Backend Developer, Python / Fastapi / Agentic Systems

We are looking for a Backend Developer with strong experience in Python, Fast API, web application backends, and agentic AI systems .

will involve building scalable backend services, APIs, workflow automation systems, and AI-powered applications that integrate with LLMs, tools, databases, and external services.

Build and maintain backend services using Python and Fast API . Design clean, scalable, and secure REST APIs. Develop backend systems for web applications, dashboards, and internal tools. Work on AI-powered workflows, agentic systems, and LLM-based applications. Integrate with third-party APIs, databases, vector databases, queues, and cloud services. Build systems that can call tools, manage workflows, process documents, and automate business tasks. Implement authentication, authorization, logging, monitoring, and error handling. Write clean, maintainable, and well-documented code. Collaborate with frontend developers, product teams, and AI engineers. Optimize backend performance, reliability, and scalability. Participate in architecture discussions and technical planning. Requirement 3 to 6 years of backend development experience. Strong hands-on experience with Python and Fast API . Experience building production-grade web application backends. Good understanding of REST APIs, async programming, background jobs, and backend architecture. Experience with databases such as Postgre SQL, My SQL, Mongo DB, or similar. Experience with ORMs such as SQLAlchemy, SQLModel, or similar. Familiarity with Redis, Celery, queues, workers, or event-driven systems. Experience integrating external APIs and third-party services. Practical experience with LLM applications, AI agents, RAG, tool calling, or workflow automation. Understanding of authentication, role-based access control, API security, and data validation. Familiarity with Docker, Git, CI/CD, and cloud deployment. Strong problem-solving skills and ability to work independently.

Experience with Lang Chain, Lang Graph, Llama Index, Crew AI, Auto Gen, or similar agent frameworks. Experience with Open AI, Anthropic, Gemini, or other LLM APIs. Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, or pgvector. Experience building multi-agent systems or workflow orchestration platforms. Knowledge of Web Sockets, streaming APIs, and real-time applications. Familiarity with AWS, GCP, Azure, or Kubernetes. Experience with frontend collaboration using React, Next.js, or similar frameworks. Exposure to observability tools, structured logging, and production monitoring. Interested Candidate share their resumes at hr@namasys.ai