Applied AI Engineer

About AARC Environmental

AARC Environmental Inc. delivers market-leading EHS compliance solutions. We’re embedding AI into our core products leveraging RAG, LangChain, and fine-tuned LLMs to automate regulatory tracking, risk assessment, and client reporting.

Job Overview

We are seeking a hands-on AI Engineer with deep experience in Generative AI, agentic AI, and ML engineering. You will architect end-to-end RAG systems and build production-grade AI agents that plan tasks, call tools / APIs, and autonomously orchestrate EHS workflows (e.G., document intake, permit monitoring, data entry / QA, risk flagging). You’ll own model and agent design, evaluation, deployment, and monitoring in partnership with data engineers and compliance SMEs.

Responsibilities

Build Agentic AI Systems

• Design autonomous and human-in-the-loop AI agents that can plan, reason, and execute multi-step tasks (task decomposition, routing, reflection, retry / rollback).
• Implement tool-use / function-calling for agents (Power BI, Monday.Com, JotForm, FileMaker Data API, SharePoint / OneDrive, Azure Functions, email / Teams, SQL / KQL endpoints).
• Develop multi-agent patterns (planner / solver / critic, researcher / writer / reviewer) using frameworks such as LangGraph, AutoGen, CrewAI, Semantic Kernel, or custom state machines.
• Add guardrails & policies (PII masking, allowlists, rate-limits, cost / latency budgets, escalation triggers).

Architect End-to-End RAG Pipelines

Lead LLM Fine-Tuning & Optimization

maintain prompt registries and evals.

Productionize, Observe, and Improve

implement versioning, canary, A / B, and automated regression tests.

Collaborate & Evangelize

Qualifications

proficiency with LangChain or equivalent orchestration frameworks.