Senior Software Engineer
Job Description
Senior Python GenAI Engineer, Pune, Maharashtra
About the Role:
We're building the next generation of intelligent applications powered by LLMs and GenAI. Join our AI product team as a GenAI Engineer where you'll architect and implement APIs using FastAPI, create engaging frontends with Angular, and work with MongoDB as the primary data store. Your code will directly power AI experiences for real users.
What You'll Do:
- Build scalable and production grade AI systems involving big data queries.
- Build MCP based Agentic AI chat bot dealing with intent classification, agent state management, etc.
- Build scalable REST APIs in FastAPI to integrate with LLM APIs (OpenAI, Claude, Azure OpenAI, etc.)
- Manage and query structured/unstructured data in MongoDB
- Work closely with AI engineers to productionize GenAI use cases (chatbots, summarization, classification, embedding search)
- Design token-efficient API interactions and manage rate limits with LLM providers
- Optimize performance, latency, and reliability of AI-enhanced APIs
- Maintain clean, secure, and testable code across backend and frontend
- Own end-to-end features: from UX to backend logic to API integration
Must-Have Skills:
- 7+ years of experience in full stack development
- 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.
- Strong hands-on experience with 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
Nice to Have:
- 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)
More Info
Key Skills
About Company
Skills:
Rust, Docker, Kubernetes, Python, AWS, Angular, audit logging, Relational Databases, infrastructure-as-code tooling
Skills:
.Net Core, Angular, React, Javascript, Docker, MySQL, Python, AWS, Oauth, Graphql, Node.js, Jwt, Apache, Google Cloud, Sql, Django, Jenkins, jQuery, Git, Vue.JS, Html5, MongoDB, Azure, Kubernetes, GitLab CI
Skills:
Git, Linux, Docker, FastAPI, Rest Apis, Azure, Python, AWS, embeddings, vector databases, LLM APIs, RAG pipelines
Skills:
Enterprise Integration Patterns (EIP), Java, Docker, Rest Apis, Kubernetes, Event-Driven Architecture, AWS Cloud Services, Platform governance practices, Boomi or similar middleware integration platforms, Observability monitoring logging, Asynchronous integrations, Security authentication and authorization mechanisms, messaging systems
Skills:
.NET, .Net Core, Design Patterns, Angular, Microservices, Nosql, Solid Principles, React, Typescript, Javascript, Docker, Agile, Scrum, Web Apis, Css3, Oop, Git, Html5, Rest Apis, Kubernetes, SQL databases, Kanban, Clean Code, ASP.NET Core