AI Engineer - Agentic AI | AWS Microsoft Copilot Studio

Location: India (Remote)

Experience: 2+ years in Generative AI

Job Summary

We are looking for an AI Engineer with hands-on experience building AI agents, LLM applications, RAG solutions, and intelligent automation using Microsoft Copilot Studio and AWS AI services .

Key Responsibilities

- Design and develop AI agents and multi-agent workflows using Microsoft Copilot Studio .
- Build enterprise AI assistants, RAG-based knowledge solutions, and intelligent automation.
- Develop integrations using Power Automate, Dataverse, SharePoint, Teams, REST APIs, and enterprise connectors .
- Build GenAI solutions using Amazon Bedrock, Claude, Knowledge Bases, Lambda, Step Functions, S3, and API Gateway .
- Implement prompt engineering, tool calling, memory, guardrails, evaluation, and AI observability.
- Develop APIs/backend services supporting AI applications.
- Deploy secure, scalable, enterprise-grade AI solutions.

Required Skills





- 2+ years of Generative AI / AI Engineering experience.
- Hands-on experience developing AI assistants or AI agents .
- Python, JavaScript/TypeScript, SQL, REST APIs .
- Amazon Bedrock, Claude, RAG, Knowledge Bases, Lambda .
- Microsoft Copilot Studio / Power Platform experience preferred.
- Knowledge of Vector Databases, Semantic Search, LLM Evaluation, AI Guardrails, and MCP .

Preferred

- Azure OpenAI, LangChain, Semantic Kernel, AutoGen, or CrewAI.
- Experience with M365, SAP, Salesforce, or ServiceNow integrations.
- Healthcare, Life Sciences, or MedTech experience.
- Understanding of AI governance and responsible AI.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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