What makes Techjays an inspiring place to work: At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change. Our global team consists of professionals who have honed their skills at leading companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. With engineering teams across the globe, we deliver tailored AI software and services to clients ranging from startups to large-scale enterprises. Be part of a company that’s pushing the boundaries of digital transformation. At Techjays, you’ll work on exciting projects that redefine industries, innovate with the latest technologies, and contribute to solutions that make a real-world impact. Join us on our journey to shape the future with AI. We are looking for a mid-level AI Implementation Engineer with a strong Python background to join our AI initiatives team. In this role, you will help design and develop production-ready systems that combine information retrieval, vector databases, and large language models (LLMs) into scalable Retrieval-Augmented Generation (RAG) pipelines. You’ll work closely with AI researchers, backend engineers, and data teams to bring generative AI use cases to life across multiple domains. Key Responsibilities: Develop and maintain scalable Python services that implement AI-powered retrieval and generation workflows. Build and optimize vector-based retrieval pipelines using tools like FAISS , Pinecone , or Weaviate . Integrate LLMs via APIs (e.g., OpenAI, Hugging Face) using orchestration frameworks such as LangChain , LlamaIndex , etc. Collaborate on system architecture, API design, and data flow to support RAG systems. Monitor, test, and improve the performance and accuracy of AI features in production. Work in cross-functional teams with product, data, and ML stakeholders to deploy AI solutions quickly and responsibly. Requirements: 3–5 years of hands-on experience in Python development, with focus on backend or data-intensive systems. Experience with information retrieval concepts and tools (e.g., Elasticsearch, vector search engines). Familiarity with LLM integration or orchestration tools (LangChain, LlamaIndex, etc.). Working knowledge of RESTful API development, microservices, and containerization (Docker). Solid software engineering practices including Git, testing, and CI/CD pipelines. Nice to have: Exposure to prompt engineering or fine-tuning LLMs. Experience deploying cloud-based AI applications (AWS, GCP, or Azure). Familiarity with document ingestion pipelines and unstructured data processing. Understanding of MLOps tools and practices (e.g., MLflow, Airflow). What we offer: Best-in-class packages. Paid holidays and flexible time-off policies. Casual dress code and a flexible working environment. Opportunities for professional development in an engaging, fast-paced environment. Medical insurance covering self and family up to 4 lakhs per person. Diverse and multicultural work environment. Be part of an innovation-driven culture with ample support and resources to succeed. Show more Show less

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

🚀 We're Hiring: Full Stack Developer (AI-Powered) – Ahmedabad Only Are you an experienced Full Stack Developer passionate about building AI-integrated, pixel-perfect SaaS applications? Join SlashEasy Solutions LLP , a fast-growing product & service company based in Ahmedabad, and help shape the future of full-stack development with modern tools like Bolt.new, Cursor AI, and GitHub Copilot . 🧠 Your Role You will independently own the development of full-stack web applications, from backend to frontend, transforming ideas into scalable, production-grade SaaS platforms. 🎯 Key Responsibilities Convert business ideas and prompts into modular working applications Build scalable backend services (Node.js / Xano / Express) Craft modern UIs (React / Next.js / TailwindCSS / Flutter) with pixel-perfect precision Integrate AI APIs like OpenAI, Claude, Grok, LangChain, etc. Develop and consume REST/GraphQL APIs Collaborate with our no-code experts (Bubble, Webflow) Implement role-based access, subscription systems, and payment gateways Deploy using AWS, Heroku, Railway, Supabase, or Vercel 💻 Must-Have Skills & Tools 2+ years of hands-on experience building SaaS web applications Strong in JavaScript / TypeScript, Node.js, PostgreSQL / MongoDB Frontend expertise in React.js, Next.js, Tailwind CSS , and other modern frameworks/libraries Experience with Supabase, Firebase, or Xano as backends along with traditional databases Experience in deploying full-stack applications with real users and production databases Prior use of AI dev tools like GitHub Copilot, Cursor AI, Bolt.new, Lovable, etc. Comfortable with API integrations, auth systems, Stripe/Razorpay, and scalable deployment workflows Proficient in both English & Hindi – written and verbal communication Strong UI/UX orientation and independent problem-solving mindset 📍 Location This position is onsite/hybrid , open only to candidates based in Ahmedabad or willing to relocate. 💼 Why Join Us? Be part of a fast-moving team launching multiple AI-first SaaS products Work in a modern dev stack with a forward-thinking, execution-focused culture Room to grow and lead full-cycle projects from scratch to scale 📝 How to Apply Apply directly via LinkedIn. Bonus: Share any apps you’ve built using AI tools or showcase your GitHub. Show more Show less

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

Contract Role: Data Scientist (Remote, Evening Shift) Duration: 2 Months Shift: 5 PM – 9 PM IST (Remote only) Experience: 8–10 years Start: Immediate Eligibility: Only candidates currently working remotely Key Skills Required: -LLMs & GenAI: GPT, Claude, Mistral, prompt engineering, fine-tuning -RAG: Vector DBs (FAISS, Pinecone), retrieval pipelines -Agentic AI: LangChain Agents, AutoGPT, multi-agent systems -LLMOps: Deployment (FastAPI, Docker), monitoring (Langfuse, PromptLayer) -Vendor Tools: OpenAI, Anthropic, Google, AWS, Azure -Databases: SQL, NoSQL, knowledge bases -Solutioning & Deployment: End-to-end delivery, API integration Show more Show less

Design, develop, and train ML/DL models for classification, regression, and generative tasks. Work with LLMs and GenAI tools such as GPT, BERT, Stable Diffusion, or DALL·E. Fine-tune pretrained models on custom datasets for NLP, CV, or audio tasks. Perform data wrangling, preprocessing, and augmentation for model readiness. Assist in building pipelines for training, evaluation, and deployment of models. Stay updated on the latest AI/ML/GenAI research and tools. Collaborate with research and product teams to integrate intelligent features into applications. Requirements Solid knowledge of Python and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). Understanding of ML concepts: supervised/unsupervised learning, overfitting, bias/variance, etc. Exposure to NLP or Computer Vision techniques. Familiarity with transformer models (e.g., GPT, BERT) and prompt engineering. Experience using Hugging Face Transformers, OpenAI API, or similar GenAI libraries. Basic knowledge of model evaluation (accuracy, precision, recall, F1-score). Good communication and teamwork skills. Show more Show less

Location: Bangalore, Pune Notice Period: Immediate to 10 days Experience: 13+ Years About the Role: We are looking for an experienced Engineering Manager (Generative AI) to lead client-facing AI/ML initiatives in a dynamic services environment. In this role, you will be the bridge between clients, data science teams, and engineering groups, ensuring the successful delivery of cutting-edge Generative AI solutions aligned to business goals. You will manage multiple concurrent projects involving emerging technologies like large language models (LLMs), diffusion models, and prompt engineering—while handling client communications, technical planning, and delivery governance. Key Responsibilities: Own and drive end-to-end Generative AI project delivery for clients—from pre-sales support and requirements gathering to deployment and post-launch support. Coordinate with cross-functional teams (data scientists, MLOps engineers, software developers, UI/UX designers) to translate client needs into scalable AI solutions. Manage project scope, timelines, budgets, and resource allocation across multiple client engagements. Conduct client workshops, create solution roadmaps, and define MVPs with measurable KPIs. Track progress using Agile methodologies and ensure timely delivery within SLA and quality standards. Guide internal teams on technology choices and delivery best practices in the Generative AI ecosystem (e.g., OpenAI, Hugging Face, LangChain, Pinecone, etc.). Support proposal development, solution architecture reviews, and pricing during pre-sales activities. Maintain clear, consistent communication with clients and internal leadership; manage escalations, risks, and delivery blockers proactively. Stay current with advancements in Generative AI and bring innovation to client engagements. Required Qualifications: 13+ years of experience in software development, GenAI, machine learning with at least 5 years in technical project management roles. Solid understanding of AI/ML workflows and hands-on familiarity with Generative AI concepts (LLMs, embeddings, vector search, prompt engineering, etc.). Conversant with Python and SQL. Practical experience in designing business solutions in these areas, and explaining those to the customers as part of pre-sales and/or delivery stage. Excellent analysis, and problem-solving skills. Deep thinking ability. Proven knowledge of data structure and algorithms. Proven track record of strong leadership and decision-making skills to drive consensus on requirements and ensure timely delivery of critical customer-facing AI features. Strong track record of developing, leading, coaching, and mentoring machine learning engineers and scientists is vital. Proficiency in Agile project management frameworks and tools (e.g., Jira, Confluence, Azure DevOps). Strong communication and stakeholder management skills—especially in client-facing roles. Cultivate a positive and growth-oriented environment. Bachelor’s degree in a related field, such as computer science, software engineering or data science, is recommended; Master’s or MBA is a plus. Preferred Skills: Experience working with cloud-native AI stacks (AWS SageMaker, Azure ML, Google Vertex AI, etc.). Exposure to MLOps and AI model lifecycle management. Technical certifications in AI/ML, cloud, or project management (e.g., PMP, PMI-ACP, CSM). Experience in consulting or delivering multi-region/global enterprise AI projects. What’s in it for You: Work with a fast-growing team on cutting-edge AI solutions across global clients. Opportunity to shape and scale next-gen AI delivery practices. Competitive compensation and flexible work arrangements. Access to continuous learning, certifications, and professional growth in the AI domain. Show more Show less

Location: Altimetrik base location (Bangalore/Chennai/ Pune/Jaipur/Hyderabad /Gurugram) Qualifications: A Bachelor's degree in a relevant field such as Computer Science, Software Engineering, or Data Science is preferred. A Masters degree in Artificial Intelligence is a plus. 4-8 years of experience working with Python and a high level of proficiency in the language. Outstanding analytical and problem-solving abilities. Extensive experience with Generative AI, with a solid understanding of end-to-end pipelines involving Large Language Models (LLMs) such as OpenAI, Llama, Claude, etc. Proven expertise in Prompt Engineering. Strong knowledge of NLP techniques, including text summarization, question answering, and more. Proficient in software design patterns, with experience in writing modular, reusable, and maintainable code. Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure). Relevant experience with Docker and Kubernetes is highly desirable. Strong ability to rapidly prototype ideas and tackle complex problems with innovative solutions. Experience working within an Agile development environment. Excellent communication and presentation skills. Show more Show less

Prime is a cutting-edge Edtech startup focused on building intelligent, autonomous AI agents that collaborate in multi-agent systems. We create agent-based architectures that enable autonomous decision-making and seamless cooperation to solve complex problems. Join us to help pioneer the future of decentralized AI! We are a fast-growing Edtech company driven by innovation, collaboration, and adaptability. Our mission is to deliver cutting-edge solutions that align with market demands and technical feasibility. Role Overview As a Multi-Agent Systems Architect at Prime Corporate, you will design and develop multi-agent architectures that empower AI agents to work together autonomously. You will be responsible for creating scalable, robust systems that enable agents to communicate, negotiate, and collaborate effectively, driving innovation in AI-driven automation. Key Responsibilities • Design and implement multi-agent system architectures that enable autonomous decision- making and collaboration among AI agents. • Develop agent-based frameworks that support task allocation, communication protocols, and coordination strategies. • Build and optimize agent communication layers using APIs, vector databases, and messaging protocols. • Integrate large language models (LLMs) and other AI components into agent workflows to enhance capabilities. • working directly with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, etc.). • Collaborate closely with product, engineering, and research teams to translate business requirements into technical solutions. • Ensure scalability, reliability, and fault tolerance of multi-agent systems in production environments. • Continuously research and apply the latest advances in multi-agent systems, decentralized AI, and autonomous agents. • Document architecture designs, workflows, and implementation details clearly for team collaboration and future reference. What We’re Looking For: • Practical experience designing and building multi-agent systems or agent-based architectures. • Proficiency in Python and familiarity with AI/ML frameworks (e.g., LangChain, AutoGen, HuggingFace). • Understanding of decentralized control, agent communication protocols, and emergent system design. • Experience with cloud platforms (AWS, GCP, Azure) and API integrations. • Strong problem-solving skills and ability to work independently in a remote startup environment. • No formal degree required - your skills, projects, and passion matter most. Location - 100% Remote Experience - 0-1 year Compensation Structure: This role follows a structured pathway designed to prepare candidates for the responsibilities of a full-time position. • Pre-Qualification Internship (Mandatory): • Duration: 2 months • Stipend: ₹5,000/month • Objective: To evaluate foundational skills, work ethic, and cultural fit within the organization. • Internship (Mandatory) • Duration: 4 months • Stipend: ₹5,000–₹15,000/month (based on performance during the pre-qualification internship) Why Join Prime Corporate ? • Work remotely with a passionate, innovative startup. • Contribute to pioneering multi-agent AI systems shaping the future of autonomous technology. • Grow your career from internship to full-time with competitive pay and equity opportunities. • Career Growth: Prove your potential and secure a full-time role with competitive compensation. Note: This is not a direct full-time job opportunity. Candidates must commit to our mandatory two- stage internship process. If you’re genuinely interested in joining us, we’d love to hear from you! Ready to build the future of autonomous AI? Apply now and join Prime Corporate mission! Show more Show less

J ob Description: Job Title: Full Stack Developer Job Type: Full Time Experience Level: Mid-Level (2+ years) Location: Pune (Hinjewadi Phase 2) CTC: 4.2 LPA – 6.5 LPA Immediate Joiner About Rasta.ai: Rasta.AI is a technology-driven platform that utilizes AI, computer vision, and 360-degree imaging to monitor and maintain road infrastructure in real-time. By enabling accurate defect detection, predictive maintenance, and efficient resource allocation, we aim to create safer, smarter, and more sustainable roads. Our collaborative ecosystem brings together stakeholders to improve road safety and infrastructure management. Job Overview: We are looking for a skilled and motivated Full Stack Developer with at least 2 years of hands-on experience in building scalable web applications. You’ll be working across the stack—building responsive front-ends, designing robust backend logic, and integrating with cloud-based services. If you're passionate about clean code, great user experiences, and modern development practices, we’d love to meet you! Roles and Responsibility: ● Design and develop modern web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js). ● Build and maintain responsive user interfaces with React, Next and Tailwind CSS. ● Develop robust server-side logic and RESTful APIs using Node.js and Express.js. ● Work with databases such as MongoDB, PostgreSQL, and SQL to manage application data and structure schemas. ● Deploy and manage applications on cloud platforms like AWS (EC2, S3). ● Integrate backend services with Flask and other Python-based microservices when needed. ● Collaborate with cross-functional teams including designers and backend engineers to meet project goals. ● Implement CI/CD pipelines, version control using Git & GitHub, and follow agile development practices. ●Conduct code reviews, offer constructive feedback, and troubleshoot bugs or performance issues. ● Apply strong fundamentals in Data Structures and Algorithms for optimal performance and scalability. Skills & Qualifications: ● Bachelor’s degree in Computer Science, Engineering, or a related technical field. ● Minimum 2 years of professional experience in full stack development. ● Proficient in JavaScript (ES6+), TypeScript, and modern frontend frameworks like React.js and Next.js. ● Strong experience with Node.js, Express.js, and RESTful API development. ● Familiarity with state management tools such as Redux and Zustand. ● Experience working with real-time communication using WebSocket. ● Hands-on knowledge of MongoDB, PostgreSQL, and other relational/non-relational databases. ● Experience with cloud services, especially AWS (EC2, S3). ● Familiarity with Flask for Python-based microservices or backend APIs. ● Strong command over HTML, CSS, and utility-first frameworks like Tailwind CSS. ● Experience in using Git and GitHub for version control and team collaboration. ● Solid understanding of CI/CD pipelines and automated deployments. ● Strong foundation in Data Structures and Algorithms. ● Excellent problem-solving, debugging, and analytical skills. ● Strong interpersonal and communication skills, with the ability to work in a collaborative team environment. Nice to Have (Optional): ● Experience with GraphQL, WebSockets, or real-time data applications. ● Familiarity with TypeScript and advanced TypeScript patterns. ● Exposure to containerization (Docker), serverless architecture (e.g., AWS Lambda), and deployment automation. ● Experience with Android or Flutter for cross-platform mobile app development. ● Familiarity with AI/ML integrations, especially Generative AI (GenAI) using tools like OpenAI, LangChain, or Hugging Face. ● Basic understanding of prompt engineering, LLM APIs, or integrating AI assistants/chatbots into applications. ● Prior contributions to open-source projects or a strong personal GitHub portfolio. ● Familiarity with Agile methodologies, project management tools (JIRA, Notion, etc.), and collaborative development workflows' How to apply: Interested candidates please send their resume on hr@aiunika.com. Only Genuine applications please. Show more Show less

Build systems that think, reason—and save lives. At Karyon Bio , we’re not just building AI. We’re building always-on clinical copilots —agentic AI systems that continuously interpret multi-omics, imaging, and clinical data to predict and prevent chronic diseases before it turns deadly. 🧠 Your Mission Join a fast-moving, impact-driven team at the forefront of AI + healthcare innovation. Work directly with scientific leadership team to: 🔹 Build multi-step LLM agent workflows using tools like LangGraph, LangChain, OpenAI/Google Agent SDKs 🔹 Design tool-using agents that reason, plan, and act in real-world clinical environments 🔹 Create RAG pipelines, structured memory, prompt orchestration for scalable decision-making 🔹 Own Python-based systems that securely integrate APIs and patient data via FHIR 🔹 Deploy fast, iterate faster— precision and performance save lives here ✅ What You Bring ✔️ Hands-on experience building agentic AI architectures with working code to show ✔️ Strong Python engineering and familiarity with modern ML/AI stacks ✔️ Deep understanding of LLM toolchains —vector stores, prompt engineering, function calling ✔️ Comfort in high-sensitivity environments where production code impacts real patients ✔️ Bonus: Experience with EHR integrations, HIPAA-compliant systems, or patient-facing health tech 🌍 Why This Matters Karyon Bio’s Agentic AI is changing how liver disease is detected and managed. → For patients: early detection, daily action plans, personalized risk scores → For hospitals: triaged workflows, diagnostic efficiency—no extra staff needed → For payors: real-time stratification, predictive analytics, value-based insights 🔬 Why You’ll Love Working Here 🚀 Real impact: Help catch chronic diseases years earlier , not years too late ⚙️ Cutting-edge stack: Work with the best agent frameworks and LLM tools available 👥 Direct ownership: Collaborate with leadership, not layers of middle management 🌱 Mission-first culture: We build with empathy, urgency, and scientific rigor Follow Karyon Bio Page for more postings: https://www.linkedin.com/company/karyon-bio/ #AgenticAI #HealthcareAI #LLMEngineering #PythonJobs #DigitalHealth #KaryonBio Show more Show less

About GEMGEM GEMGEM is building the world’s most trusted C2C marketplace for luxury jewelry — where technology and transparency redefine how fine jewelry is bought and sold. We are an AI-first company , leveraging artificial intelligence to solve real-world challenges in pricing, authentication, risk prevention, and buyer-seller matching. Unlike traditional resale platforms, GEMGEM manages every step of the transaction — from IGI-certified authentication to refurbishment and secure fulfillment — making it effortless and trustworthy for both buyers and sellers. We’re backed by over USD $1.5M in development funding and already active in the US market. With offices in Hong Kong, India, and the US, and a growing engineering team, we are scaling fast. If you want to build AI that drives meaningful business impact — not just demos — GEMGEM offers the ideal environment to create, ship, and lead. Role Overview We are looking for a talented Applied AI Engineer to join our growing team and take ownership of building and deploying AI/ML features across our platform. You will work closely with product, backend, and frontend teams to implement AI-driven solutions that improve user experience, automate internal processes, and drive platform growth. This role is ideal for a hands-on engineer with experience turning AI models into real, scalable product features. Key Responsibilities Develop and deploy production-ready AI/ML models for: Jewelry image classification and tagging Price recommendation and valuation Similarity search and duplicate detection Fraud risk scoring and anomaly detection Work with the product team to define requirements and scope for AI-driven features. Clean, process, and manage datasets (images, product metadata, pricing history). Use third-party APIs (e.g., OpenAI, AWS Rekognition, Hugging Face) when appropriate to accelerate delivery. Integrate AI models into the GEMGEM Laravel + Nuxt 3 platform in collaboration with backend/frontend teams. Develop scalable AI code optimized for production environments and collaborate closely with DevOps teams to ensure solutions are performant and reliably deployed at scale. Continuously monitor and improve model accuracy, performance, and cost-efficiency. Maintain documentation, version control, and reproducibility of model experiments. Required Skills & Qualifications Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related field. 2–5 years of hands-on experience in applied machine learning or computer vision. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or scikit-learn. Strong understanding of model development, evaluation metrics, and deployment practices. Experience deploying models in production systems, not just research or offline analysis. Knowledge of API integration and basic data engineering concepts. Preferred Qualifications Experience in e-commerce, C2C platforms, or image-heavy applications. Familiarity with tools like LangChain, OpenAI APIs, Hugging Face Transformers. Exposure to blockchain, smart contracts, or luxury product authentication a plus. Working knowledge of cloud infrastructure (AWS, GCP) and Docker. Work Environment & Benefits Remote work flexibility available for highly self-motivated, proven talent. Competitive compensation based on location and experience. Work with a global team of developers, designers, marketers, and operations staff. Be part of building something meaningful and globally scalable from the ground up. Show more Show less

🧾 Job Title: Business Analyst 📍 Location: Gurgaon 🕒 Experience Required: 2–3 Years 💼 Employment Type: Full-time 🎯 Job Overview Swaran Soft Support Solution Pvt Ltd is seeking a dynamic, forward-thinking Business Analyst with 2–3 years of experience , ideally in AI/ML-focused environments. The ideal candidate will have strong skills in requirement analysis, documentation, stakeholder collaboration , and hands-on exposure to AI technologies , including LLMs (Large Language Models), Prompt Engineering, and Agentic AI . This is a high-impact role that requires working closely with developers, data scientists, and project managers to ensure the successful design and delivery of intelligent business solutions. 📚 Key Responsibilities ✅ Requirement Gathering & Analysis Collaborate with business stakeholders to gather, define, and refine business and technical requirements. Identify gaps in existing workflows and recommend data-driven improvements, particularly leveraging LLMs and Agentic AI capabilities. ✅ Documentation & Process Mapping Prepare comprehensive BRDs, FRS, and User Stories with a clear understanding of AI-driven solution design. Create process maps, user flows, and wireframes to guide technical implementation. ✅ AI/ML & LLM Project Collaboration Work alongside AI/ML teams to: Define data inputs, expected model outcomes, and business impact. Collaborate on prompt engineering strategies for LLM applications (e.g., GPT, Claude, PaLM). Explore use cases for Agentic AI systems to automate decision-making and enhance customer/user experiences. Monitor and analyze AI/LLM outputs to ensure alignment with business goals. ✅ Prompt Engineering & LLM Optimization Draft and test prompts for different LLM-based use cases to improve output accuracy and utility. Develop prompt templates for reuse across departments and optimize based on iterative feedback. ✅ Stakeholder Communication & Alignment Act as the bridge between technical and non-technical teams to ensure common understanding and smooth delivery. Provide consistent progress updates and demos to internal teams and clients. ✅ Testing & Quality Assurance Support in UAT planning and execution, ensuring that LLM/AI-driven systems meet acceptance criteria. Track bugs and iterate with the dev team to improve solution robustness and performance. ✅ Research & Competitive Analysis Stay updated with the latest trends in AI, LLMs, Prompt Engineering, and Agentic AI. Analyze competitor solutions and recommend strategies for innovation and optimization. 🎓 Required Skills & Qualifications Bachelor’s degree in Computer Science, IT, Business Administration, or related fields. 2–3 years of experience in Business Analysis, especially in AI/tech environments. Strong understanding of AI/ML lifecycles, including LLMs, prompt engineering techniques, and agent-based AI systems. Familiarity with AI model structures, training data considerations, and performance metrics. Experience with tools like Jira, Confluence, Trello, SQL, and Excel for documentation and project tracking. Knowledge of process mapping tools (Lucidchart, Visio, etc.). Excellent analytical, problem-solving, and communication skills. 💡 Preferred Skills Certification in Business Analysis (CBAP/CCBA) or AI/ML (Coursera, edX, etc.). Knowledge of Agile/Scrum methodologies. Understanding of API integrations, predictive analytics, and data visualization tools. Exposure to Python, R, or other data analysis/programming languages. Experience with LLM platforms such as OpenAI, Hugging Face, Cohere, or Anthropic. 🚀 Why Join Us? 🌟 Be a pioneer in implementing LLM and Agentic AI in real-world business solutions. 🌟 Work on cutting-edge AI technologies in a collaborative environment. 🌟 Gain end-to-end exposure to AI solution delivery and innovation strategy. Show more Show less

Openings : 01 Experience : 2+ years Location : Surat - Varachha 5-Days Working Paid Leaves Complimentary Health Insurance Overtime Pay Fun Activities Personal Loan Employee Training Positive Work Environment Professional Developments Job Description We are looking for an experienced AI/ML cum Python Developer with 2+ years of hands-on work in machine learning, Python development, and API integration. The ideal candidate should also have experience building AI agents —smart systems that can plan tasks, make decisions, and work independently using tools like LangChain, AutoGPT, or similar frameworks. You’ll be part of a collaborative team, working on real-world AI projects and helping us build intelligent, scalable solutions. Job Responsibility Key Responsibilities: Develop, train, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Develop AI agents capable of decision-making and multi-step task execution Write efficient and maintainable Python code for data processing, automation, and backend services. Design and implement REST APIs or backend services for model integration. Handle preprocessing, cleaning, and transformation of large datasets. Evaluate model accuracy and performance, and make necessary optimizations. Collaborate with cross-functional teams including UI/UX, QA, and product managers. Stay updated with the latest trends and advancements in AI/ML. Key Performance Areas (KPAs) Development of AI/ML algorithms and backend services AI agent development and performance Model evaluation, testing, and optimization Seamless deployment and integration of models in production Technical documentation and project support Research and implementation of emerging AI technologies Key Performance Indicators (KPIs) Accuracy and efficiency of AI models delivered Clean, reusable, and well-documented Python code Timely delivery of assigned tasks and milestones Issue resolution and minimal bugs in production Contribution to innovation and internal R&D efforts Required Skills & Qualification Bachelor’s or Master’s degree in Computer Science, IT, or related field Minimum 2 years of experience in Python and machine learning Hands-on with AI agent tools like LangChain, AutoGPT, OpenAI APIs, Pinecone, etc. Strong foundation in algorithms, data structures, and mathematics Experience with Flask, FastAPI, or Django for API development Good understanding of model evaluation and optimization techniques Familiarity with version control tools like Git Strong communication and team collaboration skills Interview Process HR Round Technical Round Practical Round Salary Negotiation Offer Release Apply Job Show more Show less

Req ID: 284544 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Systems Integration Advisor -Technical Architecture-Cloud Services-AWS to join our team in Bangalore, Karn?taka (IN-KA), India (IN). Job Description: We are seeking a highly skilled and motivated Mid-Level AI/DS Specialist to join our dynamic team at NTT Data. The ideal candidate will have a strong background in artificial intelligence and data science, with expertise in natural language processing (NLP), generative AI (Gen-AI), and conversational AI. The candidate should be well-versed with the Microsoft AI platform, OpenAI, Databricks, Python, and common data science libraries and tools. Additionally, the candidate should be capable of fine-tuning large language models (LLMs) and familiar with AI/ML engineering and prompt engineering. Key Responsibilities: Develop and implement AI/DS solutions to enhance business processes and customer experiences. Utilize NLP, Gen-AI, and conversational AI techniques to build and optimize AI models. Work with the Microsoft AI platform, OpenAI, and Databricks to develop and deploy AI solutions. Write efficient and scalable code in Python, leveraging common data science libraries and tools. Fine-tune LLM models to meet specific project requirements. Collaborate with cross-functional teams to integrate AI/DS solutions into existing systems. Stay updated with the latest advancements in AI/DS and apply them to ongoing projects. Conduct prompt engineering to improve the performance and accuracy of AI models. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. Proven experience in AI/DS, with a focus on NLP, Gen-AI, and conversational AI. Proficiency in the Microsoft AI platform, OpenAI, Databricks, and Python. Strong knowledge of common data science libraries and tools. Experience in fine-tuning LLM models. Familiarity with AI/ML engineering and prompt engineering. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Python Software Development Sr.specialist Job Description In these roles, you will be responsible for: Design, implement, and test generative AI models using python and various frameworks such as Pandas, TensorFlow, PyTorch, and OpenAI. Research and explore new techniques and applications of generative AI, such as text, image, audio, and video synthesis, style transfer, data augmentation, and anomaly detection. Collaborate with other developers, researchers, and stakeholders to deliver high-quality and innovative solutions. Document and communicate the results and challenges of generative AI projects. Required Skills for this role include: Technical skills 5 to 7 years Experience in developing Python frameworks such DL, ML, Flask At least 2 years of experience in developing generative AI models using python and relevant frameworks. Strong knowledge of machine learning, deep learning, and generative AI concepts and algorithms. Proficient in python and common libraries such as numpy, pandas, matplotlib, and scikit-learn. Familiar with version control, testing, debugging, and deployment tools. Excellent communication and problem-solving skills. Curious and eager to learn new technologies and domains. Desired Skills: Knowledge of Django, Web API Proficient exposure on MVC. Preferences: Graduate degree in Computer Science with 4 years of Python based development. Gen AI Framework Professional Certification

Paid Internship | Remote We’re looking for a final-year student or recent graduate to join us as a full-stack intern specializing in Backend development. You’ll work directly with the founding team and get hands-on startup experience. Your responsibilities would include: LLM integrations (OpenAI, Gemini, etc.) Web scraping & browser automation (Playwright, Puppeteer, etc.) Backend API development (Node.js/Python) Structuring data pipelines for travel & points What we’re looking for: Strong backend fundamentals (Node.js, Python, etc.) Familiarity with scraping, automation, or LLMs Hunger to learn and ship real product Final-year undergrad or recent grad To apply, send your resume or GitHub to careers@acemytravel.com Show more Show less

Job Title: Blockchain Full-Stack Engineer – Web Wallet & Crypto Payments (NOIDPay) Location: Remote (India preferred) Compensation: ₹6–10 LPA (Full-time preferred for rapid growth; Part-time considered, minimum 20hr/week) Dealing Media is building NOIDPay—an advanced, web-based, seedless crypto payments gateway and wallet for real-world merchants, events, and creators. We’re seeking a top-tier Blockchain Full-Stack Engineer to take end-to-end ownership of our crypto stack: browser-based wallet (built on Burner Wallet 2.0), Bitcoin and EVM (Ethereum) support, API integrations (fiat onramp, DEX, and others), NFC/QR payment flows, and PostgreSQL-backed dashboards. Key Responsibilities Customize or extend open-source, seedless wallet solutions for multi-chain (EVM & Bitcoin) support Integrate approved APIs for instant fiat onramp/offramp and on-chain asset conversion Build dynamic payment link, QR, and NFC features for seamless merchant/user experience Develop robust admin/merchant dashboards (transaction history, compliance, fee management) Implement intermediary payment routing, auto-conversion (Uniswap/0x API), and 1% fee logic Ensure non-custodial security, encrypted backups, and seamless email/social wallet recovery Deliver polished UX for mobile and desktop browsers (PWA-ready; no app required) Maintain high security standards, code quality, and compliance Collaborate directly with the founder, advise on open-source tooling, and help drive the roadmap Potential to grow into a technical lead/CTO role as we expand Web3/payment products Must-Have Skills Advanced expertise in Blockchain Development, React.js, Node.js, PostgreSQL (or similar database), and AWS Proven experience modifying open source blockchain technology for both EVM and Bitcoin (bitcoinjs-lib or similar) Deep knowledge of payment processing and API integrations (DEX, compliance, KYC, etc.) Security-first, non-custodial wallet mindset —experience building secure, encrypted wallet solutions Real candidates will bring experience across EVM wallets, web-based payments, Bitcoin integration, API development, and crypto security. Practical experience building both browser-based EVM and Bitcoin wallets is strongly preferred, even if not all tags are matched. Please provide links to open source or demo projects—show us your most relevant work! Nice to Have Burner Wallet, Magic.link, or WalletConnect experience QR/NFC payment flows, PWA/mobile optimization Experience integrating AI tools (e.g., OpenAI Codex) into developer workflow Strong English and remote work discipline Why Join Us? Own a major wallet/payments product from day one Direct access to the founder, zero bureaucracy, fast execution Multiple projects and career growth path—expand into new Dealing Media products, not just one app Flexible, global-first remote environment Mission-driven: Make crypto usable for everyone, everywhere Allowance for AI tools and other resources to deliver your best work Ready to own your code, ship at scale, and shape the future of crypto payments? Apply with links to your wallet projects, API integrations, or open-source contributions. Show more Show less

Job Title - Microsoft Gen AI Marketing Strategy Lead – Senior Manager - GN SONG Management : 06 – Senior Manager Location: Delhi/ Mumbai/Bangalore/Gurgaon/Hyderabad Must have skills: Generative AI Good to have skills: knowledge of Microsoft’s marketing technology stack, including agentic AI solutions, to drive future-ready marketing organization strategies Job Summary: The Strategy & Consulting Global Network Song (S&C GN Song) practice works with clients across their marketing, sales and services and customer engagement functions. Our services help our clients become living businesses by optimizing their marketing, sales, and customer service strategy, thereby driving cost reduction, enhancing revenue, improving customer satisfaction, and impacting front end business metrics in a positive manner. We are seeking a visionary and strategic Senior Manager to lead our Microsoft GenAI-powered marketing strategy initiatives , driving enterprise-wide transformation for clients through the integration of agentic AI capabilities and future-fit marketing operating models . This role demands deep expertise in MarTech and AI/Gen AI strategy , paired with a passion for shaping the future of intelligent marketing organizations. You will bring together the best of Microsoft’s agentic suite, cloud technologies, and AI/GenAI capabilities to architect next-gen marketing ecosystems for global enterprises. You will act as a thought leader, trusted advisor, and transformation strategist , working closely with solution architects, Data & AI teams, Microsoft tech SMEs , and client stakeholders to deliver end-to-end value — from strategy to execution and build strong relationships to foster new business. Roles & Responsibilities: Bring a thought leadership lens to emerging technologies—translating GenAI trends, agentic workflows, and ecosystem capabilities into real-world, client-ready solutions. Lead the development of transformation strategies by integrating Microsoft Gen AI and agentic marketing capabilities into client ecosystems. Lead strategic assessments of current marketing capabilities and define GenAI-led reinvention roadmaps, future operating models, future-fit capabilities and process designs. Envisioning and engaging in client conversations on leveraging Microsoft’s GenAI and agentic capabilities to drive existing business relationships and build new opportunities. Collaborate closely with solution architects, Data & AI teams, and Microsoft SMEs to design and implement comprehensive, scalable marketing solutions. Guide clients through the design and implementation of future-fit marketing organization blueprints, enabling them to leverage cutting-edge technology and AI. Drive consultative selling and engagement with clients, identifying opportunities to bring Microsoft’s Gen AI solutions to solve their marketing challenges. Develop offerings and client solutions that align with Microsoft's ecosystem, ensuring they meet client needs while integrating AI-powered marketing strategies. Champion cross-functional collaboration across teams and stakeholders to ensure alignment and effective execution of marketing strategies. Build strong client relationships, influencing decision-making and guiding clients through digital transformation in marketing. Lead, Coach and build cross functional teams to embed Microsoft’s AI/GenAI capabilities into core ways of working across marketing services. Professional & Technical Skills: MBA from a Tier 1 institute with a focus in Marketing, Strategy, or Technology 13-20 years of experience with at least 4 years in marketing strategy, Gen AI, agentic AI, agency experience, and Marketing OS Experience. Proven experience in creating and executing GenAI-led marketing transformation strategies, with a focus on leveraging Microsoft’s Gen AI capabilities. In-depth knowledge of Microsoft’s marketing technology stack, including agentic AI solutions, to drive future-ready marketing organization strategies. Manage C Suite and identify and drive new business in Generative AI engagements. Strong background in consulting and developing client-centric solutions, combining the best of technology, AI, and martech to address complex marketing challenges. Hands-on experience with Agentic solutioning and architecture design, LLMs and Generative AI frameworks (OpenAI, Anthropic, etc.) Demonstrated expertise in cross-functional collaboration, working closely with technical teams (solution architects, Data & AI) and business teams to drive successful outcomes. Experience in consultative selling, working directly with clients to design, propose, and deliver transformation roadmaps that leverage Microsoft technologies. Solid understanding of change management methodologies, including the ability to lead clients through upskilling, transformation, and technology adoption. Analytical mindset and problem-solving skills, with the ability to identify opportunities for AI-powered optimization in marketing processes. Experience in working with clients across multiple industries like CPG, S&P, Finance, Lifesciences, etc. Additional Information: Accenture Strategy shapes our clients’ future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our Global Network – a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. About Our Company | Accenture Experience: Minimum 13– 20 years of experience is required Educational Qualification: MBA Show more Show less

Job Description As an AI Intern (AI Agent Developer Intern), you'll work at the cutting edge of AI automation and agent orchestration. This isn’t a research role—you’ll be building production-grade AI agents that solve real-world problems across domains like operations, education, sales, and personal productivity. You’ll work closely with our leadership team to prototype, iterate, and ship fast, owning your work from start to finish. Key Responsibilities Design and develop AI Agents using LangChain, CrewAI, LangGraph, AutoGen (A2A), ADK and similar other platforms Build and orchestrate agent workflows using tools like n8n, Airflow, or LangGraph DAGs Integrate APIs, databases, vector stores (e.g., Pinecone, Chroma, Weaviate), and tools like OpenAI, Claude, Mistral, HuggingFace, etc. Write clean, modular, and testable code in Python (TypeScript is a plus) Rapidly prototype agentic workflows, test edge-cases, and iterate based on feedback Collaborate with design and product teams to shape user-centric workflows Ship minimal, usable versions and continuously improve them based on usage analytics Maintain documentation and contribute to internal knowledge bases Requirements Strong hands-on coding skills, especially in Python Previous experience building with LangChain, LangGraph, CrewAI, or similar frameworks Familiar with agent orchestration, tool chaining, multi-agent systems Quick learner, adaptable to new frameworks and libraries Strong problem-solving skills and autonomy—able to take vague ideas to shipped features Comfortable working in a fast-paced, iterative startup environment Basic understanding of prompt engineering, LLM APIs, and memory management Exposure to n8n, Supabase, Firebase, PostgreSQL, Redis, or similar stacks Familiarity with version control (Git), basic CI/CD, and cloud platforms (Vercel, AWS, etc.) Show more Show less

Summary Position Summary Quality Software Engineer (AI Automation) – CL4 Role Overview : As a Quality Engineer specializing in artificial intelligence (AI) and Generative AI (GenAI) technologies, you will actively engage in your quality engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users while also driving tangible value for Deloitte's business investments. You will leverage your quality engineering craftsmanship across multiple quality assurance disciplines and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will have a background in quality assurance, test automation, and an understanding of AI and GenAI technologies. This role will be pivotal in enhancing our testing frameworks and ensuring the highest quality standards for our products. Key Responsibilities : Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop quality engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, AI-driven test automations. Technical Leadership and Advocacy: Serve as the quality advocate for products, ensuring high-quality automation coverage, appropriateness, feasibility, and alignment with business and customer goals. Design, develop, and maintain advanced automation frameworks to drive “Automation first mindset” using advanced techniques including BDD, AI and GenAI technologies to streamline and enhance the testing process. Engineering Craftsmanship: Maintain accountability for the integrity of test design, test automation, their ongoing maintenance and scale, as well as the quality of solutions. Stay hands-on, self-driven, and continuously learn new approaches, tools, techniques, and frameworks. Integrate AI and GenAI tools and techniques into existing testing processes to improve accuracy, efficiency, and coverage of automated tests. Customer-Centric Engineering: Develop lean quality engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, engineering, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess basic knowledge of modern quality engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using techniques like fully automated in-sprint testing to accept the stories and work products, powered by AI/GenAI, throughout the SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate an understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs and UX/UI designs into test automation. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence: Exhibit strong communication skills, capable of articulating complex technical concepts clearly and compellingly. Support teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team : US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes and leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Qualifications : A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. 5+ years of experience in quality assurance and test automation including coding the test scripts, with at least 1-2 years focused on AI and GenAI technologies. Hands-on experience with automation-first techniques like BDD and test automation tools like TOSCA, Selenium, Gherkin, Functionize, Testim, AccelQ. Experience with AI/GenAI tools and frameworks (e.g., TensorFlow, PyTorch, OpenAI, Python, etc.). Understanding of machine learning algorithms and their application in test automation. Experience with cloud hyper-scalers like Azure, AWS, and GCP. Good understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, ADO, GitHub, SonarQube, etc. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. How You will Grow: At Deloitte, our professional development plans focus on helping people at every level of their career to identify and use their strengths to do their best work every day and excel in everything they do. #CA-PS Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 303284 Show more Show less

Job Title: AI Developer Location: Pune (Hybrid), Bangalore, Coimbatore Budget: Up to 25 LPA Experience Required: 5 + years (Relevant AI Development Experience 2+) Work Mode: Onsite Job Summary: We are looking for an AI Developer with hands-on experience working with various AI tools, Proof of Concepts (POCs), and AI-driven projects. The ideal candidate should be proficient in designing, developing, and deploying AI solutions while collaborating with cross-functional teams. Strong problem-solving skills, a passion for AI innovation, and excellent communication abilities are essential. Key Responsibilities: AI Development & Implementation: Develop and implement AI/ML models and algorithms for real-world applications. Work on Proof of Concepts (POCs) and AI-based prototypes, translating ideas into deployable solutions. Optimize and fine-tune AI models for scalability, performance, and efficiency. Integrate AI technologies into existing business processes and software applications. AI Tools & Technology Stack: Hands-on experience with AI/ML tools, frameworks, and libraries such as TensorFlow, PyTorch, OpenAI, LangChain, and Hugging Face. Work with Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), and Computer Vision. Utilize cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment and scaling. Project Execution & Collaboration: Collaborate with data scientists, software engineers, and business teams to define AI-driven solutions. Work closely with stakeholders to understand business problems and develop AI-based recommendations. Participate in code reviews, debugging, and troubleshooting to ensure AI applications are robust. Communication & Documentation: Communicate AI concepts, technical findings, and project progress to technical and non-technical stakeholders. Document AI models, processes, and best practices for knowledge sharing. Candidate Requirements: Minimum of two years of relevant experience in AI/ML development. Strong experience in building AI-driven applications, POCs, and automation solutions. Hands-on expertise with AI tools, frameworks, and cloud platforms. Proficiency in programming languages such as Python, R, or Java for AI/ML model implementation. Experience in LLMs, NLP, Deep Learning, and Generative AI is preferred. Strong problem-solving and analytical skills to drive AI initiatives. Excellent communication skills to convey technical concepts to diverse audiences. Ability to work in a hybrid model from Pune (on-site and remote). Why Join Us? Opportunity to work on cutting-edge AI technologies and projects. Collaborative environment with AI experts and business leaders. A chance to drive AI innovation in a dynamic and fast-paced setting. Competitive salary package up to 15 LPA. Hybrid work model based in Pune. Show more Show less

We are seeking a highly experienced and strategic Data Scientist to drive impactful data science initiatives across our organization. This role will focus on solving complex business problems by leveraging predictive and generative AI, agentic AI workflows, and large-scale data analytics. The ideal candidate will have a strong background in both data science and engineering, along with hands-on experience in deploying AI solutions in production environments. Job Description: Key Responsibilities Identify high-impact business opportunities through deep data exploration, EDA, and model prototyping Translate business problems into scientific formulations and design data science solutions accordingly Discover and curate relevant datasets (structured & unstructured) aligned with business goals Lead the extraction, transformation, and compilation of data across multiple sources using tools like SQL, R, and Python Conduct rigorous statistical analysis and experimentation, driving hypothesis formulation and validation Automate analytics and reporting processes to ensure scalability, reduce manual effort, and spot anomalies Develop predictive models to support brand, creative, and audience strategies Analyze and interpret data trends over time to deliver actionable business insights Implement and fine-tune models in production, working closely with ML engineers and developers Deploy, monitor, and optimize predictive and generative AI models at scale Build agentic AI workflows that use contextual and real-time data to produce relevant and validated insights Fine-tune foundation models (e.g., LLMs) using proprietary datasets from multiple sources Integrate and orchestrate data flows across APIs and live feeds to centralize access and accelerate insights Champion model governance and performance tracking over time Collaborate with cross-functional teams (Strategy, Creative, Engineering, Marketing) to align on goals and deliverables Mentor junior data scientists and contribute to knowledge sharing and best practices Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related field 10+ years of professional experience in data science, including 3–5 years in a lead or principal role 2+ years of domain experience in marketing, creative advertising, or media agency context (highly preferred) Strong programming expertise in Python, with libraries such as pandas, NumPy, Matplotlib, Scikit-Learn, TensorFlow, PyTorch, and Keras Hands-on experience in machine learning and deep learning techniques (classification, regression, clustering, etc.) Expertise in both Predictive AI (Machine Learning / Deep Learning) and Generative AI solutions Experience with agentic AI workflows and reasoning models for insight generation Proficiency with cloud-based platforms like Azure ML, AWS Sagemaker, Azure OpenAI, AWS Bedrock, etc. Advanced SQL skills and experience working with structured and unstructured data Strong communication and leadership skills, with a proven ability to lead data science projects end-to-end Preferred Skills Experience building production-ready APIs or data pipelines for ML models Experience in NLP, LLM fine-tuning, and retrieval-augmented generation (RAG) Familiarity with MLOps and CI/CD workflows for model deployment and lifecycle management Strong stakeholder management and cross-functional collaboration skills Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

We are seeking a highly experienced and strategic Data Scientist to drive impactful data science initiatives across our organization. This role will focus on solving complex business problems by leveraging predictive and generative AI, agentic AI workflows, and large-scale data analytics. The ideal candidate will have a strong background in both data science and engineering, along with hands-on experience in deploying AI solutions in production environments. Job Description: Key Responsibilities Identify high-impact business opportunities through deep data exploration, EDA, and model prototyping Translate business problems into scientific formulations and design data science solutions accordingly Discover and curate relevant datasets (structured & unstructured) aligned with business goals Lead the extraction, transformation, and compilation of data across multiple sources using tools like SQL, R, and Python Conduct rigorous statistical analysis and experimentation, driving hypothesis formulation and validation Automate analytics and reporting processes to ensure scalability, reduce manual effort, and spot anomalies Develop predictive models to support brand, creative, and audience strategies Analyze and interpret data trends over time to deliver actionable business insights Implement and fine-tune models in production, working closely with ML engineers and developers Deploy, monitor, and optimize predictive and generative AI models at scale Build agentic AI workflows that use contextual and real-time data to produce relevant and validated insights Fine-tune foundation models (e.g., LLMs) using proprietary datasets from multiple sources Integrate and orchestrate data flows across APIs and live feeds to centralize access and accelerate insights Champion model governance and performance tracking over time Collaborate with cross-functional teams (Strategy, Creative, Engineering, Marketing) to align on goals and deliverables Mentor junior data scientists and contribute to knowledge sharing and best practices Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related field 10+ years of professional experience in data science, including 3–5 years in a lead or principal role 2+ years of domain experience in marketing, creative advertising, or media agency context (highly preferred) Strong programming expertise in Python, with libraries such as pandas, NumPy, Matplotlib, Scikit-Learn, TensorFlow, PyTorch, and Keras Hands-on experience in machine learning and deep learning techniques (classification, regression, clustering, etc.) Expertise in both Predictive AI (Machine Learning / Deep Learning) and Generative AI solutions Experience with agentic AI workflows and reasoning models for insight generation Proficiency with cloud-based platforms like Azure ML, AWS Sagemaker, Azure OpenAI, AWS Bedrock, etc. Advanced SQL skills and experience working with structured and unstructured data Strong communication and leadership skills, with a proven ability to lead data science projects end-to-end Preferred Skills Experience building production-ready APIs or data pipelines for ML models Experience in NLP, LLM fine-tuning, and retrieval-augmented generation (RAG) Familiarity with MLOps and CI/CD workflows for model deployment and lifecycle management Strong stakeholder management and cross-functional collaboration skills Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

Job Title: Gen AI Architect – Retail Technology Office About The Role We are seeking a visionary and hands-on Gen AI Architect to lead the design, development, and deployment of cutting-edge Generative AI and Agentic AI solutions in the Retail domain. This role is pivotal in shaping our AI strategy, building innovative offerings, and driving client success through impactful PoCs and solutions. The architect will work closely with the CTO and the Retail strategy office to define the AI roadmap, lead a team of engineers and architects, and represent the company in client engagements and industry forums. Key Responsibilities Architect and Lead the development of GenAI and Agentic AI solutions tailored for retail use cases (e.g., personalized shopping, intelligent agents, supply chain optimization). Collaborate with the CTO to define AI strategy, solution blueprints, and innovation roadmaps. Design and Build scalable PoCs, MVPs, and production-grade solutions using state-of-the-art GenAI tools and frameworks. Lead and Mentor a team of engineers and architects, fostering a culture of innovation, quality, and continuous learning. Engage with Clients to present PoVs, conduct workshops, and articulate the value of GenAI solutions with compelling storytelling and technical depth. Ensure Engineering Excellence by applying best practices in TDD, BDD, DevSecOps, and microservices architecture. Required Skills & Experience AI/ML & GenAI Expertise Proven hands-on experience with: LLMs (e.g., OpenAI, Claude, Mistral, LLaMA, Gemini) GenAI frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel Agentic AI tools: Google Agentspace, ADK, LangGraph, AutoGen, CrewAI, MetaGPT, AutoGPT, OpenAgents Vector databases: Vertex AI, FAISS, Weaviate, Pinecone, Chroma Prompt engineering, RAG pipelines, fine-tuning, and orchestration Engineering & Architecture Strong background in: Java Spring Boot, REST APIs, Microservices Cloud platforms: AWS, Azure, or GCP CI/CD, DevSecOps, TDD/BDD Containerization (Docker, Kubernetes) Leadership & Communication Exceptional storytelling and articulation skills to convey complex AI concepts to technical and non-technical audiences. Experience in client-facing roles, including workshops, demos, and executive presentations. Ability to lead cross-functional teams and drive innovation in a fast-paced environment. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field Certifications in AI/ML and Cloud (GCP or Azure) Experience in the Retail domain or consumer-facing industries is a strong plus Why Join Us? Be at the forefront of AI innovation in Retail Work with a visionary leadership team Build solutions that impact Cognizant’s Retail clients Enjoy a collaborative, inclusive, and growth-oriented culture Show more Show less