Senior Engineer with Python, GenAI & Database systems
Core
Architect and implement scalable GenAI APIs and agentic AI chatbots to power intelligent applications for real users.
Role type
Senior GenAI Engineer (Full Stack)
Builds
Production-grade AI systems, MCP-based agentic chatbots, and REST APIs integrating LLMs.
Domain
Consumer Intelligence / Retail Analytics / Generative AI
Deliverable
production ML models | product features
Required skills
Python, FastAPI, MongoDB, LangChain, LangGraph, Agentic AI, Multi Agentic AI systems, MCP architectures, LLM API integration, RESTful API design, Docker, CI/CD
Preferred skills
Prompt engineering, Vector databases (Pinecone, FAISS, Weaviate), Angular, JWT, OAuth2, Kubernetes, Cloud deployment (AWS/Azure/GCP)
Technologies
FastAPI, Angular, MongoDB, LangChain, LangGraph, OpenAI, Anthropic, Cohere, Mistral, Azure OpenAI, Docker, Git, Kubernetes, AWS, Azure, GCP
Responsibilities
Build scalable REST APIs to integrate with LLM providers; Manage and query structured/unstructured data in MongoDB; Design token-efficient API interactions and manage rate limits; Optimize performance, latency, and reliability of AI-enhanced APIs; Own end-to-end features from UX to backend logic.
Seniority
Senior, hands-on IC