Job Description :

Responsibilities :

- Build backend services using Node.js, NestJS, TypeScript.

- Develop REST APIs and microservices integrating with internal and external systems.

- Implement GenAI capabilities :

1. LLM integrations (OpenAI / Azure OpenAI)

2. RAG pipelines (indexing, embeddings, vector search)

3. AI Search, content moderation, prompt workflows

4. Agent-based task execution (multi-step agents, tool calling, orchestration)

5. Using MCP (Model Context Protocol) for structured tool integrations

- Work with Azure services (Cosmos DB, Storage, AI Search, Azure OpenAI).

- Strong understanding of secure auth using JWT, OIDC/SAML, enterprise IdPs (Azure AD/Okta).

- Participate in CI/CD using Jenkins, Docker, AKS, ArgoCD/Harness.

- Implement caching strategies for performance and cost optimization :

1. Redis / in-memory caching

2. Vector cache for RAG and LLM responses

3. API response caching

Required Skills :

- Strong hands-on with Node.js, NestJS, TypeScript.

- Practical experience integrating with LLMs and GenAI APIs.

- Solid understanding (hands-on preferred) of :

1. RAG architecture (retrievers, rankers, vector stores)

2. Agent frameworks (tools, actions, planning, memory)

3. MCP tooling, server-provider integrations

4. Embedding models, tokenization, prompt design

- Experience with Azure cloud and NoSQL (Cosmos DB).

- Familiar with secure API design and microservices patterns.