GEN AI Engineer

Role Overview:We are seeking intermediate Software Engineers who can contribute across services APIs and Azure cloud components. Build critical services such as data ingestion vector indexing retrieval APIs inference orchestration and human validation closely with an Engineering Lead AI Engineers and QA as a part of an iterative delivery model.

Key Responsibilities: Seems FSD skills

Backend & Cloud Services - Build microservices for:

SharePoint delta ingestion (Graph API)

Data normalization and Blob ingestion

Embedding and vector indexing via Azure OpenAI Cognitive Search

Retrieval and scoring pipelines (hybrid vector keyword search)

RAG-based inference orchestration

Feedback ingestion services (SQL EventHub Service Bus)

Implement APIs using Python / NodeJS (project-lead preference will define the final stack)

Implement secure access via Azure AD Managed Identities and Key Vault

Integrate parallel search workflow (existing partial search) with new AI inference pipelines

Data Engineering: Seems Data Engineer skills

Build and enhance pipelines using:

Azure Functions

Azure Data Factory

Azure EventHub / ServiceBus

Create schemas and objects for the feedback loop database (Azure SQL)

Ensure proper handling of PII masking and secure data retention policies

DevOps & Testing: Seems DevOps skills

Contribute to IaC deployments (Terraform)

Write Unit / Integration tests

Participate in performance tuning and load testing for inference services

Support CI/CD pipelines using Azure DevOps

Documentation & Architecture Help maintain the C4 diagrams API contracts sequence diagrams and operational run books

Required Skills: Technical: Seems more FSD skills

4 years of experience building backend services (Python preferred NodeJS / Java / .NET accepted)

Hands-on development with Rest APIs server less functions microservices AI based development like LLM Semantic searches Vectors RAG MCP Orchestration using Lang smith or similar

Practical experience with Azure (Functions storage Key Vaults Cognitive Services Azure Foundry etc.)

Strong understanding of scalable and distributed systems async workflows event-based services etc.

Experience with databases

Familiarity with search and indexing systems (Cognitive Search Elastic Search etc.)

Good understanding of authentication (OAuth2 Machine to Machine tokens Azure AD etc.) and secure coding practices

Experience needed with Azure OpenAI LangChain Vector Storage Embedding pipelines

Familiarity with RAG Architectures

Nice to have:

Experience with SharePoint Graph API Web-hooks etc.

Prior experience in ML operations (Azure ML pipelines etc.) is a Plus