Python + Gen AI

Job Description

We are looking for an experienced Python Full Stack – GenAI / Agentic AI Engineer with 5+ years of experience in software development and strong hands-on expertise in Python backend development, React JS, Generative AI, and Agentic AI.

The ideal candidate should have experience building scalable backend services, modern web applications, and AI-powered applications using LLMs, RAG, agentic frameworks, and cloud platforms.

Key Responsibilities

Design, develop, and maintain scalable backend applications using Python.

Develop robust REST APIs and microservices using FastAPI, Flask, or Django.

Design API architecture, authentication mechanisms, error handling, and integrations.

Develop responsive and interactive frontend applications using React JS.

Work with React components, hooks, state management, and API integrations.

Build and integrate Generative AI OR Agentic AI applications using LLMs.

Develop AI agents using frameworks such as LangChain and LangGraph.

Implement RAG, embeddings, vector search, tool calling, memory, planning, and reasoning.

Design and implement multi-agent systems and AI workflows.

Apply prompt engineering techniques and appropriate guardrails for AI applications.

Integrate AI applications with cloud-based AI platforms and services.

Deploy applications using containers and cloud platforms.

Work with CI/CD pipelines and application monitoring.

Collaborate with cross-functional teams to design and deliver scalable solutions.

Required Skills

7+ years of overall software development experience.

Strong hands-on experience in Python.

Strong experience with FastAPI and REST API development.

Experience with microservices architecture and API design.

Hands-on experience with React JS.

Strong experience in Generative AI / LLM applications.

Hands-on experience in Agentic AI development.

Experience with LangChain / LangGraph.

Strong understanding of RAG, embeddings, vector search, and tool calling.

Experience with multi-agent systems, memory, planning, and reasoning.

Experience with at least one major cloud platform – AWS / Azure / GCP.

Experience with containers, CI/CD, deployment, and monitoring.

Preferred Skills

Google ADK

Semantic Kernel

Azure OpenAI

Vertex AI

AWS Bedrock

Docker / Kubernetes

AI application monitoring and observability

Frontend testing and application performance optimization