2823 Multilingual Jobs - Page 13

Role: City Operations SpecialistAre you a proactive, hands-on problem-solver passionate about urban mobility? Glide, a leading scooter rental company, is seeking a high-energy City Operations Specialist to be at the heart of our operations in Bengaluru. If you thrive in a dynamic environment and love keeping things moving, we want you! What You'll Be Doing:You'll be crucial to our daily success, ensuring our scooters are ready and riders have a smooth experience. Fleet Management: Perform checks, ensure charging, cleanliness, and prime condition of our scooters. Tackle minor issues and report maintenance needs. Rider Support: Be the primary contact for riders, assisting with app usage, troubleshooting, and ensuring satisfaction. Operational Execution: Strategically relocate scooters, manage availability, and optimize fleet positioning across Bengaluru. Problem Solving: Quickly identify and resolve operational challenges, communicating effectively with the team. We're Looking For Someone Who Is:Multilingual: Fluent in Kannada, Hindi, and English – essential for rider and team communication. Action-Oriented: Proactive, hands-on, and thrives in field operations. Two-Wheeler Savvy: Experienced with scooters/bikes, holding a valid two-wheeler driving license. Comfortable with basic vehicle checks. Tech-Adept: Comfortable using smartphone apps for daily tasks and reporting. Flexible: Able to work varied shifts, including weekends and holidays. Physically Capable: Able to lift and move scooters as required. Why Join Glide?Be part of a dynamic, fast-paced team transforming urban transport in Bengaluru. This is a hands-on role with real impact, offering you the chance to contribute directly to our success. Ready to accelerate your career and help Glide move Bengaluru? Apply now!

Job Summary We are seeking a highly organized and detail-oriented Content Migration Specialist to support the migration of web content from our current CMS to our next-generation platform on Sitecore XM Cloud . This role will be instrumental in ensuring a smooth transition by accurately migrating, restructuring, and optimizing content while maintaining quality and consistency. The ideal candidate will have experience with content management systems, an eye for detail, and a passion for improving digital experiences. Sitecore XM Cloud training will be provided to support your development in this role. Key Responsibilities Content Migration: Transfer and restructure content from the current CMS to the new platform, ensuring accuracy, consistency, and quality. Content Mapping: Collaborate with marketing and web development teams to map content from the old CMS structure to the new platform’s taxonomy and design. User Acceptance Testing (UAT): Participate in UAT for the new website, identifying and reporting issues while ensuring content displays correctly and meets project requirements. Content Review & Quality Assurance: Conduct thorough reviews to ensure proper formatting, functionality, and adherence to style guides, SEO best practices, and accessibility standards. Metadata & Tagging: Apply appropriate metadata, tagging, and categorization to ensure findability and improve search performance. Data Cleansing: Identify and address outdated, duplicated, or irrelevant content during the migration process. Collaboration: Work closely with content owners, developers, and project managers to ensure a seamless transition. Documentation: Create and maintain documentation for the content migration process, standards, and workflows. Qualifications Proven experience with content migration projects, ideally for enterprise-level websites. Familiarity with CMS platforms (Sitecore experience is a plus). Strong understanding of web content best practices, including SEO, accessibility (WCAG), and responsive design. Proficiency with HTML and basic CSS for content formatting and troubleshooting. Excellent organizational skills and a keen eye for detail. Ability to work independently and meet deadlines in a fast-paced environment. Strong communication and collaboration skills. Preferred Qualifications Experience in large-scale content migrations involving multilingual websites. Experience with Adobe Photoshop (a plus, but not required). Experience with Google Analytics, Google Tag Manager, and Google Search Console (a plus, but not required). Understanding of digital marketing strategies and content governance. Why Join Us? Receive training in Sitecore XM Cloud and gain hands-on experience in a cutting-edge CMS platform. Be part of a large-scale digital transformation initiative that will redefine our web presence. Collaborate with a dynamic team of marketing, IT, and business professionals. Opportunity to make a significant impact on our next-generation digital platform. AMETEK, Inc. is a leading global provider of industrial technology solutions serving a diverse set of attractive niche markets with annual sales over $7.0 billion. AMETEK is committed to making a safer, sustainable, and more productive world a reality. We use differentiated technology solutions to solve our customers’ most complex challenges. We employ 21,000 colleagues, in 35 countries, that are grounded by our core values: Ethics and Integrity, Respect for the Individual, Inclusion, Teamwork, and Social Responsibility. AMETEK (NYSE:AME) is a component of the S&P 500. Visit www.ametek.com for more information.

Principal Software Engineer – AI Location : Gurgaon (In-Office) Working Days : Monday to Saturday (2nd and 4th Saturdays are working) Working Hours : 10:30 AM – 8:00 PM Experience : 6–10 years of hands-on development in AI/ML systems, with deep experience in shipping production-grade AI products Apply at : careers@darwix.ai Subject Line : Application – Principal Software Engineer – AI – [Your Name] About Darwix AI Darwix AI is India’s fastest-growing GenAI SaaS platform transforming how large sales and CX teams operate across India, MENA, and Southeast Asia. We build deeply integrated conversational intelligence and agent assist tools that enable: Multilingual speech-to-text pipelines Real-time agent coaching AI-powered sales scoring Predictive analytics and nudges CRM and telephony integrations Our clients include leading enterprises like IndiaMart, Bank Dofar, Wakefit, GIVA, and Sobha , and our product is deeply embedded in the daily workflows of field agents, telecallers, and enterprise sales teams. We are backed by top VCs and built by alumni from IIT, IIM, and BITS with deep expertise in real-time AI, enterprise SaaS, and automation. Role Overview We are hiring a Principal Software Engineer – AI to lead the development of advanced AI features in our conversational intelligence suite. This is a high-ownership role that combines software engineering, system design, and AI/ML application delivery. You will work across our GenAI stack—including Whisper, LangChain, LLMs, audio streaming, transcript processing, NLP pipelines, and scoring models—to build robust, scalable, and low-latency AI modules that power real-time user experiences. This is not a research role. You will be building, deploying, and optimizing production-grade AI features used daily by thousands of sales agents and managers across industries. Key Responsibilities 1. AI System Architecture & Development Design, build, and optimize core AI modules such as: Multilingual speech-to-text (Whisper, Deepgram, Google STT) Prompt-based LLM workflows (OpenAI, open-source LLMs) Transcript post-processing: punctuation, speaker diarization, timestamping Real-time trigger logic for call nudges and scoring Build resilient pipelines using Python, FastAPI, Redis, Kafka , and vector databases 2. Production-Grade Deployment Implement GPU/CPU-optimized inference services for latency-sensitive workflows Use caching, batching, asynchronous processing, and message queues to scale real-time use cases Monitor system health, fallback workflows, and logging for ML APIs in live environments 3. ML Workflow Engineering Work with Head of AI to fine-tune, benchmark, and deploy custom models for: Call scoring (tone, compliance, product pitch) Intent recognition and sentiment classification Text summarization and cue generation Build modular services to plug models into end-to-end workflows 4. Integrations with Product Modules Collaborate with frontend, dashboard, and platform teams to serve AI output to users Ensure transcript mapping, trigger visualization, and scoring feedback appear in real-time in the UI Build APIs and event triggers to interface AI systems with CRMs, telephony, WhatsApp, and analytics modules 5. Performance Tuning & Optimization Profile latency and throughput of AI modules under production loads Implement GPU-aware batching, model distillation, or quantization where required Define and track key performance metrics (latency, accuracy, dropout rates) 6. Tech Leadership Mentor junior engineers and review AI system architecture, code, and deployment pipelines Set engineering standards and documentation practices for AI workflows Contribute to planning, retrospectives, and roadmap prioritization What We’re Looking For Technical Skills 6–10 years of backend or AI-focused engineering experience in fast-paced product environments Strong Python fundamentals with experience in FastAPI, Flask , or similar frameworks Proficiency in PyTorch , Transformers , and OpenAI API/LangChain Deep understanding of speech/text pipelines, NLP, and real-time inference Experience deploying LLMs and AI models in production at scale Comfort with PostgreSQL, MongoDB, Redis, Kafka, S3 , and Docker/Kubernetes System Design Experience Ability to design and deploy distributed AI microservices Proven track record of latency optimization, throughput scaling, and high-availability setups Familiarity with GPU orchestration, containerization, CI/CD (GitHub Actions/Jenkins), and monitoring tools Bonus Skills Experience working with multilingual STT models and Indic languages Knowledge of Hugging Face, Weaviate, Pinecone, or vector search infrastructure Prior work on conversational AI, recommendation engines, or real-time coaching systems Exposure to sales/CX intelligence platforms or enterprise B2B SaaS Who You Are A pragmatic builder—you don’t chase perfection but deliver what scales A systems thinker—you see across data flows, bottlenecks, and trade-offs A hands-on leader—you mentor while still writing meaningful code A performance optimizer—you love shaving off latency and memory bottlenecks A product-focused technologist—you think about UX, edge cases, and real-world impact What You’ll Impact Every nudge shown to a sales agent during a live customer call Every transcript that powers a manager’s coaching decision Every scorecard that enables better hiring and training at scale Every dashboard that shows what drives revenue growth for CXOs This role puts you at the intersection of AI, revenue, and impact —what you build is used daily by teams closing millions in sales across India and the Middle East. How to Apply Send your resume to careers@darwix.ai Subject Line: Application – Principal Software Engineer – AI – [Your Name] (Optional): Include a brief note describing one AI system you've built for production—what problem it solved, what stack it used, and what challenges you overcame. If you're ready to lead the AI backbone of enterprise sales , build world-class systems, and drive real-time intelligence at scale— Darwix AI is where you belong.

Solutions Architect Location : Gurgaon (In-Office) Working Days : Monday to Saturday (2nd and 4th Saturdays are working) Working Hours : 10:30 AM – 8:00 PM Experience : 4–8 years in enterprise solution engineering, sales engineering, or product/solution consulting in SaaS/AI setups Apply at : careers@darwix.ai Subject Line : Application – Solutions Architect – [Your Name] About Darwix AI Darwix AI is a leading GenAI SaaS platform that powers real-time sales intelligence and automation for enterprise sales, CX, and field teams. Our solutions include multilingual speech-to-text, agent scoring, real-time nudges, deep CRM/LOS integration, and actionable sales analytics. We are used by some of the most respected brands including IndiaMart, Wakefit, GIVA, Sobha, Bank Dofar , and others across India, MENA, and Southeast Asia. Our stack spans AI/ML models (Whisper, LangChain, etc.), real-time voice pipelines, scalable analytics dashboards, and deep API integrations with CRM, telephony, WhatsApp, and email platforms. We’re backed by leading VCs and a powerhouse team from IIT, IIM, and BITS, and are building the next generation of revenue enablement solutions. Role Overview As a Solutions Architect , you will be the technical face of Darwix AI for enterprise clients—working across sales, product, and engineering teams to design, configure, and deploy tailored solutions. You will lead discovery sessions, scope technical integrations, create scalable solution blueprints, and ensure successful implementation of Darwix AI’s GenAI products for global clients. This is a hybrid role combining pre-sales engineering, solutioning, customer onboarding, and technical success —critical for accelerating deal closures and reducing time-to-value for enterprise accounts. Key Responsibilities 1. Pre-Sales Discovery & Technical Scoping Partner with the sales team in client discovery meetings to understand tech stack, business workflows, and integration requirements Own technical pre-sales conversations: feasibility checks, architecture overviews, security clarifications, and product mapping Build and present tailored solution architectures that align with client requirements, constraints, and objectives 2. Custom Solution Design Translate client needs into productized workflows—leveraging Darwix AI’s modular offerings across speech pipelines, real-time agent assist, scoring engines, and dashboarding Define data flows between client systems and Darwix modules including CRM, LOS, telephony, WhatsApp, cloud storage, and webhooks Create solution architecture diagrams, data schemas, and configuration matrices for internal handover and client alignment 3. Integration Support & Deployment Planning Work with DevOps, product, and client tech teams to facilitate secure integrations, sandbox setups, and production rollouts Own API mapping, data exchange format definitions, and token/auth key validation for client integrations Support post-deployment validation of call triggers, data sync, transcript accuracy, and event logging 4. Client Onboarding & Enablement Guide client onboarding journeys with defined timelines, configuration plans, and technical SLAs Build and deliver custom training documentation and configuration SOPs for client stakeholders Conduct train-the-trainer sessions for client IT/Admin teams 5. Cross-Functional Collaboration Provide technical feedback to product and engineering teams based on client use cases and edge scenarios Contribute to internal solutioning templates, repeatable playbooks, and system configuration guidelines Help build the Darwix solution library for sales, presales, and implementation teams 6. Security, Compliance & Documentation Support client infosec reviews, RFPs, and due diligence processes with architecture documentation and controls Ensure that solution designs adhere to data protection and regulatory requirements (including SOC2, GDPR, etc.) Key Capabilities & Requirements 4–8 years in solution engineering, sales engineering, product consulting, or technical implementation in SaaS, AI/ML, or analytics domains Deep understanding of SaaS architectures, REST APIs, webhooks, data pipelines, and real-time integrations Proficiency in cloud-based systems (AWS/GCP), data formats (JSON, CSV), and system design concepts Prior exposure to enterprise tools such as CRMs (Salesforce, Zoho), telephony platforms (Exotel, Knowlarity), communication APIs (Twilio, WhatsApp), and authentication flows (OAuth, SAML) Ability to create technical documentation, architecture diagrams (using tools like Lucidchart), and integration plans Excellent verbal and written communication—especially in client-facing presentations and documentation Strong project management, time estimation, and multi-tasking ability in high-growth environments Preferred Qualifications Experience in voice-based solutions (Speech-to-Text, Call Analytics, Real-Time Agent Assist) Experience working with BFSI, real estate, or healthcare enterprise clients Understanding of data privacy laws and enterprise security requirements Bachelor’s degree in Engineering, Computer Science, or related field (Tier 1 institute preferred) Experience in a high-growth B2B SaaS environment or client-facing consulting firm You’ll Thrive in This Role If You Enjoy interfacing directly with customers to solve real-world challenges using AI and automation Are as comfortable talking to CTOs as you are working with internal engineers and product managers Love taking ownership of solution design and delivery—across discovery, documentation, and deployment Thrive in a fast-paced startup setting where you work cross-functionally and think on your feet Believe that great implementation is as important as great product design How to Apply Send your CV to careers@darwix.ai Subject Line: Application – Solutions Architect – [Your Name] (Optional): In your email, briefly outline a technical project or implementation you’ve led for an enterprise client—what was the challenge, the solution, and the outcome. If you’re ready to be the backbone of AI-powered enterprise solutioning, and love the balance of tech, communication, and ownership— this is your role.

AI Engineer – Voice, NLP, and GenAI Systems Location : Sector 63, Gurgaon – 100% In-Office Working Days : Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM to 8:00 PM Experience : 2–6 years in AI/ML, NLP, or applied machine learning engineering Apply at : careers@darwix.ai Subject Line : Application – AI Engineer – [Your Name] About Darwix AI Darwix AI is India’s fastest-growing GenAI SaaS platform transforming how enterprise sales, field, and support teams engage with customers. Our suite— Transform+ , Sherpa.ai , and Store Intel —powers real-time multilingual voice analytics, AI nudges, coaching systems, and computer vision analytics for major enterprises across India, MENA, and Southeast Asia. We work with some of the largest names such as Aditya Birla Capital, Sobha, GIVA, and Bank Dofar. Our systems process thousands of daily conversations, live call transcripts, and omnichannel data to deliver actionable revenue insights and in-the-moment enablement. Role Overview As an AI Engineer , you will play a key role in designing, developing, and scaling AI and NLP systems that power our core products. You will work at the intersection of voice AI, natural language processing (NLP), large language models (LLMs), and speech-to-text pipelines. You will collaborate with product, backend, and frontend teams to integrate ML models into production workflows, optimize inference pipelines, and improve the accuracy and performance of real-time analytics used by enterprise sales and field teams. Key ResponsibilitiesAI & NLP System Development Design, train, fine-tune, and deploy NLP models for conversation analysis, scoring, sentiment detection, and call summarization. Work on integrating and customizing speech-to-text (STT) pipelines (e.g., WhisperX, Deepgram) for multilingual audio data. Develop and maintain classification, extraction, and sequence-to-sequence models to handle real-world sales and service conversations. LLM & Prompt Engineering Experiment with and integrate large language models (OpenAI, Cohere, open-source LLMs) for live coaching and knowledge retrieval use cases. Optimize prompts and design retrieval-augmented generation (RAG) workflows to support real-time use in product modules. Develop internal tools for model evaluation and prompt performance tracking. Productionization & Integration Build robust model APIs and microservices in collaboration with backend engineers (primarily Python, FastAPI). Optimize inference time and resource utilization for real-time and batch processing needs. Implement monitoring and logging for production ML systems to track drift and failure cases. Data & Evaluation Work on audio-text alignment datasets, conversation logs, and labeled scoring data to improve model performance. Build evaluation pipelines and create automated testing scripts for accuracy and consistency checks. Define and track key performance metrics such as WER (word error rate), intent accuracy, and scoring consistency. Collaboration & Research Work closely with product managers to translate business problems into model design requirements. Explore and propose new approaches leveraging the latest research in voice, NLP, and generative AI. Document research experiments, architecture decisions, and feature impact clearly for internal stakeholders. Required Skills & Qualifications 2–6 years of experience in AI/ML engineering, preferably with real-world NLP or voice AI applications. Strong programming skills in Python , including libraries like PyTorch, TensorFlow, Hugging Face Transformers. Experience with speech processing , audio feature extraction, or STT pipelines. Solid understanding of NLP tasks: tokenization, embedding, NER, summarization, intent detection, sentiment analysis. Familiarity with deploying models as APIs and integrating them with production backend systems. Good understanding of data pipelines, preprocessing techniques, and scalable model architectures. Preferred Qualifications Prior experience with multilingual NLP systems or models tuned for Indian languages. Exposure to RAG pipelines , embeddings search (e.g., FAISS, Pinecone), and vector databases. Experience working with voice analytics, diarization, or conversational scoring frameworks. Understanding of DevOps basics for ML (MLflow, Docker, GitHub Actions for model deployment). Experience in SaaS product environments serving enterprise clients. Success in This Role Means Accurate, robust, and scalable AI models powering production workflows with minimal manual intervention. Inference pipelines optimized for enterprise-scale deployments with high availability. New features and improvements delivered quickly to drive direct business impact. AI-driven insights and automations that enhance user experience and boost revenue outcomes for clients. You Will Excel in This Role If You Love building AI systems that create measurable value in the real world, not just in research labs. Enjoy solving messy, real-world data problems and working on multilingual and noisy data. Are passionate about voice and NLP, and constantly follow advancements in GenAI. Thrive in a fast-paced, high-ownership environment where ideas quickly become live features. How to Apply Email your updated CV to careers@darwix.ai Subject Line: Application – AI Engineer – [Your Name] (Optional): Share links to your GitHub, open-source contributions, or a short note about a model or system you designed and deployed in production. This is an opportunity to build foundational AI systems at one of India’s fastest-scaling GenAI startups and to impact how large enterprises engage millions of customers every day. If you are ready to transform how AI meets revenue teams—Darwix AI wants to hear from you.

Vice President – Engineering Location : Gurgaon (In-Office) Working Days : Monday to Saturday (2nd and 4th Saturdays are working) Working Hours : 10:30 AM – 8:00 PM Experience : 10–15 years in full-stack engineering, with at least 4+ years in a senior leadership role in SaaS/AI platforms Apply at : careers@darwix.ai Subject Line : Application – VP Engineering – [Your Name] About Darwix AI Darwix AI is one of India’s fastest-growing GenAI SaaS platforms, transforming enterprise revenue teams with real-time conversational intelligence and AI-powered sales enablement tools. Our core product suite powers: Multilingual speech-to-text Real-time agent coaching & nudges Automated scoring of sales calls CRM/LOS integrations Analytics dashboards and more Our clients include leading brands in BFSI, real estate, retail, and healthcare , such as IndiaMart, Wakefit, Bank Dofar, Sobha, and GIVA . We operate across India, MENA, and Southeast Asia, and are backed by marquee investors, industry CXOs, and IIT/IIM/BITS alumni. As we scale to become the backbone of revenue intelligence globally, engineering excellence is the cornerstone of our journey. Role Overview We are looking for a visionary and hands-on Vice President – Engineering who will take end-to-end ownership of our technology stack, engineering roadmap, and team. You will be responsible for architecting scalable GenAI-first systems , driving high-velocity product shipping, ensuring enterprise-grade reliability, and building a high-performing engineering culture. This role requires strategic thinking, hands-on execution, deep experience with AI/ML or data-intensive platforms, and the ability to attract and retain top-tier engineering talent. You will work closely with the CEO, Head of AI/ML, Product, and Founder's Office to deliver robust, secure, and intelligent experiences across web and real-time systems. Key Responsibilities 1. Technology Leadership Define and drive the technology vision, architecture, and roadmap across AI, platform, data, and frontend systems Lead system architecture design for speech processing, real-time audio streaming, LLM-based agents, and multilingual interfaces Ensure engineering best practices: microservices design, scalability, uptime SLAs, and test automation 2. Team Building & People Leadership Build, mentor, and scale a high-performance engineering team including backend, frontend, AI, DevOps, QA, and integrations Instill a culture of ownership, fast iteration, performance reviews, and deep collaboration across teams Define career paths, recruit top-tier talent, and drive technical onboarding and coaching 3. Product Execution & Delivery Work with Product, Founders, and Sales Engineering to translate business needs into scalable technical implementations Own timelines, sprint planning, delivery schedules, and development velocity metrics Ensure security, latency, fault tolerance, and compliance across all releases 4. Platform & Infra Ownership Oversee cloud infrastructure on AWS (or GCP), containerization, CI/CD pipelines, observability, and cost optimization Own DevOps, uptime, disaster recovery, and horizontal scaling for high concurrency needs Manage data engineering and database architecture across PostgreSQL, MongoDB, S3, Redis, and vector DBs 5. AI/ML & GenAI Integration Work closely with Head of AI/ML on integrating Whisper, LangChain, custom RAG pipelines, and multilingual inference stacks into production systems Translate AI/ML research into performant APIs, stream pipelines, and real-time inference microservices Ensure optimized GPU/CPU utilization, caching, and latency control on real-time AI modules 6. Client-Facing & Sales Support Support enterprise pre-sales and post-sales engineering for large deals (in BFSI, real estate, etc.) Handle security reviews, solution architecture walkthroughs, and platform deep dives with client CTO teams Create system documentation, architecture diagrams, and technical solution notes Qualifications & Skills Must-Have 10–15 years of total experience in software engineering, with at least 4–5 years in senior leadership Proven experience scaling a B2B SaaS platform across geographies Deep backend expertise in Python, Node.js, PostgreSQL, MongoDB , microservices Strong understanding of cloud-native development (AWS/GCP), DevOps, CI/CD , and real-time systems Experience managing large-scale, concurrent user bases and low-latency applications Strong understanding of security protocols, enterprise authentication (SAML/OAuth), and compliance Good to Have Exposure to speech-to-text , audio processing, NLP, or GenAI-based inference systems Experience working with AI frameworks (Torch, HuggingFace, LangChain) and GPU inference optimization Familiarity with Flutter , Angular/React , or mobile deployment is a plus Hands-on experience with vector databases, Redis, WebSockets , and scalable caching mechanisms Who You Are You’ve built high-growth engineering teams from scratch or scaled them through 10x growth phases You’ve architected and shipped world-class SaaS systems, preferably with real-time or AI components You balance technical depth with strategic business alignment You lead by influence, feedback, and deep respect—not just authority You’re obsessed with metrics, uptime, shipping velocity, and end-user outcomes You’re energized by fast-paced environments, ambiguous challenges, and clear impact What Success Looks Like in 12 Months A rock-solid engineering team shipping weekly with full CI/CD and 99.99% uptime Near real-time AI inference systems powering multilingual speech and coaching Engineering velocity has doubled, without sacrificing stability Architecture is mature, modular, secure, and scalable across geographies You’ve built strong tech documentation and institutional knowledge systems Product features are built fast, secure, and adopted well by enterprise clients Engineering culture is resilient, hungry, and ready for global scale How to Apply Send your resume to careers@darwix.ai Subject: Application – VP Engineering – [Your Name] (Optional): Include a brief note outlining a high-impact engineering initiative you’ve led and the measurable impact it created. This is not just an engineering leadership role. It’s a rare opportunity to build a generational AI company from the ground up —as the tech backbone for sales teams globally. If you’ve built systems that scale, teams that thrive, and products that change behavior— we’d love to speak with you.

🧠 Job Title: Engineering Manager Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience Required: 7–12 Years Compensation: Competitive salary + ESOPs + Performance-based bonuses 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing AI-first startups, building next-gen conversational intelligence and real-time agent assist tools for sales teams globally. We’re transforming how enterprise sales happens across industries like BFSI, real estate, retail, and telecom with a GenAI-powered platform that combines multilingual transcription, NLP, real-time nudges, knowledge base integration, and performance analytics—all in one. Our clients include some of the biggest names in India, MENA, and SEA. We’re backed by marquee venture capitalists, 30+ angel investors, and operators from top AI, SaaS, and B2B companies. Our founding team comes from IITs, IIMs, BITS Pilani, and global enterprise AI firms. Now, we’re looking for a high-caliber Engineering Manager to help lead the next phase of our engineering evolution. If you’ve ever wanted to build and scale real-world AI systems for global use cases—this is your shot. 🎯 Role Overview As Engineering Manager at Darwix AI, you will be responsible for leading and managing a high-performing team of backend, frontend, and DevOps engineers. You will directly oversee the design, development, testing, and deployment of new features and system enhancements across Darwix’s AI-powered product suite. This is a hands-on technical leadership role , requiring the ability to code when needed, conduct architecture reviews, resolve blockers, and manage the overall engineering execution. You’ll work closely with product managers, data scientists, QA teams, and the founders to deliver on roadmap priorities with speed and precision. You’ll also be responsible for building team culture, mentoring developers, improving engineering processes, and helping the organization scale its tech platform and engineering capacity. 🔧 Key Responsibilities1. Team Leadership & Delivery Lead a team of 6–12 software engineers (across Python, PHP, frontend, and DevOps). Own sprint planning, execution, review, and release cycles. Ensure timely and high-quality delivery of key product features and platform improvements. Solve execution bottlenecks and ensure clarity across JIRA boards, product documentation, and sprint reviews. 2. Architecture & Technical Oversight Review and refine high-level and low-level designs proposed by the team. Provide guidance on scalable architectures, microservices design, performance tuning, and database optimization. Drive migration of legacy PHP code into scalable Python-based microservices. Maintain technical excellence across deployments, containerization, CI/CD, and codebase quality. 3. Hiring, Coaching & Career Development Own the hiring and onboarding process for engineers in your pod. Coach team members through 1:1s, OKRs, performance cycles, and continuous feedback. Foster a culture of ownership, transparency, and high-velocity delivery. 4. Process Design & Automation Drive adoption of agile development practices—daily stand-ups, retrospectives, sprint planning, documentation. Ensure production-grade observability, incident tracking, root cause analysis, and rollback strategies. Introduce quality metrics like test coverage, code review velocity, time-to-deploy, bug frequency, etc. 5. Cross-functional Collaboration Work closely with the product team to translate high-level product requirements into granular engineering plans. Liaise with QA, AI/ML, Data, and Infra teams to coordinate implementation across the board. Collaborate with customer success and client engineering for debugging and field escalations. 🔍 Technical Skills & Stack🔹 Primary Languages & Frameworks: Python (FastAPI, Flask, Django) PHP (legacy services; transitioning to Python) TypeScript, JavaScript, HTML5, CSS3 Mustache templates (preferred), React/Next.js (optional) 🔹 Databases & Storage: MySQL (primary), PostgreSQL MongoDB, Redis Vector DBs: Pinecone, FAISS, Weaviate (RAG pipelines) 🔹 AI/ML Integration: OpenAI APIs, Whisper, Wav2Vec, Deepgram Langchain, HuggingFace, LlamaIndex, LangGraph 🔹 DevOps & Infra: AWS EC2, S3, Lambda, CloudWatch Docker, GitHub Actions, Nginx Git (GitHub/GitLab), Jenkins (optional) 🔹 Monitoring & Testing: Prometheus, Grafana, Sentry PyTest, Selenium, Postman ✅ Candidate Profile👨‍💻 Experience: 7–12 years of total engineering experience in high-growth product companies or startups. At least 2 years of experience managing teams as a tech lead or engineering manager. Experience working on real-time data systems, microservices architecture, and SaaS platforms. 🎓 Education: Bachelor’s or Master’s degree in Computer Science or related field. Preferred background from Tier 1 institutions (IITs, BITS, NITs, IIITs). 💼 Traits We Love: You lead with clarity, ownership, and high attention to detail. You believe in building systems—not just shipping features. You are pragmatic and prioritize team delivery velocity over theoretical perfection. You obsess over latency, clean interfaces, and secure deployments. You want to build a high-performing tech org that scales globally. 🌟 What You’ll Get Leadership role in one of India’s top GenAI startups Competitive fixed compensation with performance bonuses Significant ESOPs tied to company milestones Transparent performance evaluation and promotion framework A high-speed environment where builders thrive Access to investor and client demos, roadshows, GTM huddles, and more Annual learning allowance and access to internal AI/ML bootcamps Founding-team-level visibility in engineering decisions and product innovation 🛠️ Projects You’ll Work On Real-time speech-to-text engine in 11 Indian languages AI-powered live nudges and agent assistance in B2B sales Conversation summarization and analytics for 100,000+ minutes/month Automated call scoring and custom AI model integration Multimodal input processing: audio, text, CRM, chat Custom knowledge graph integrations across BFSI, real estate, retail 📢 Why This Role Matters This is not just an Engineering Manager role. At Darwix AI, every engineering decision feeds directly into how real sales teams close deals. You’ll see your work powering real-time customer calls, nudging field reps in remote towns, helping CXOs make hiring decisions, and making a measurable impact on enterprise revenue. You’ll help shape the core technology platform of a company that’s redefining how humans and machines interact in sales. 📩 How to Apply Email your resume, GitHub/portfolio (if any), and a few lines on why this role excites you to: 📧 people@darwix.ai Subject: Application – Engineering Manager – [Your Name] If you’re a technical leader who thrives on velocity, takes pride in mentoring developers, and wants to ship mission-critical AI systems that power revenue growth across industries, this is your stage . Join Darwix AI. Let’s build something that lasts.

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)

Job description 🚀 Job Title: 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 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 – 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.

🚀 Job Title: Full Stack Developer – PHP / Python Company: Darwix AI Location: Gurgaon (On-site Preferred / Hybrid Flexibility) Type: Full-Time Experience: 2–6 years Tech Stack: PHP / Python (Backend), HTML, CSS, JavaScript, MySQL (Database), Git 🌍 About Darwix AI At Darwix AI , we are transforming the world of enterprise sales through real-time conversational intelligence and AI-driven sales coaching. Our GenAI-powered suite delivers multilingual voice-to-text transcription, real-time nudges, agent assist, and sales analytics—empowering revenue teams across India, the Middle East, and Southeast Asia to close faster and better. We are backed by top-tier VCs and over 30+ industry leaders and are building the future of AI for sales from India to the world. As we scale globally, we’re looking for driven engineers to help us build high-impact, scalable systems. 🎯 Role Overview We are looking for a Full Stack Developer who is confident working across both backend and frontend layers , with solid expertise in PHP and/or Python , and who can build, integrate, and scale mission-critical applications from the ground up. As a full stack engineer, you’ll work on everything from real-time data pipelines, admin dashboards, CRM integrations, agent interfaces, AI integrations, and powerful backend APIs—used by thousands of reps in sales, banking, and retail every day. This role is hands-on, execution-driven, and designed for someone who thrives in a high-growth startup with a strong ownership mindset. 🧠 Key Responsibilities 1. Backend Engineering (PHP/Python) Build and maintain backend services, APIs, and admin systems using PHP (Laravel/Core) and/or Python (Flask/Django/FastAPI). Optimize queries, server logic, and response times for high-traffic systems. Integrate with AI and ML services, authentication layers, and third-party APIs (CRMs, VOIP, WhatsApp, etc.). 2. Frontend Development Build responsive UIs using HTML, CSS, Bootstrap, JavaScript, and jQuery. Integrate backend APIs and data pipelines into usable UI components. Work with Mustache templating or explore React.js for dynamic dashboards. 3. Database Design & Data Handling Work with MySQL (preferred) and MongoDB (optional) to build efficient schemas, stored procedures, and scalable data models. Write optimized SQL queries, manage indexing, and ensure performance tuning. 4. DevOps & Version Control Use Git and GitHub for version control, code collaboration, and CI/CD. Deploy applications on AWS EC2 and manage live server interactions (code push, rollback, backup). 5. Moodle Customization (Preferred) (Bonus) Experience with Moodle-based development for LMS/enablement modules. Plugin development, UI customization, and API integration for learning platforms. 6. Cross-functional Collaboration Work closely with product managers, AI engineers, and frontend specialists to define feature scope and execution roadmap. Collaborate with QA team for test case automation, release cycles, and user testing. ✅ Desired Skills and Qualifications 2–6 years of experience as a Full Stack Developer , preferably in SaaS or B2B product companies. Proficient in Core PHP / Laravel and/or Python frameworks (Django, Flask, FastAPI). Strong grip on HTML, CSS, Bootstrap, JavaScript, jQuery . Proficient in working with MySQL or similar relational databases. Hands-on experience with Git, GitHub, and basic Linux command line. Comfortable working with API integrations (REST, Webhooks, etc.). Bonus: Experience with Docker , Moodle , Mustache , React.js , ElasticSearch . 🧠 Who Will Succeed in This Role You enjoy writing clean, scalable, and maintainable code—and take full ownership of your modules. You’ve built full-stack applications that are live in production environments. You understand business logic as deeply as backend logic—and optimize for usability and performance. You’re comfortable learning new tools and scaling systems across diverse enterprise requirements. You want to build in a fast-paced startup that puts product quality and user impact above everything. 💼 What We Offer Competitive salary and performance-based growth path. Equity potential based on long-term contributions. Mentorship from ex-founders and engineers from top product and AI companies. The opportunity to build for India, MENA, and global clients across industries. Work on AI-integrated systems , real-time agent assist, analytics, transcription, and more. A flat, high-ownership culture where you ship, you learn, you grow. 📬 How to Apply Email your resume and links to past projects (GitHub, portfolio) to: 📩 people@darwix.ai Subject: Application for Full Stack Developer – PHP/Python Darwix AI We’re building AI that sells. And the platform that powers it. www.darwix.ai

Job description 🚀 Job Title: ML 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 ML 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 / vishnu.sethi@cur8.in Subject Line: Application – ML 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.

🚀 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.

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

🧠 Job Title: Senior Machine Learning Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 4–8 years Education : B.Tech / M.Tech / Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related fields 🚀 About Darwix AI Darwix AI is India's fastest-growing GenAI SaaS startup, building real-time conversational intelligence and agent-assist platforms that supercharge omnichannel enterprise sales teams across India, MENA, and Southeast Asia. Our mission is to redefine how revenue teams operate by using Generative AI, LLMs, Voice AI , and deep analytics to deliver better conversations, faster deal cycles, and consistent growth. Our flagship platform, Transform+ , analyzes millions of hours of sales conversations, gives live nudges, builds AI-powered sales content, and enables revenue teams to become truly data-driven — in real time. We’re backed by marquee investors, industry veterans, and AI experts, and we’re expanding fast. As a Senior Machine Learning Engineer , you will play a pivotal role in designing and deploying intelligent ML systems that power every layer of this platform — from speech-to-text, diarization, vector search, and summarization to recommendation engines and personalized insights. 🎯 Role Overview This is a high-impact, high-ownership role for someone who lives and breathes data, models, and real-world machine learning. You will design, train, fine-tune, deploy, and optimize ML models across various domains — speech, NLP, tabular, and ranking. Your work will directly power critical product features: from personalized agent nudges and conversation scoring to lead scoring, smart recommendations, and retrieval-augmented generation (RAG) pipelines. You’ll be the bridge between data science, engineering, and product — converting ideas into models, and models into production-scale systems with tangible business value. 🧪 Key Responsibilities🔬 1. Model Design, Training, and Optimization Develop and fine-tune machine learning models using structured, unstructured, and semi-structured data sources. Work with models across domains: text classification, speech transcription, named entity recognition, topic modeling, summarization, time series, and recommendation systems. Explore and implement transformer architectures, BERT-style encoders, Siamese networks, and retrieval-based models. 📊 2. Data Engineering & Feature Extraction Build robust ETL pipelines to clean, label, and enrich data for supervised and unsupervised learning tasks. Work with multimodal inputs — audio, text, metadata — and build smart representations for downstream tasks. Automate data collection from APIs, CRMs, sales transcripts, and call logs. ⚙️ 3. Productionizing ML Pipelines Package and deploy models in scalable APIs (using FastAPI, Flask, or similar frameworks). Work closely with DevOps to containerize and orchestrate ML workflows using Docker, Kubernetes, or CI/CD pipelines. Ensure production readiness: logging, monitoring, rollback, and fail-safes. 📈 4. Experimentation & Evaluation Design rigorous experiments using A/B tests, offline metrics, and post-deployment feedback loops. Continuously optimize model performance (latency, accuracy, precision-recall trade-offs). Implement drift detection and re-training pipelines for models in production. 🔁 5. Collaboration with Product & Engineering Translate business problems into ML problems and align modeling goals with user outcomes. Partner with product managers, AI researchers, data annotators, and frontend/backend engineers to build and launch features. Contribute to the product roadmap with ML-driven ideas and prototypes. 🛠️ 6. Innovation & Technical Leadership Evaluate open-source and proprietary LLM APIs, AutoML frameworks, vector databases, and model inference techniques. Drive innovation in voice-to-insight systems (ASR + Diarization + NLP). Mentor junior engineers and contribute to best practices in ML development and deployment. 🧰 Tech Stack🔧 Languages & Frameworks Python (core), SQL, Bash PyTorch, TensorFlow, HuggingFace, scikit-learn, XGBoost, LightGBM 🧠 ML & AI Ecosystem Transformers, RNNs, CNNs, CRFs BERT, RoBERTa, GPT-style models OpenAI API, Cohere, LLaMA, Mistral, Anthropic Claude FAISS, Pinecone, Qdrant, LlamaIndex ☁️ Deployment & Infrastructure Docker, Kubernetes, GitHub Actions, Jenkins AWS (EC2, Lambda, S3, SageMaker), GCP, Azure Redis, PostgreSQL, MongoDB 📊 Monitoring & Experimentation MLflow, Weights & Biases, TensorBoard, Prometheus, Grafana 👨‍💼 Qualifications🎓 Education Bachelor’s or Master’s degree in CS, AI, Statistics, or related quantitative disciplines. Certifications in advanced ML, data science, or AI are a plus. 🧑‍💻 Experience 4–8 years of hands-on experience in applied machine learning. Demonstrated success in deploying models to production at scale. Deep familiarity with transformer-based architectures and model evaluation. ✅ You’ll Excel In This Role If You… Thrive on solving end-to-end ML problems — not just notebooks, but deployment, testing, and iteration. Obsess over clean, maintainable, reusable code and pipelines. Think from first principles and challenge model assumptions when they don’t work. Are deeply curious and have built multiple projects just because you wanted to know how something works. Are comfortable working with ambiguity, fast timelines, and real-time data challenges. Want to build AI products that get used by real people and drive revenue outcomes — not just vanity demos. 💼 What You’ll Get at Darwix AI Work with some of the brightest minds in AI , product, and design. Solve AI problems that push the boundaries of real-time, voice-first, multilingual enterprise use cases. Direct mentorship from senior architects and AI scientists. Competitive compensation (₹30L–₹45L CTC) + ESOPs + rapid growth trajectory. Opportunity to shape the future of a global-first AI startup built from India. Hands-on experience with the most advanced tech stack in applied ML and production AI. Front-row seat to a generational company that is redefining enterprise AI. 📩 How to Apply Ready to build with us? Send your resume, GitHub/portfolio, and a short write-up on: “What’s the most interesting ML system you’ve built — and what made it work?” Email: people@darwix.ai Subject: Senior ML Engineer – Application 🔐 Final Notes We value speed, honesty, and humility. We ship fast, fail fast, and learn even faster. This role is designed for high-agency, hands-on ML engineers who want to make a difference — not just write code. If you’re looking for a role where you own real impact , push technical boundaries, and work with a team that’s as obsessed with AI as you are — then Darwix AI is the place for you. Darwix AI – GenAI for Revenue Teams. Built from India, for the World.

Moodle Developer – LMS Customization & Backend Integration Location : Sector 63, Gurgaon – 100% In-Office Working Days : Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM to 8:00 PM Experience Required : 2–6 years of experience in Moodle development, LMS customization, and backend integration Apply at : careers@darwix.ai Subject Line : Application – Moodle Developer – [Your Name] 🧠 About Darwix AI Darwix AI is India’s fastest-growing GenAI company transforming how large enterprise sales teams operate across India, MENA, and Southeast Asia. Our platform offers multilingual conversational intelligence, voice AI, real-time agent nudges, and AI-powered enablement tools used across BFSI, retail, real estate, and healthcare industries. Our product suite includes real-time call analysis, sales coaching, gamification engines, and learning enablement. To support our expanding customer training ecosystem, we leverage Moodle as our LMS base and are looking for a skilled Moodle Developer to own its configuration, custom plugin development, UI theming, and backend integrations. 🎯 Role Overview We are seeking a Moodle Developer to lead the customization, extension, and maintenance of our learning management system. You will work closely with our product and engineering teams to ensure seamless integration between our AI-powered platform and the Moodle LMS used for onboarding and upskilling large enterprise sales teams. The ideal candidate will have a strong PHP background, expertise in Moodle’s plugin ecosystem, and a practical understanding of SCORM, quiz engines, dashboards, and user workflows within Moodle. 🔧 Key ResponsibilitiesMoodle Customization & Module Development Develop, extend, and maintain custom Moodle plugins , blocks, activities, and themes Customize core Moodle functionalities to align with enterprise training workflows Create new modules or enhance existing ones for gamification , certification , or interactive training assessments Build user roles and workflows tailored to enterprise hierarchies (Admins, Managers, Sales Reps) UI/UX Enhancements Customize Moodle themes and layouts to align with Darwix AI’s brand and design systems Ensure frontend responsiveness and cross-browser compatibility Create intuitive, mobile-friendly UI flows for better adoption by field and sales teams Improve course navigation, onboarding experience, and reporting dashboards Backend & API Integration Integrate Moodle with external systems (CRMs, call scoring engines, analytics dashboards) Work with REST APIs , webhooks , and authentication tokens for cross-system workflows Enable SSO , role-based login redirections, and course access control Support integrations with WhatsApp/email notification systems for learning nudges Data Management & Reporting Set up custom reports , completion dashboards , and progress analytics Handle structured data exports for MIS teams and integrate analytics into Darwix AI dashboards Track quiz responses, assessment scores, and completion logs for certification workflows Maintenance & Support Regularly update Moodle to the latest stable version while preserving customizations Monitor logs, debug errors, and perform patch updates or hotfixes Document all custom modules and system-level configurations Support onboarding of new enterprise clients on customized Moodle instances ✅ Required Skills & Qualifications 2–6 years of hands-on experience with Moodle development and customization Strong proficiency in PHP , MySQL , HTML , CSS , and JavaScript Experience in developing Moodle plugins , themes , and custom blocks Familiarity with Moodle’s core architecture and upgrade cycles Experience integrating Moodle with external systems using REST APIs Basic understanding of SCORM , LTI , and content packaging for LMS use Ability to document and manage source code using Git and follow structured release practices ⚙️ Bonus Skills (Good to Have) Experience in LMS implementation for large enterprises or training institutions Familiarity with mobile-responsive LMS workflows and hybrid app integrations Prior experience working on learning analytics and adaptive learning modules Understanding of Moodle’s caching systems, cron jobs, and performance tuning Experience with video hosting integrations (YouTube, Vimeo, AWS MediaConvert, etc.) 🧬 You’ll Excel in This Role If You: Are passionate about building tools that enhance how people learn and grow Have experience managing large-scale deployments of Moodle across different organizations Enjoy building learning systems that integrate with real-time business tools and CRMs Can operate independently while collaborating with a high-performing engineering team Care about user experience as much as backend logic and customization 📬 How to Apply Send your CV to careers@darwix.ai Subject Line: Application – Moodle Developer – [Your Name] (Optional): Share a Moodle plugin or customization you’ve worked on, and how it improved the learning experience or workflow for end-users. This is your opportunity to work at the intersection of AI, learning enablement, and enterprise software , and build the backbone for upskilling thousands of sales professionals across India and the Middle East. If you’ve built on Moodle before and want to scale your work into a real-time enterprise-grade product— we’d love to speak with you.

🚀 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

Job Overview We are seeking a motivated and enthusiastic Sales Associate to join our dynamic team. The ideal candidate will have a passion for customer service and a keen interest in interior design. As a Sales Associate, you will play a crucial role in providing exceptional service to our customers, assisting them in selecting products that meet their needs, and contributing to the overall success of our sales team. Duties Engage with customers to understand their needs and provide tailored product recommendations. Demonstrate product features and benefits through engaging product demos. Utilize point-of-sale (POS) systems to process transactions accurately and efficiently. Maintain an organized and visually appealing sales floor that reflects current market trends. Negotiate pricing and terms with customers to close sales effectively. Provide excellent customer service by addressing inquiries, resolving issues, and ensuring customer satisfaction. Collaborate with team members to achieve sales targets and enhance the overall shopping experience. Stay informed about industry trends, new products, and competitor offerings to better serve customers. Qualifications Previous experience in sales or customer service is preferred. Knowledge of interior design principles is a plus. Strong organizational skills with the ability to manage multiple tasks effectively. Basic math skills for handling transactions and calculating discounts. Multilingual abilities are advantageous for serving a diverse customer base. Excellent communication skills with the ability to engage customers positively. A proactive attitude with a willingness to learn about new products and sales techniques. Preferred male candidates Join our team as a Sales Associate and contribute to creating an enjoyable shopping experience for our customers while developing your skills in sales and customer service! more attaractive,simple and professional .we are a premium watch retailer with same content Job Type: Full-time Pay: Up to ₹20,000.00 per month Schedule: Day shift Work Location: In person

Job Title: Air Ticketing Executive Department: Air ticketing Location: Trivandrum Employment Type: Full-Time Job Summary: We are looking for a detail-oriented and customer-focused Air Ticketing Executive to join our team. The ideal candidate will be responsible for handling flight bookings, issuing tickets, managing reservations, and ensuring smooth travel arrangements for clients. They should have expertise in using airline reservation systems, excellent communication skills, and a strong understanding of international and domestic ticketing policies. Key Responsibilities: Process and issue domestic and international air tickets using GDS (Amadeus/Galileo/Sabre) and other booking platforms. Handle airline reservations, fare calculations, re-issuances, cancellations, and refunds. Provide clients with accurate flight information, schedules, and pricing options. Assist with group bookings, corporate travel, and urgent ticketing requests. Stay updated on airline policies, travel regulations, and visa requirements. Coordinate with airlines and suppliers to resolve booking issues and ensure customer satisfaction. Manage customer queries related to ticketing via calls, emails, and walk-ins. Ensure accuracy in ticket issuance, maintaining proper documentation for records. Required Skills & Qualifications: Proven experience in air ticketing and reservations (Minimum 1-3 years preferred). Proficiency in GDS systems like Amadeus, Galileo, or Sabre. Strong understanding of airline fares, ticketing rules, and travel policies. Excellent communication and customer service skills. Ability to handle pressure and work in a fast-paced environment. Basic knowledge of visa regulations and travel documentation is a plus. Preferred Qualifications: IATA certification or relevant travel and tourism diploma. Experience handling corporate and group ticketing. Multilingual skills (English + local or international language) are an advantage. If you are passionate about travel and ticketing services, we invite you to join our dynamic team! Job Type: Full-time Pay: ₹25,000.00 - ₹45,000.00 per month Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Experience: Airticketing: 4 years (Required) Location: Trivandrum, Kerala (Required) Work Location: In person

Location: Hyderabad (On-site) Experience: 0–1 Years | Freshers Welcome Internship Duration: 2 Months Stipend: Provided Opportunity: High-performing interns will be offered full-time roles- Founding Operations Intern – Fulfillment & Logistics Responsibilities:• Manage daily order processing, dispatch & delivery coordination• Collaborate with sales to maintain a smooth stock flow• Ensure packaging quality and on-time delivery Requirements:• 0–1 year experience in operations/logistics (freshers encouraged)• Strong field execution & coordination skills• Basic Excel knowledge preferred• Multilingual: English, Telugu, Hindi Job Types: Full-time, Fresher, Internship Contract length: 2 months Pay: ₹8,000.00 - ₹20,000.00 per month Supplemental Pay: Commission pay Performance bonus Quarterly bonus Yearly bonus Ability to commute/relocate: Ameerpet, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Willingness to travel: 75% (Preferred) Work Location: In person

Job Summary: We are seeking a passionate and experienced English Trainer to join our team. The ideal candidate will be responsible for delivering high-quality English language training to students or professionals, enhancing their reading, writing, speaking, and listening skills. The trainer will also tailor sessions based on learner needs and ensure continual progress and engagement. Key Responsibilities: Conduct English language training sessions (online or in-person) for individuals or groups. Develop and deliver customized lesson plans based on learners' proficiency levels and goals. Use interactive and communicative teaching methodologies to ensure learner engagement. Assess learners’ performance through tests, assignments, and regular feedback. Track student progress and provide regular reports or updates to stakeholders. Stay updated with the latest trends in English language teaching (ELT) and tools. Create or recommend learning materials and resources (videos, exercises, reading content). Support learners preparing for standardized tests (IELTS, TOEFL, PTE, etc.), if required. Requirements: Bachelor's degree in English, Education, Linguistics, or a related field (Master’s preferred). TEFL/TESOL/CELTA certification or equivalent (mandatory/preferred). Proven experience in teaching or training English (minimum 0–3 years preferred). Excellent verbal and written communication skills. Strong interpersonal and classroom management skills. Familiarity with digital teaching tools and platforms (Zoom, Google Classroom, LMS, etc.). Preferred Qualifications: Experience teaching Business English or English for Specific Purposes (ESP). Ability to teach English to non-native speakers from diverse cultural backgrounds. Flexibility to work across time zones (for remote trainers). Multilingual abilities are a plus. Fresher are welcome. Compensation & Benefits: Competitive salary based on experience Training and professional development opportunities Job Types: Full-time, Fresher Pay: ₹17,000.00 - ₹20,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Ganapathi, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Experience: Personal training: 1 year (Preferred) Language: English (Required) Work Location: In person Expected Start Date: 05/08/2025

We are looking for a Telecaller who can connect with customers over the phone to explain products, resolve queries, or generate sales leads. The ideal candidate should have excellent communication skills, patience, and a customer-focused approach. Key Responsibilities: Make outbound calls to potential customers or existing clients. Answer incoming calls professionally and resolve customer inquiries. Provide information about products or services clearly and concisely. Maintain records of calls and customer details in CRM/software. Follow up with leads or inquiries generated through marketing campaigns. Meet daily/weekly/monthly call and conversion targets. Handle complaints or escalations calmly and effectively. Requirements: Minimum qualification: 12th pass or Graduate in any stream. Excellent verbal communication skills in [Language(s)]. Good listening skills and a positive attitude. Basic computer knowledge (MS Office, email, CRM usage). Ability to handle rejection and remain confident. Preferred Skills: Prior experience in telesales, telemarketing, or customer service. Multilingual ability is a plus. Target-driven and self-motivated. Salary & Benefits: Salary: ₹[Insert range] per month + Incentives Incentive structure based on performance Paid training and skill development Career growth opportunities Job Type: Permanent Pay: ₹8,387.58 - ₹28,521.14 per month Benefits: Health insurance Provident Fund Work Location: In person

We’re Hiring – Receptionist | Finstars Capital Ltd | Ahmedabad Are you a confident, courteous, and multilingual professional with excellent communication skills and a knack for front-office management? Receptionist Experience: 1–2 years (relevant) Fluent in English, Gujarati & Hindi Ahmedabad Why Join Us? Be part of a dynamic and professional team Grow your skills in a reputable NBFC environment Contribute to delivering an excellent client experience. Apply Now! [8780633408]. Job Type: Full-time Pay: ₹15,000.00 - ₹30,000.00 per month Language: English (Preferred) Work Location: In person Application Deadline: 31/07/2025

Job Overview: Location: [customer support executive] Job Type: Full time (2pm to 11pm)Evening shift Department: Customer Service Reports to: Customer Support Manager Job Summary: We are seeking a proactive and empathetic Customer Support Executive to join our team. You will be the first point of contact for our customers, providing support through various channels (phone, email, chat) and ensuring a smooth and satisfying customer experience. Your goal is to resolve inquiries efficiently, promote customer loyalty, and contribute to the improvement of our service processes. Key Responsibilities: Respond to customer queries in a timely and accurate way via phone, email, or chat. Identify customer needs and help customers use specific features or resolve product-related issues. Update internal databases with information about customer interactions, feedback, and technical issues. Monitor customer complaints and resolve them efficiently to ensure customer satisfaction. Escalate complex issues to the appropriate departments or team leaders. Follow up with customers to ensure their issues are resolved. Collaborate with cross-functional teams (sales, tech support, logistics) to deliver the best solutions. Keep up to date with product knowledge and company policies. Requirements: Bachelor’s degree in any field (preferred in Business, Communication, or related areas). 1–3 years of experience in a customer support or client-facing role. Excellent verbal and written communication skills. Proficiency in using support tools (e.g., Zendesk, Freshdesk, CRM systems). Strong problem-solving skills and attention to detail. Ability to remain calm and patient, especially with difficult customers. Flexibility to work in shifts, if required. Nice to Have: Multilingual skills. Experience in [industry-specific] support (e.g., e-commerce, SaaS, telecom). Familiarity with ticketing systems or live chat platforms. Benefits: Competitive salary Health insurance Paid time off Professional development opportunities Flexible work options Job Types: Full-time, Permanent, Fresher Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Paid sick time Work Location: In person

Training and Development Manager (TDM) – Automobile Sector Location: Kamalgazi, South Kolkata Department: Learning & Development Reports To: HR Director / Senior Management Experience: 5–10 years in Training & Development, preferably in the automobile or manufacturing industry Job Summary: We are seeking a dynamic and experienced Training and Development Manager to lead the design, implementation, and evaluation of learning and development strategies in alignment with the goals of our automotive business. The ideal candidate will bring deep industry knowledge, strong facilitation skills, and the ability to upskill our workforce in both technical and soft skill areas. Key Responsibilities: Design and execute training programs tailored for various departments including manufacturing, sales, after-sales, R&D, and service. Conduct training needs assessments across technical and non-technical teams. Develop and maintain competency frameworks for key roles (technicians, engineers, sales advisors, etc.). Create and deliver in-house training sessions; coordinate with external training providers when necessary. Monitor and evaluate the effectiveness of training programs and make continuous improvements. Foster a culture of continuous learning and professional development. Implement digital learning tools (e-learning, LMS platforms, microlearning, etc.). Maintain training records, certifications, and compliance with regulatory standards (e.g., ISO, safety standards). Manage training budgets, calendars, and resource planning. Lead onboarding and orientation programs for new employees. Stay up to date with automotive technology trends to align training content with industry advancements. Qualifications & Skills: Bachelor's degree in Human Resources, Engineering, Business Administration or related field (Master’s degree preferred). Certifications in L&D, Instructional Design, or similar credentials are a plus. Strong knowledge of training methodologies and adult learning principles. Prior experience in the automobile or manufacturing sector is highly preferred . Excellent communication, presentation, and leadership skills. Proficient with LMS platforms, training analytics, and content development tools. Strong organizational and project management abilities. Preferred Attributes: Knowledge of lean manufacturing, Six Sigma, or Kaizen is a plus. Multilingual capabilities (especially regional languages) are an advantage. Experience in EV (Electric Vehicles) or other Vehicles training programs is a strong plus. Why Join Us: Be part of a leading organization in the automotive industry where innovation meets performance. Help shape the future workforce of mobility through cutting-edge training solutions and developmental programs. Let me know if you’d like a shorter version , or if you want this tailored for a dealership, EV company, or OEM specifically. Job Type: Full-time Pay: ₹20,000.00 - ₹35,000.00 per month Benefits: Cell phone reimbursement Health insurance Life insurance Paid sick time Paid time off Provident Fund Work Location: In person

Location: Janakpuri West Job Type: Full-Time Experience Required: 0–1years (Freshers with excellent communication skills are welcome) Industry: EdTech / E-Learning About Easetolearn Easetolearn is a fast-growing EdTech platform committed to simplifying learning and test preparation for students across competitive exams and academic subjects. We leverage technology to deliver accessible, personalized, and results-driven educational solutions. Job Summary We are seeking a dynamic and empathetic Academic Counselor to join our team. The ideal candidate will guide prospective learners through our offerings, understand their educational goals, and recommend the most suitable learning path. You will play a key role in improving student engagement, enrollment, and satisfaction. Key Responsibilities Engage with prospective learners via phone, email, or chat to understand their academic goals. Counsel students on suitable courses, programs, and career paths offered by Easetolearn. Handle inbound and outbound queries regarding courses, learning platforms, and exam preparation. Follow up with interested leads and convert them into enrollments. Provide post-enrollment academic support and ensure learner satisfaction. Maintain accurate records of student interactions and progress. Collaborate with the sales and content teams to improve communication and student experience. Achieve assigned counseling and conversion targets. Key Skills & Requirements Bachelor’s degree in any discipline (Education, Psychology, or Management preferred). Excellent communication and interpersonal skills. Strong persuasive and problem-solving abilities. Passionate about education and helping students succeed. Ability to work in a fast-paced and target-driven environment. Tech-savvy and comfortable with CRM tools, emails, and online platforms. Preferred Qualifications Previous experience in academic counseling, inside sales, or EdTech industry is a plus. Multilingual abilities are an advantage. What We Offer A growth-oriented work culture with mentorship and learning opportunities. Competitive salary and performance-based incentives. Flexible work environment and supportive team. A chance to contribute to meaningful education transformation. Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Cell phone reimbursement Internet reimbursement Paid time off Schedule: Day shift Supplemental Pay: Commission pay Ability to commute/relocate: Janakpuri, Delhi, Delhi: Reliably commute or planning to relocate before starting work (Preferred) Experience: Sales: 1 year (Preferred) Language: English (Preferred) Work Location: In person