Senior AI Engineer

Senior AI Engineer

Company: Accordion Location: Atlanta, Boston, Charlotte, Chicago, Dallas, Los Angeles, New York, San Francisco (hybrid, 2 days remote/week)

Accordion positions itself as private equity's strategic partner. The firm combines financial consulting with data, technology, and AI to drive value creation. Operating with 1,400+ professionals across 10 global offices.

This position sits within Accordion's Intelligence Lab, a team designing AI solutions for market deployment. Candidates will join AI-augmented delivery pods combining engineering, data science, and product management to transform how PE-backed companies manage finance and operations.

Key Responsibilities

• Design multi-agent systems and RAG pipelines automating financial workflows
• Own full-stack development from prompt engineering through monitoring
• Practice evaluation-driven development before building solutions
• Translate client problems into engineering requirements under time pressure
• Present architectural decisions to technical and non-technical stakeholders
• Build observability infrastructure for production systems
• Conduct client site visits as needed

Required Qualifications

• Daily use of AI tools demonstrating measurable productivity gains
• 3-8+ years software engineering experience, substantially in AI/ML systems or LLM engineering
• Hands-on production experience with RAG systems, agentic workflows, tool use, multi-agent orchestration
• Python proficiency; experience with LangChain, LangGraph, AutoGen, DSPy, or equivalent frameworks
• Strong evaluation methodology knowledge
• Data engineering fundamentals including ETL design, SQL/NoSQL, vector databases

Nice-to-Have

• Open-source AI/ML contributions
• Finance or PE domain knowledge (FP&A, GL accounting, ERP systems)
• Multi-tenant or multi-client tool development experience
• Consulting or client-facing delivery background

Compensation: $144,500-$230,000 USD annually, plus significant bonus and benefits

No immigration sponsorship available. Candidates must be local to preferred office location.