We are looking for a highly skilled Senior AI Backend Engineer with expertise in Python, FastAPI, AWS, Large Language Models (LLMs), and Agentic AI frameworks. The ideal candidate will design, develop, and deploy scalable AI-powered applications, build intelligent autonomous agents, and integrate LLMs into enterprise solutions while ensuring high performance, security, and scalability.
Key Responsibilities
- Design and develop scalable backend applications using Python and FastAPI.
- Build and deploy LLM-powered applications using OpenAI, Claude, Gemini, Llama, or similar models.
- Develop Agentic AI workflows using frameworks such as LangGraph, CrewAI, AutoGen, or LangChain Agents.
- Design and implement RAG (Retrieval-Augmented Generation) pipelines with vector databases.
- Integrate AI services with REST APIs and enterprise applications.
- Deploy and manage AI applications on AWS (EC2, Lambda, ECS/EKS, S3, API Gateway, Bedrock, CloudWatch, IAM).
- Optimize prompt engineering, model performance, latency, and cost.
- Implement authentication, monitoring, logging, and security best practices.
- Collaborate with cross-functional teams to deliver production-ready AI solutions.
Required Skills
- Strong experience in Python.
- Hands-on expertise in FastAPI.
- Experience with AWS services (Lambda, EC2, ECS/EKS, S3, API Gateway, Bedrock, CloudWatch, IAM).
- Strong understanding of LLMs (OpenAI, Claude, Gemini, Llama).
- Experience building Agentic AI applications using LangGraph, CrewAI, AutoGen, or LangChain.
- Knowledge of RAG, embeddings, prompt engineering, and vector databases (FAISS, Pinecone, Chroma, Weaviate).
- Experience with REST APIs, Git, Docker, and CI/CD pipelines.
- Familiarity with SQL/NoSQL databases.
Preferred Skills
- Knowledge of Kubernetes and container orchestration.
- Experience with AI observability and evaluation tools.
- Exposure to MLOps and model deployment.
- Experience with Azure OpenAI or Google Vertex AI is a plus.
Pay: ₹50,000.00 - ₹100,000.00 per month
Benefits:
- Paid sick time
- Provident Fund
Work Location: In person
