- Design, develop, and maintain AI-enabled full-stack applications using Python and React.js.

- Build scalable backend services using FastAPI and develop RESTful or GraphQL APIs.

- Develop responsive frontend applications using React.js and TypeScript.

- Integrate LLMs, RAG, and MCP into enterprise applications.

- Build and optimize AI workflows using LangChain, Amazon Bedrock, or similar AI frameworks.

- Develop containerized applications using Docker and deploy them on Kubernetes.

- Collaborate with product, AI, and engineering teams to design and deliver scalable solutions.

- Ensure application performance, security, scalability, and code quality.

- Participate in architecture discussions, code reviews, testing, and deployment activities.

Required Skills & Experience :

- 6 - 10 years of experience in Full Stack Development.

- Strong expertise in :

1. Python

2. React.js

3. FastAPI

4. TypeScript

5. REST APIs / GraphQL APIs

- Hands-on experience with :

1. Large Language Models (LLMs)

2. Retrieval-Augmented Generation (RAG)

3. Model Context Protocol (MCP)

- Experience with :

1. Docker

2. Kubernetes

- Strong understanding of software architecture, API design, and cloud-native development.

- Excellent analytical, problem-solving, and communication skills.

Preferred Skills :

- Amazon Bedrock

- LangChain

- Kafka

- AWS Cloud Services

- AI-powered application development

- Vector Databases (e.g., Pinecone, Weaviate, Chroma, FAISS)

- CI/CD pipelines and DevOps practices

Key Competencies :

- Python, React.js, FastAPI, TypeScript, REST APIs, GraphQL

- Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP)

- LangChain

- Amazon Bedrock

- Docker

- Kubernetes

- Kafka, AWS

- AI Application Development