Senior Python AI Engineer - Backend Applications

Experience: 8+ Years

Job Summary:

We are looking for a highly experienced Senior Python Engineer / Agentic AI Engineer with 8+ years of software development experience to build scalable, production-grade AI-enabled applications.

The ideal candidate should have strong Python engineering fundamentals along with hands-on experience in LLMs, AI Agents, Agentic AI, RAG, and AI application development.

Key Responsibilities:

- Design and develop scalable backend applications using Python.

- Build high-performance REST APIs and AI-enabled services.

- Develop and integrate LLM-based applications and AI agents.

- Design agentic workflows, tool calling, orchestration, and multi-agent systems.

- Implement RAG pipelines using vector databases and knowledge bases.

- Integrate LLMs with enterprise applications and external services.

- Develop asynchronous and distributed processing systems.

- Optimize application performance, scalability, reliability, and cost.

- Implement evaluation, monitoring, observability, and security for AI systems.

- Troubleshoot complex production issues and provide long-term solutions.

- Collaborate with engineering, product, and AI teams.

- Mentor junior engineers and contribute to technical architecture and standards.

Required Skills:

- 8+ years of strong software engineering experience

- Excellent Python programming and architecture skills

- Strong experience with Django / FastAPI / Flask or similar frameworks

- REST API and microservices development

- Asynchronous programming and distributed systems

- Database integration SQL/NoSQL

- Strong understanding of scalable backend architecture

- Hands-on experience with LLMs and Generative AI

- Experience building AI Agents / Agentic AI solutions

- RAG and vector databases

- API/tool calling and workflow orchestration

- Production deployment and troubleshooting

Good to Have:

- Experience with one or more of:

1. LangGraph

2. LangChain

3. CrewAI

4. AutoGen

5. OpenAI / Anthropic / Gemini or similar LLM APIs

6. Vector databases such as Pinecone, Weaviate, Qdrant, Milvus, Chroma

7. Docker / Kubernetes

8. AWS / Azure / GCP

9. CI/CD and MLOps/LLMOps

10. AI evaluation and observability platforms

Skills

Python, Generative AI, Agentic AI, AI Integration, LangChain, REST API, Microservices Architecture, Distributed Computing, NoSQL