Application Development

Full Stack Engineer

Experience Required: 8+ years

Full Stack Engineer for an enterprise AI-powered metadata management platform. 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)
• 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
• 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)
• 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