Immediate Start AI Full Stack Developer

1 week ago

Bengaluru, India Movate Full time

Job Description – AI Full Stack Developer (2–5 years) Position: AI Full Stack Developer Experience: 2–5 years Employment Type: Full-time Location: Bangalore, Chennai, Hyderabad About the Role We 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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