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We are looking for an experienced Senior Python Full Stack Developer with expertise in Agentic AI to design and build intelligent, autonomous systems that can reason, plan, and execute complex workflows. The ideal candidate will have strong experience in Python, REST APIs, and modern AI frameworks such as LangChain, LangGraph, AutoGen, or CrewAI, along with exposure to LLM integrations and RAG pipelines.
Job Responsibility:
Design, develop, and deploy autonomous AI agents capable of decision-making, reasoning, and task execution
Implement multi-agent workflows and orchestration patterns
Integrate Large Language Models (LLMs) such as GPT or Claude using Retrieval-Augmented Generation (RAG)
Connect AI agents with internal tools, APIs, and vector databases
Build scalable backend services using Python and RESTful APIs
Develop end-to-end features across the application stack
Write clean, reusable, and efficient code using OOP principles
Use frameworks such as LangChain, LangGraph, AutoGen, or CrewAI
Design prompt engineering strategies and agent memory architectures
Optimize AI systems for scalability, reliability, and performance
Deploy solutions using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure)
Implement logging, monitoring, and evaluation frameworks for AI agents (AgentOps)
Continuously improve agent accuracy, response quality, and efficiency
Requirements:
Strong programming expertise in Python (OOPs)
Experience building RESTful APIs and microservices
Knowledge of asynchronous programming
Hands-on experience with LangChain, LangGraph, AutoGen, or CrewAI
Understanding of LLM integration and RAG architectures
Experience with prompt engineering and agent design patterns
Experience with Vector Databases (Pinecone, Chroma, FAISS, etc.)
Strong knowledge of SQL and NoSQL databases
Experience with AWS, Azure, or GCP
Familiarity with Docker and Kubernetes
Nice to have:
Experience with multi-agent collaboration frameworks
Knowledge of AI observability tools
Experience working in Agile development environments