Job description:

We are seeking an experienced AI Engineer to design, build, and scale enterprise-grade generative AI and agentic solutions. You will leverage the Microsoft AI ecosystem alongside Python to develop intelligent assistants, automate workflows, and deploy custom LLM applications.

Key Responsibilities

- Design and deploy custom AI agents and conversational experiences using Microsoft Copilot Studio and Azure AI Foundry.
- Develop scalable backend services, orchestration logic, and RAG pipelines using Python (Semantic Kernel, AutoGen, or LangChain).
- Integrate LLMs, SLMs, and vector search capabilities via Azure OpenAI Service and Azure AI Search.
- Connect AI agents to enterprise data sources (Dataverse, REST APIs, Microsoft Graph, SQL databases).
- Implement Responsible AI guardrails, content filtering, security, and performance monitoring across cloud deployments.

Technical Skills & Qualifications

- Microsoft AI Ecosystem: Hands-on experience with Microsoft Copilot Studio and Azure AI Foundry.
- Programming:



Strong proficiency in Python (REST APIs, async, data handling).
- Azure Cloud: Experience with Azure OpenAI, Azure Functions, Logic Apps, and App Services.
- AI/ML Concepts: Deep understanding of Prompt Engineering, Retrieval-Augmented Generation (RAG), vector indexing, and Agentic AI workflows.
- Integrations: Knowledge of Power Platform, Dataverse, and API-first architectures.

Preferred Certifications (Optional)

- Microsoft Certified: Azure AI Engineer Associate (AI-102) or Azure AI Apps and Agents Developer Associate (AI-103)

Pay: Up to ₹1,576,312.74 per year

Benefits:

- Adaptable schedule
- Paid sick time
- Paid time off
- Provident Fund
- Work from home

Experience:

- AI: 3 years (Required)
- Azure AI Foundry: 3 years (Required)
- Copilot Studio: 3 years (Required)

Location:

- Pune, Maharashtra (Pune, Pune District) (Required)

Work Location: In person

📌 AI Engineer (India)
🏢 Biobeam Scientific Instruments
📍 India