AI Full Stack Developer
2 weeks ago
Job Description – AI Full Stack Developer (2–5 years)Position: AI Full Stack DeveloperExperience: 2–5 yearsEmployment Type: Full-timeLocation: Bangalore, Chennai, HyderabadAbout the RoleWe are seeking a highly motivated AI Full Stack Developer with 2–5 years of experience in building scalable AI-powered applications. The ideal candidate should have strong expertise in Python, experience in Generative AI (GenAI), Agentic AI frameworks, and hands-on skills in both frontend and backend development.This role involves developing intelligent applications, integrating AI models with modern web technologies, and contributing to building end-to-end AI-driven products.Key Responsibilities- Design, develop, and deploy end-to-end AI applications leveraging GenAI and Agentic AI frameworks.- Implement and fine-tune LLMs (Large Language Models) using frameworks like LangChain, LlamaIndex, Haystack, DSPy, etc.- Build AI agents and workflows with autonomous/agentic orchestration capabilities.- Develop backend services and APIs in Python (FastAPI, Flask, or Django) for AI model integration.- Design intuitive and responsive frontend applications using React.js/Next.js.- Work with databases (SQL & NoSQL) for efficient data storage and retrieval.- Integrate external APIs, vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus), and knowledge graphs.- Collaborate with data scientists, ML engineers, and product teams to deliver AI-powered features.- Optimize AI workloads for scalability, cost-efficiency, and performance on cloud platforms (AWS, Azure, GCP).- Stay updated with the latest trends in GenAI, Agentic AI, and MLOps practices.Required Skills- Programming: Strong proficiency in Python (AI/ML + backend development).- AI/ML: Experience with Generative AI (LLMs, Diffusion models, Transformers).- Agentic AI: Hands-on with frameworks like LangChain, AutoGen, CrewAI, or Semantic Kernel.- Frontend Development: Proficiency in React.js/Next.js, HTML, CSS, JavaScript/TypeScript.- Backend Development: Experience with FastAPI, Flask, or Django.- Databases: MySQL/PostgreSQL, MongoDB, Redis, ArangoDB and vector DBs (Pinecone, FAISS, Milvus).- MLOps/Deployment: Familiarity with Docker, Kubernetes, CI/CD pipelines, cloud (AWS/Azure/GCP).- Version Control: Git, GitHub/GitLab.- Problem-Solving: Strong analytical and debugging skills.Preferred Skills (Good to Have)- Experience with RAG (Retrieval Augmented Generation) pipelines.- Knowledge of prompt engineering and LLM fine-tuning.- Exposure to multi-agent AI systems.- Familiarity with graph databases (Neo4j , ArangoDB).- Experience in building AI chatbots, copilots, or autonomous agents.- Understanding of security and compliance in AI applications.Education- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
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