Senior Agentic AI Engineer

About the role

We are seeking a highly skilled Senior Agentic AI Engineer to design, develop, and deploy modern Agentic AI solutions. This role focuses on building production-grade Generative AI applications, multi-agent workflows, and Retrieval-Augmented Generation (RAG) pipelines for enterprise use on Microsoft Azure. You will collaborate with architects, software engineers, data engineers, and business stakeholders to translate requirements into AI-powered software solutions. The ideal candidate brings hands-on experience developing, evaluating, and operating Agentic AI solutions, supported by strong front-end and back-end engineering fundamentals.

Responsibilities

• Build LLM-powered applications for text generation, summarization, Q&A, conversational AI, enterprise knowledge search, and multi-agent orchestration.
• Develop advanced RAG pipelines using embeddings, Azure AI Search vector and hybrid retrieval, document chunking, metadata filtering, reranking, citations, and grounding techniques with enterprise data.
• Build secure, reliable integrations between AI agents and enterprise tools, REST APIs, relational databases, and event-driven services.
• Develop and maintain user-facing AI application experiences using React and TypeScript, and supporting application services using Node.js or comparable back-end technologies.
• Design and implement single-agent and multi-agent systems for intelligent automation, decisioning, and complex workflows.
• Build autonomous and human-in-the-loop agents that plan, reason, act, and interact with tools, APIs, enterprise data, and event-driven systems.
• Develop agentic workflows using Microsoft Agent Framework, Azure AI Foundry services, or comparable modern orchestration frameworks.
• Implement configuration-driven agent behavior, prompt and tool management, authorization boundaries, and resilient error-handling patterns.
• Define and automate evaluation approaches for agent quality, including groundedness, relevance, citation quality, safety, and regression testing.
• Instrument agent workflows for traces, tool calls, latency, token usage, errors, and operational metrics using OpenTelemetry, Application Insights, or comparable observability platforms.
• Build highly scalable, secure, containerized solutions with CI/CD, health checks, horizontal scaling, and production monitoring.

Requirements

• Bachelor's degree (or international equivalent) required.
• 8 years of relevant software engineering experience.
• 2–3 years of hands-on Generative AI, LLM application, or Agentic AI solution development experience.

Skills

• Strong software engineering background with experience designing and deploying production-grade cloud applications.
• Experience building front-end applications with React and TypeScript, and back-end services with Node.js or comparable application frameworks.