Job Overview
Location
Atlanta; Boston; Charlotte; Chicago; Dallas; Los Angeles; New York; San Francisco
Job Type
Full-time
Category
Software Engineering
Date Posted
June 20, 2026
Full Job Description
đź“‹ Description
- • Design and build multi-agent systems and RAG pipelines to automate financial workflows for private equity-backed portfolio companies
- • Own the full stack of AI system development—from prompt engineering and tool design to deployment, monitoring, and iterative improvement
- • Practice eval-driven development by defining success metrics and evaluation frameworks before building AI solutions
- • Translate ambiguous client problems in finance and operations into clear engineering requirements and deliver working solutions in compressed timeframes
- • Present and defend architectural decisions to both technical teams and non-technical stakeholders, including CFOs and private equity operators
- • Build and maintain observability and evaluation infrastructure to detect regressions, measure output quality, and continuously improve production AI systems
- • Work within purpose-built AI-augmented delivery pods that combine AI engineering, data science, and product management to transform finance and operations workflows
- • Ship end-to-end agentic AI solutions within client engagements, from scoping through production deployment, within sprint-based timelines
- • Travel to client sites as required to support implementation, collaboration, and delivery
- • Operate in a high-velocity environment where sprints are short, client expectations are high, and velocity is prioritized over rigid processes
- • Use AI tools to materially increase personal and team output, demonstrating measurable improvements in delivery speed and quality
- • Collaborate directly with clients and cross-functional pod teammates from day one to ensure solutions are aligned with real-world business needs
- • Maintain a focus on building production-grade, reliable, and reusable AI systems that operate in live financial environments
🎯 Requirements
- • 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, and multi-agent orchestration
- • Proficiency in Python and experience with LangChain, LangGraph, AutoGen, DSPy, or equivalent orchestration frameworks
- • Strong grasp of evaluation methodologies: designing evals, catching regressions, and assessing LLM output quality
- • Solid data engineering fundamentals: ETL design, SQL/NoSQL, vector databases, and streaming or batch pipelines
- • AI tools are woven into daily work, with concrete evidence of materially increased speed and output due to AI usage
🏖️ Benefits
- • Annual salary range of $144,500 to $230,000 USD plus significant bonus
- • Hybrid work model with flexibility to work remotely 2 days per week
- • Opportunity to work with 1,600+ finance and technology experts in a collaborative, high-growth environment
- • Exposure to premier private equity firms and their portfolio companies across diverse sectors including Retail, CPG, Healthcare, Technology, and Logistics
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Accordion Partners, LLC
Accordion Partners is a private equity-focused financial consulting firm providing portfolio company value creation services. It delivers interim management, financial planning & analysis, operational improvement, and transaction support to middle-market PE-backed businesses across North America. Founded by ex-Bain and Deloitte professionals, the company embeds senior-level talent within client organizations to accelerate EBITDA growth, optimize cash flow, and prepare assets for exit. Services span strategic finance, accounting, treasury, pricing, supply chain, and M&A integration, delivered through a flexible staffing model that scales with deal timelines and investment horizons.
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