Senior AI Engineer
$144,500–$230,000 year
Hybrid · Chicago, Illinois, United States or New York City, New York, United States
Job Summary
We are seeking an experienced AI Engineer to join new AI-augmented delivery pods—integrating AI engineering, data science, and product management to transform finance and operations for PE-backed portfolio companies. You will design and build multi-agent systems and RAG pipelines that automate financial workflows, own the full stack from prompt engineering through deployment and monitoring, practice eval-driven development, translate ambiguous client problems into engineering requirements, and present architectural decisions to both technical and non-technical stakeholders (including CFOs and PE operators). Expect to ship end-to-end agentic solutions in client engagements, establish evaluation infrastructure for your pod, and travel to client sites as needed. The role emphasizes fast, end-to-end delivery in a high-velocity environment with collaboration across AI engineers, data scientists, and product teams; strong emphasis on delivering measurable quality improvements in production AI systems within a consulting-like setting.
Required Qualifications
- 3–8+ years software engineering experience with a notable portion in AI/ML systems, agent development, or applied LLM engineering
- Hands-on experience building production LLM applications: RAG systems, agentic workflows, tool use, multi-agent orchestration
- Proficiency in Python; experience with LangChain, LangGraph, AutoGen, DSPy, or equivalent orchestration frameworks
- Strong grasp of evaluation methodologies: designing evals, catching regressions, assessing LLM output quality
- Solid data engineering fundamentals: ETL design, SQL/NoSQL, vector databases, streaming or batch pipelines
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