Job Requirements

Act as an AI Engineer responsible for designing, developing, deploying and maintaining AI-agents that drive business value. The incumbent will leverage Generative AI, Large Language Models (LLMs), Agentic AI and Microsoft AI Foundry to build scalable, secure and production-ready AI solutions.

- The role will contribute towards Agentic AI journey of the organization by combining business process understanding with agent development using up-to-date Microsoft AI technologies (e.g. Azure AI Foundry, Microsoft Fabric and Power BI).

- Participate in the complete Agentic Development Life Cycle (AIDLC), including requirement analysis, architecture design, development, testing, deployment, monitoring and continuous improvement.

- Design, develop, test, deploy and support enterprise-grade AI agents using Azure AI Foundry, Azure OpenAI, Python, Model Context Protocol (MCP)-based integrations, orchestration workflows, prompt engineering, tool integrations, memory management and exception handling.

- Develop Retrieval-Augmented Generation (RAG) solutions by integrating enterprise knowledge sources, vector databases and Large Language Models (LLMs).

- Implement AI solutions following security, governance, responsible AI, privacy and compliance standards.

- Collaborate with data engineering teams to ensure data quality, availability and readiness for AI model development and deployment.

- Monitor performance, accuracy, reliability and usage of deployed AI solutions and drive continuous optimization.

- Create technical documentation, deployment guides,



architecture documents and operational runbooks for Agentic AI solutions.

- Support user acceptance testing (UAT), production deployments, troubleshooting and ongoing enhancements.

- Participate in knowledge-sharing sessions, demonstrations and technical training programs to drive AI adoption across business functions.

- Stay updated with emerging trends in Generative AI, Agentic AI, LLMs, Multi-Agent Systems, Machine Learning, and Microsoft AI technologies.

Work Experience

Technical & Functional Skills:

- B.E. / B. Tech (Computer Science / Data Science or a related field)

- 4 years of experience in Data Science & Analytics with minimum 2 years of hands-on experience in agent development with one end-to-end cycle of agent development from concept to design to delivery.

- Strong Experience with agent development using Azure AI Foundry, Python, AI/ML, Azure OpenAI Services, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Prompt flow & engineering and LangChain / LangGraph / CrewAI or similar technologies.

- Working knowledge of Microsoft Fabric including OneLake, Data Factory & Synapse, vector databases , MLOps and LLMOps practices including model deployment, monitoring, version control, and CI/CD pipelines.

- Understanding of REST APIs, microservices architecture and enterprise application integrations.

- Understanding of Responsible AI principles, data governance, security and compliance requirements.

- Ability to manage multiple assignments and deliver high-quality outcomes within defined timelines.

📌 Engineer – Agentic (Noida)
🏢 Jakson Group
📍 Noida