Senior Agentic AI Engineer

Overview:

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. Collaborate with architects, software engineers, data engineers, and business stakeholders to translate requirements into AI-powered software solutions.

Key Responsibilities:

Build Generative AI & Retrieval-Augmented Generation LLM 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

Required Qualifications:

Bachelor's degree (or international equivalent) and 8+ years of relevant software engineering experience

2-3 years of hands-on Generative AI, LLM application, or Agentic AI solution development experience

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

Hands-on experience building Generative AI and RAG applications with Azure AI Foundry, Azure OpenAI, Azure AI Search, LLM APIs, embeddings, vector or hybrid search, knowledge retrieval, grounding, and citations

Experience with Agentic AI frameworks such as Microsoft Agent Framework, Semantic Kernel, LangGraph, AutoGen, or comparable orchestration frameworks

Experience evaluating and improving agent quality, including prompt engineering, test datasets, LLM-based evaluation, safety checks, and production feedback loops

Strong knowledge of LLMOps, CI/CD, containerization (Docker and Kubernetes), observability, and production operations for AI applications

Good understanding of RESTful API principles, asynchronous application patterns, secure integrations, relational databases, SQL, and data-access patterns

Experience working in an enterprise environment with large-scale, secure AI deployments, including identity, authorization, data privacy, compliance, and production monitoring

Strong analytical, problem-solving, collaboration, and communication skills

#J-18808-Ljbffr