Role & responsibilities
Develop production-grade backend applications using Python and FastAPI.
Build LLM-powered applications and RAG workflows, including document ingestion, embeddings, vector retrieval and LLM API integration.
Work with vector databases such as Pinecone, Weaviate or pgvector.
Design, develop and integrate REST APIs and external systems.
Build product integrations, data pipelines and data-processing workflows.
Work with relational, document and graph databases based on application requirements.
Build frontend features using React.js and JavaScript.
Write clean, maintainable code with unit and integration tests.
Follow Git-based development practices, including branching, pull requests and code reviews.
Participate in CI/CD and deployment activities.
Use AI-assisted development tools while maintaining code quality.
Work directly with client stakeholders and collaborate with the engineering team to deliver production-ready solutions.
Preferred candidate profile
3 to 6 years of software development experience, with solid hands-on Python and FastAPI skills.
Hands-on experience building LLM-powered applications and RAG workflows is a core requirement.
Practical knowledge of embeddings, vector search, retrieval pipelines and LLM API integration.
Experience with vector databases such as Pinecone, Weaviate or pgvector.
Strong understanding of REST API design and integration.
Experience with databases such as PostgreSQL, MongoDB or Neo4j.
Working knowledge of React.js and JavaScript to independently deliver frontend features.
Solid knowledge of Git, testing, code reviews and maintainable software design.
Comfortable working directly with clients and adapting to evolving requirements.
Available to work onsite in Bengaluru.
Immediate joiners preferred.