Senior AI Engineer
ChicagoAll locationsChicagoAtlantaBostonCharlotteDallasLos AngelesNew YorkSan Francisco Remote
$144,500–$230,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
This position is not eligible for immigration sponsorship. We’re looking for experienced AI Engineers to join new AI-augmented delivery pods: purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations. In this role, you will design and build the AI systems that power client engagements: agentic workflows, RAG pipelines, evaluation frameworks, and production-grade tools that operate in real PE environments. You’ll work directly with clients and cross-functional pod teammates from day one, and you will be expected to ship fast, defend your decisions, and continuously raise the bar on what AI-assisted delivery looks like. This is a highly technical, hands-on role. We move at sprint pace—not quarter pace. If you want to move quickly, own outcomes end-to-end, and build things that matter in finance, this is the role.
What you'll bring
- AI tools are woven into how you work daily—you are materially faster because of it, and you can demonstrate that concretely
- 3–8+ years of 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
- Open-source contributions in the AI/ML space
- Finance or PE domain experience: FP&A, GL data, ERP systems (NetSuite, SAP), or financial workflow automation
- Experience building tools for reuse across multiple clients or in multi-tenant architectures
- Prior experience in consulting, professional services, or client-facing delivery environments
- This is a high-velocity environment.