Description

Key Skills: Python, FastAPI, GenAI, LLM APIs, MongoDB, LangChain, Multi Agent AI, Full Stack Development, RESTful APIs, Docker

Good to Have Skills: Familiarity with prompt engineering, embeddings, vector databases (like Pinecone, FAISS, Weaviate), UI/Angular knowledge, experience working on GenAI-driven UIs (chat interfaces, knowledge panels, QCA), knowledge of JWT, OAuth2, API rate limiting strategies, basic understanding of LLM token usage, context length constraints, and caching, experience with PostgreSQL or hybrid Mongo/Postgres data models, DevOps awareness: Kubernetes, cloud deployment (AWS/Azure/GCP).

Roles & Responsibilities:

• Build scalable and production grade AI systems involving big data queries for enterprise applications.
• Build MCP based Agentic AI chat bot dealing with intent classification, agent state management, and conversational flows.
• Build scalable REST APIs in FastAPI to integrate with LLM APIs from OpenAI, Claude, Azure OpenAI, and other providers.
• Manage and query structured and unstructured data in MongoDB for AI-powered applications and analytics.
• Work closely with AI engineers to productionize GenAI use cases including chatbots, summarization, classification, and embedding search.
• Design token-efficient API interactions and manage rate limits with LLM providers to optimize costs and performance.
• Optimize performance, latency, and reliability of AI-enhanced APIs for production-ready deployment and scalability.
• Maintain clean, secure, and testable code across backend and frontend systems following best development practices.
• Own end-to-end features from UX design to backend logic to API integration and deployment.

Experience Required: 7+ years of experience in full stack development with strong hands-on experience with FastAPI (or Flask/Django) and Python 3.x. Strong hands-on experience with LangChain, LangGraph, Agentic AI and OpenAI LLM. Strong hands-on experience with Multi Agentic AI systems and MCP based AI architectures. Solid experience with MongoDB including schema design and aggregation pipelines. Experience integrating with LLM APIs (e.g. OpenAI, Anthropic, Cohere, Mistral, Azure OpenAI, etc.). Deep understanding of RESTful API design and best practices. Git, Docker, and familiarity with CI/CD pipelines

Key Skills

Education

Any Graduate