Find & Apply For Artificial Intelligence Engineer Jobs in Schaumburg, Illinois

Overview:

We are seeking a highly skilled and innovative Senior AI Engineer to lead the development and deployment of cutting-edge artificial intelligence solutions across diverse data environments. In this dynamic role, you will harness your expertise in machine learning frameworks, statistical modeling, and big data systems to drive impactful AI initiatives. Your work will empower organizations to leverage advanced predictive analytics, natural language processing, and generative AI technologies, transforming complex data into actionable insights. Join us to shape the future of intelligent systems with energy, passion, and precision!

What You'll Do :

Advance agent reasoning — Design and refine multi-step reasoning pipelines where AI agents dynamically plan, execute, and re-plan based on results. Push toward 80%+ autonomous incident resolution Build intelligent knowledge retrieval — Implement advanced RAG patterns including hybrid search, re-ranking, chunking strategies, and adaptive retrieval across enterprise knowledge bases Develop continuous learning capabilities — Build pattern mining that discovers recurring incident patterns, constructs causal models, and auto-generates operational runbooks from historical resolutions Design multi-agent collaboration — Architect how agents share context, negotiate priorities, and dynamically route work based on incident complexity and confidence levels Implement safety and guardrails — Extend the safety layer with risk scoring, blast radius estimation, and progressive autonomy models (shadow → supervised → autonomous) Optimize cost and latency — Implement intelligent model routing (powerful models for complex reasoning, lightweight models for classification), response caching, and token optimization strategies ─────────────────────────────────────────────────────────

What You Bring :

Must Have 6+ years Python — async/await, FastAPI or similar frameworks, strong software engineering fundamentals Hands-on LLM application development — You've built production systems where LLMs reason, plan, and use tools. Prompt engineering is second nature Experience with agentic AI frameworks — LangChain, LangGraph, CrewAI, AutoGen, or similar. You understand state management, checkpointing, and conditional routing in agent workflows RAG implementation experience — Vector databases, embedding models, hybrid search, retrieval evaluation. You know why naive RAG fails and how to fix it Comfortable with ambiguity — You'll design, build, test, and iterate in a fast-moving environment. You figure out the right approach, not wait for detailed specs Observability & production readiness — Tracing (Langfuse/OpenTelemetry), structured logging, prompt/version tracking, monitoring token usage, model drift detection Cost-performance optimization — Model selection tradeoffs (latency vs reasoning depth), caching strategies, batching, tool-call efficiency, and context window optimization Security & governance awareness — Prompt injection mitigation, data isolation, secrets handling, PII redaction, and secure tool access patterns Nice to

Have :

Experience with IT operations, NOC, or ITSM platforms (ServiceNow, PagerDuty, etc.) Knowledge of causal inference or pattern mining from operational data Experience with MCP (Model Context Protocol) or similar tool-use frameworks Familiarity with vector databases (pgvector, Pinecone, Weaviate, Qdrant) Prior work on AI safety and guardrails for autonomous systems Experience deploying LLM systems in cloud-native environments (AWS/GCP/Azure, Kubernetes) ─────────────────────────────────────────────────────────

Why Join:

Greenfield AI architecture — You're building autonomous agents that reason, learn, and collaborate — not maintaining legacy ML pipelines Real production impact — Every improvement directly reduces mean time to resolution and operational toil Cutting-edge applied AI — Multi-agent coordination, agentic RAG, continuous learning from operations data Ownership — Small team, high autonomy. You'll shape the AI architecture, not just implement tickets

Pay:

$80,000.00 - $150,000.00 per year

Benefits:

Flexible schedule Referral program

Work Location:

Hybrid remote in Schaumburg, IL 60173