest actionable improvements. 🔹 Competitive Analysis Conduct regular market scans to benchmark Darwix AI products against industry competitors. Provide intelligence reports highlighting market trends, user needs, and opportunities for differentiation. 🔹 Internal Stakeholder Management Act as a communication bridge between business, technology, sales, and customer success teams. Ensure alignment on product goals, timelines, and deliverables across stakeholders. Required Skills and Qualifications Must-Have: Bachelor’s degree in Engineering, Computer Science, Business Administration, or related fields from Tier 1/Tier 2 colleges. 0–2 years of experience in Product Management, Business Analysis, Product Operations, or a related function. Strong understanding of SaaS products, Agile methodologies, and user-centered design principles. Excellent communication and documentation skills. Proficiency in tools like Jira, Trello, Confluence, Google Sheets, or Airtable. Ability to break down complex problems into structured solutions. High ownership mindset with a bias toward action. Good to Have: Certifications in Product Management (e.g., Pragmatic, Product School, Reforge). Exposure to B2B SaaS/AI products. Understanding of APIs, data integrations, and basic technical concepts. Basic proficiency with SQL or data visualization tools (Tableau, Power BI, Metabase). Traits We Are Looking For Intellectual curiosity and eagerness to learn. Strong analytical thinking and attention to detail. Ability to thrive in high-ambiguity, high-growth environments. High resilience, adaptability, and resourcefulness. Passion for building products that users love. A genuine interest in technology, SaaS, and AI-driven products. What You’ll Build You will work on high-impact projects like : Multilingual real-time transcription engines. Intelligent conversation analytics dashboards. Autonomous agent coaching systems. Predictive AI models for revenue closure forecasting. Contextual nudges for frontline sales optimization. You will get full-stack exposure to product ideation, build, GTM (go-to-market), and post-launch optimization — not just requirements gathering. What We Offer A front-row seat to building the future of AI and sales enablement globally. Direct mentorship from seasoned founders and product leadership. Rapid career growth into Product Manager and Senior Product Manager tracks. Competitive compensation + performance bonuses. Stock options for high performers based on contribution and impact. Access to cutting-edge tools, research, and leadership programs. A collaborative, high-trust, no-politics environment focused on execution. Our Products You Will Work On Sherpa AI: Real-time GenAI assistant for sales conversations. Transform+: Deep AI-powered conversation analytics and win-loss analysis. Edge AI Systems: Offline-first, multilingual conversational platforms for field sales. Voice Intelligence Layer: Real-time sales nudges, coaching, and forecasting through speech and text analysis. Career Growth Path Associate Product Manager → Product Manager → Senior Product Manager → Director of Product → VP Product At Darwix AI, high performance is rewarded with accelerated responsibility, leadership opportunities, and exposure to global markets. Application Process Resume screening by the People Team. Product Thinking Assessment (Case Study). 1st Round: Discussion with Product Manager/Director. 2nd Round: Discussion with Founders. Offer! How to Apply 📩 Send your application to careers@darwix.ai Subject Line: Application for Associate Product Manager – [Your Name] Please attach: Your updated resume. (Optional) Any portfolio links, blogs, product thinking samples, or dashboards you have built. A brief note (100 words) on "One SaaS product you love and why." Ready to Build, Scale, and Win at Darwix AI? If you are ambitious, execution-driven, and want to be part of a global AI story built from India, we would love to hear from you. #ProductManagement #AssociateProductManager #ProductJobs #SaaSCareers #AICareers #GenAI #DarwixAI #ProductCareersIndia #GurgaonHiring Show more Show less

Job Title: Founder’s Office – Recruitment and Operations Company: Darwix AI Location: Gurgaon (On-site) Type: Internship (Full-Time) Duration: 3–6 months Stipend: ₹15,000–₹25,000/month Start Date: Immediate 🧠 About Darwix AI Darwix AI is one of India’s fastest-growing AI startups, pioneering the future of revenue enablement through a GenAI-powered product suite. We power real-time sales intelligence, AI-driven nudges, and deep analytics to help sales teams across India, MENA, and the US close better and faster. Backed by top-tier VCs and industry leaders, we’re building an ambitious, global-first company — from India to the world. 🎯 Role Overview As a Founder’s Office – Recruitment and Operations , you will work directly with the leadership team on some of the company’s most important projects. From driving top-of-funnel hiring to managing behind-the-scenes execution for high-stakes ops, you’ll play a vital support role in helping Darwix scale rapidly. This internship is perfect for someone from a Tier 1 college or with a strong operational mindset, looking for a high-impact learning experience in a startup environment. 🔧 Key Responsibilities🚀 Recruitment Support Assist in drafting JDs, sourcing candidates via LinkedIn and other platforms Maintain hiring dashboards and update candidate pipelines Coordinate interviews, manage follow-ups, and own candidate communication Research and connect with consultants, hiring partners, and relevant networks ⚙️ Operational Execution Assist with documentation, onboarding, and internal HR processes Work on hiring trackers, contracts, payroll coordination, and new hire kits Prepare reports for founders on hiring performance and operational metrics Liaise with internal teams (Finance, Admin, Legal) to ensure smooth execution 🧠 Special Projects & Founder Support Be a key part of high-priority founder-led initiatives and confidential projects Help schedule key meetings, manage follow-ups, and track project milestones Take ownership of key processes and build internal workflows where needed 📌 Who You Are A student or recent graduate from a Tier 1 institution (IIT, BITS, IIM, SRCC, Ashoka, etc.) Highly organized, with strong verbal and written communication skills Proficient with Google Docs, Sheets, LinkedIn, and digital tools Comfortable managing multiple tasks and executing independently Curious, proactive, and always ready to take initiative Excited about startups, execution, and building something from scratch 🎁 What You’ll Get Direct mentorship from the founders and top leadership End-to-end exposure to hiring, operations, and startup execution A fast-track understanding of how a high-growth GenAI startup is built A front-row seat at one of the most ambitious AI companies coming out of India ⚠️ Note: It’s hands-on, fast-paced, and requires serious initiative. If you thrive in chaos, love structure, and want to be close to action, this is your call. 📩 How to Apply Send your CV and a short note on why this internship excites you to people@darwix.ai Subject Line: Founder’s Office – [Your Name] Darwix AI | GenAI for Revenue Teams | Built from India for the World Show more Show less