Full Stack + Gen Ai Engineer (Yelahanka)

Full Stack + Gen Ai Engineer (Yelahanka)

09 Sep
|
YMinds.AI
|
Yelahanka

09 Sep

YMinds.AI

Yelahanka

Our client is seeking a skilled Full Stack + Gen AI Developer with 3–5 years of experience building scalable web applications and AI-powered products.

The ideal candidate should have strong hands-on expertise in MongoDB, Express.Js, React.Js, Node.Js, TypeScript, Python, and FastAPI, along with practical experience integrating Generative AI, LLMs, RAG pipelines, vector databases, and agentic AI workflows into production applications.

Key Responsibilities
- Build scalable full-stack applications using React.Js, TypeScript, Node.Js, Express.Js, Python, and FastAPI.
- Develop responsive, reusable, and high-performance user interfaces.
- Build secure REST APIs, microservices, and backend services.
- Develop and integrate LLM-powered features, RAG pipelines, vector search, and AI agents.
- Manage application data using MongoDB and integrate AWS cloud services.
- Own features across design, development, testing, deployment, and production support.
- Follow engineering best practices, including code reviews, automated testing, Git, and CI/CD.

Required Skills

1.



Full-Stack Development: 3–5 years of experience building scalable full-stack applications, with strong end-to-end feature development and software engineering fundamentals.
2. Frontend Development: Strong hands-on expertise in React.Js, TypeScript, JavaScript, HTML, CSS, state management, responsive design, and component-based architecture.
3. Backend and API Development: Solid experience with Node.Js, Express.Js, Python, and FastAPI, including building REST APIs, microservices, authentication, authorization, and third-party integrations.
4. Generative AI Development: Practical experience developing Generative AI and LLM applications using LangChain, LangGraph, RAG, prompt engineering, embeddings, vector databases, semantic search, and agentic AI workflows.
5. Database, Cloud and DevOps: Hands-on experience with MongoDB, data modelling, aggregation pipelines, AWS services such as S3 and Lambda, Docker, Git, aut

📌 Full Stack + Gen Ai Engineer (Yelahanka)
🏢 YMinds.AI
📍 Yelahanka

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