Senior Agentic AI Engineer – GenAI & RAG Apps

Environmental And Safety Solutions, Inc.; Reston (VA); On-site; USD 150,000 - 230,000; Full time

Job summary

Environmental And Safety Solutions, Inc. seeks a Senior Agentic AI Engineer to design, develop, and deploy production-grade Generative AI applications on Microsoft Azure.

You will collaborate across roles to translate requirements into AI-powered software powering secure enterprise solutions. You will build GenAI and RAG pipelines, interfaces with enterprise tools via REST APIs, and craft front-end experiences in React/TypeScript with a Node.js backend.

Qualifications

• Requires a 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 frameworks.
• Hands-on experience building Generative AI and RAG applications with Azure AI Foundry, Azure OpenAI, Azure AI Search, 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; including single-agent and multi-agent systems, tool-calling workflows, and human-in-the-loop controls.

Responsibilities

• Build Generative AI & Retrieval-Augmented Generation LLM Applications.
• 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 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 and data.
• Develop agentic workflows using Microsoft Agent Framework, Azure AI Foundry or comparable orchestration frameworks.
• Implement configuration-driven agent behavior, prompt/tool management, and resilient error-handling patterns.
• Define and automate evaluation approaches for agent quality, including groundedness, relevance, citations, safety, and regression testing.
• Instrument agent workflows for traces, tool calls, latency, token usage, errors, and operational metrics.
• Build scalable, secure, containerized solutions with CI/CD, health checks, horizontal scaling, and production monitoring.

Skills

Generative AI

LLM Applications

Agentic Automation

React & TypeScript

Node.js / backend

Azure AI Foundry

Azure OpenAI

Azure AI Search

CI/CD

REST APIs

Education

Bachelor's degree or international equivalent

Tools

Azure AI Foundry

Azure OpenAI

Azure AI Search

Docker

Kubernetes

Job description

Environmental And Safety Solutions, Inc. seeks a Senior Agentic AI Engineer to design, develop, and deploy production-grade Generative AI applications on Microsoft Azure.

You will collaborate across roles to translate requirements into AI-powered software powering secure enterprise solutions. You will build GenAI and RAG pipelines, interfaces with enterprise tools via REST APIs, and craft front-end experiences in React/TypeScript with a Node.js backend.