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GAUDE BUSINESS SOLUTIONS (P) Ltd

Ground Floor, Amstor House, Technopark Phase 1, Trivandrum, Kerala, India , 695581

Full Stack AI Engineer (Python & React)

Closing Date:23,Apr 2026
Job Published: 13,Apr 2026

Brief Description

We are looking for a product-minded Full Stack Engineer who is passionate about the intersection of traditional web development and Generative  AI. You will be responsible for building scalable backend services, integrating LLMs, and crafting intuitive user interfaces. You don't need to be a DevOps wizard, but you should be a master of building robust, AI-powered applications.

Key Responsibilities

  • AI & Backend: Build and scale asynchronous APIs using Python 3.12+ and FastAPI.
  • LLM Integration: Implement RAG (Retrieval-Augmented Generation) pipelines and integrate with providers like OpenAI and Claude using structured outputs and tool calling.
  • Data Management: Design and optimize relational schemas in PostgreSQL and utilize pgvector for vector embeddings and semantic search.
  • Frontend: Develop responsive and high-performance interfaces using React and Next.js, ensuring a seamless connection between the UI and AI-driven backends.
  • Async Processing: Manage background tasks and real-time event handling using Redis or Celery.


Preferred Skills

Technical Requirements                 

1. Backend (The Core)

  • Python Mastery: Strong experience with Python 3.10+, specifically with async/await, type hinting, and Pydantic.
  • Frameworks: Deep knowledge of FastAPI or Flask/Django.
  • Database: Solid SQL skills with PostgreSQL. Experience with vector databases (chromadb, pgvector, Pinecone, or Weaviate) is a major plus.

 

 

2. AI & Data

  • RAG Architecture: Practical experience building RAG pipelines (document chunking, embedding generation, and retrieval).
  • Agentic Frameworks: Experience with (or strong interest in) LangChain, LangGraph, or CrewAI.
  • Prompt Engineering: Ability to design, test, and version-control complex prompts for structured data extraction.

3. Frontend

  • React/Next.js: Proficiency in building modern UIs with TypeScript.
  • State Management: Experience with TanStack Query (React Query) or similar for efficient data fetching.

4. Deployment & Tools (The Basics)

  • Docker: Ability to containerize applications for local development and production.
  • CI/CD: Basic understanding of GitHub Actions or similar tools.
  • Cloud: Familiarity with deploying applications on AWS or GCP (App Engine, Cloud Run, or Lambda/ECS).

Nice to Have

  • Knowledge of Agentic workflows (stateful agents that can use tools).
  • Experience with WebSockets for streaming AI responses in real-time.
  • Familiarity with NoSQL options like Redis Stack or MongoDB.

Who You Are

  • You have 3–5 years of professional experience building and shipping web products.
  • You are an AI-first thinker who stays updated with the latest LLM research and tools.
  • You prefer writing clean, maintainable code over complex, over-engineered infrastructure.

Experience: 3–5 Years
Location: Technopark
Focus: Backend (70%), Frontend (30%)