AI Engineer

Position: AI Engineer - 4 to 10 years experience
Role

Summary:

AI Engineer (4-10 years of experience)
Work from office.
We are seeking AI Developers to join the AI Lab team in a  GCC based in Pune

Ideal Candidate
The ideal candidate is passionate about AI and software development, with a strong track record in building production-grade AI-powered applications. You will own end-to-end delivery of AI features, from data ingestion and model integration to frontend delivery and observability. In this role, you will work under the responsibility of the Head of AI Lab. This position is English-only and requires deep expertise with Azure OpenAI service, and modern frontend development using Next.js.

You will collaborate in a fast-moving, cloud-first, Dev Ops-focused environment, using Git Hub, Jira, and related tooling.

Key Responsibilities
Design and implement AI-powered features and services using  Azure AI Foundry, Azure OpenAI, Azure AI Search, embeddings, RAG (Retrieval-Augmented Generation), MCP (Model-Context Protocol), and A2A (Agent-to-Agent)  workflows.
Build end-to-end solutions that combine data ingestion, model inference, retrieval, and conversational UX.
Develop robust  backend services with .NET/C#, Python, build high-performance APIs and scalable data pipelines.
Build and maintain user-facing frontend applications with  Next.js (React-based),  ensuring a polished, accessible, and responsive experience.
Integrate AI capabilities with existing enterprise systems and data sources; work with APIs, data lakes (Palantir), and storages in Azure.
Implement and maintain CI/CD pipelines (Git Hub Actions) for automated testing, deployment, and monitoring.
Apply Dev Ops practices to ensure reliability, observability, security, and governance oAzure AI Foundry technologies, f AI apps (logging, metrics, tracing, AI transparency).
Collaborate with cross-functional teams (product, data science, security, UX designers, operations, enterprise architects, …) to deliver business value and improve end-user experiences.
Promote a cloud-first strategy and AI governance within the organization; ensure compliance with security, privacy, and regulatory requirements.
Produce clear technical documentation and communicate progress, risks, and architectural decisions to stakeholders.

Required Qualifications
Strong proficiency in AI-enabled software development and deployment on  Microsoft Azure.
Deep experience with Azure AI Foundry components and workflows (Azure OpenAI Service, Azure AI Search, Embeddings, MCP, A2A, vector databases, etc.).
Expertise in building production-grade AI apps:  model integration, prompt design, retrieval pipelines, vector stores, and monitoring.
Proficiency in  C#, Python, and Type Script  with modern web development.
Frontend expertise with  Next.js (React);  strong eye for UX, performance, and accessibility.

Experience with Generative AI technologies, including OpenAI API usage, prompt engineering, and multi-model orchestration; MCP and A2A capabilities.
Solid knowledge of Azure ecosystem (Azure Functions, App Service, Storage, Identity, Networking) and MS 365 ecosystem.

Experience with Infrastructure as Code (Terraform) and cloud-native security practices.

Experience with CI/CD using Git Hub Actions; containerization (Docker, Kubernetes) is a plus.
Strong problem-solving, debugging, and data-driven decision-making.
Excellent written and spoken English; ability to communicate clearly with global teams.
Comfortable working in an agile, Dev Ops-oriented environment with a bias for action.

Technical Stack
Backend: C#, .NET Core, Python
Frontend:
Next.js, React, Type Script
AI:
Azure AI Foundry, Azure OpenAI Service, Azure AI Search, embeddings, RAG, MCP, A2A
Infra / Cloud:
Microsoft Azure, Terraform (infra-as-code), containers (Docker), Git Hub Actions
Data & Storage: SQL Server, PostgreSQL

Collaboration:

Git Hub, Jira, Confluence