Full Stack Engineer

Hi,

We are looking for 13+ years of exp candidate

Mandate : Python Coding + Logic , React , AWS , FastAPI

Experience Required:

Full Stack Engineer for an enterprise AI-powered Semantic layer. This is a hands-on development role requiring someone who can actively build and deliver features across the full stack.

The candidate will contribute to scalable solutions, write clean production-ready code, and collaborate effectively with product, data, and AI teams.

Required Skills Backend (Core) - Python – FastAPI / Django / Flask - RESTful APIs – Design and implementation - SQLAlchemy ORM - Async programming (async/await) AI / ML Integration - LangChain or LLM orchestration frameworks - OpenAI API integration experience - Prompt engineering and embeddings - Semantic search implementation Specialized Databases - Neo4j or graph databases (Cypher) - Vector databases (Pinecone, Weaviate, pgvector) Frontend (Core) - React – Modern React with hooks - JavaScript / TypeScript - State management (Redux / Context API) - Material-UI or similar component libraries Database - PostgreSQL – Production experience, query optimization - SQL – Complex queries, indexing, schema design Cloud & DevOps - AWS

Hands-on with multiple services (EC2, S3, Lambda, Glue, EKS) - Docker – Containerization - Kubernetes / EKS – Container orchestration - CI/CD – Jenkins / GitLab / GitHub Actions Architecture - Microservices –

Experience working in distributed systems - System design – Scalability, performance, reliability - API patterns – REST best practices Data Engineering - AWS Glue or Apache Spark - ETL / ELT pipelines –

Data profiling and quality assessment

Key Responsibilities

Hands-On Development – Implement features across frontend (React) and backend (Python/FastAPI) - Optimize performance of APIs, database queries, and UI components – Debug and resolve production issues –

Write clean, maintainable, well-tested code Collaboration – Translate product requirements into technical implementations –

Work closely with product, data, and AI teams - Participate in design reviews and technical discussions - Follow established coding standards and best practices