Founding AI & ML Engineer

About Concourse Concourse builds AI agents for corporate finance teams by connecting core enterprise data sources and deploying AI agents that analyze data through natural language, deliver insights quickly, and enable better decision-making. Since launching less than a year ago, Concourse has grown rapidly with AI agents deployed across hundreds of high-growth companies, unicorn startups, and multiple Fortune 500 customers. The company is backed by notable investors including Andreessen Horowitz, CRV, YC, Standard Capital, and over 50 angel investors from prominent tech companies. About the Role We’re hiring a Founding AI & ML Engineer to play a key role in the engineering behind our AI agents and define how finance teams interact with LLMs at scale. Your mission is to build, optimize, and scale production-grade AI agents that deliver best-in-class accuracy, reliability, and performance for large enterprise datasets. You’ll work across models, prompts, infrastructure, and data systems to push the boundaries of what AI agents can do for finance teams. The right candidate will have a high ownership mentality, infectious energy, and technical expertise to move the company and engineering organization forward. Key Responsibilities Build and Scale AI Agent Infrastructure: Architect and maintain systems that process hundreds of thousands of queries per month, ensuring accuracy, reliability, and performance across LLM and SQL calls. Tune and Optimize Models: Improve output quality through fine-tuning, evaluation frameworks, and prompt engineering across a variety of LLMs. Integrate Finance Data Sources: Work across ERPs, banks, CRMs, HRIS tools, and internal data models to ensure agents return precise, trustworthy, and contextual outputs. Experiment with the Latest AI Advances: Evaluate new models, tools, and techniques; prototype quickly; and push agent capabilities to industry-leading performance. Own Large Areas of the Product: Take full responsibility for major components of the agent architecture, infrastructure, and engineering roadmap with high ownership. Shape Engineering Culture: Work directly with the team to establish standards, best practices, and a fast-moving, high-bar engineering environment. About You 4+ years of software engineering experience, with strong systems thinking and a track record of shipping production-grade products 2+ years of experience building AI systems, LLM applications, or agent-based workflows in production environments. Experience with LangGraph or similar frameworks preferred. Deep experience with prompt engineering, model evaluation, and tuning LLM outputs for quality, consistency, and reliability Proficient in Python and comfortable working across backend systems, APIs, data pipelines, and performance-critical infrastructure, and deployment pipelines Strong debugging skills and be able to investigate issues across data sources, model outputs, and system interface Excellent communicator who collaborates closely with product and engineering and can translate complex AI concepts clearly Thrives in fast-paced, ambiguous environments and is able to self-direct, move quickly, and operate with high ownership in a startup setting Experience with fintech, financial data models, or enterprise data systems (preferred but not required) Experience leading or mentoring engineers or owning major technical components in a 0 to 1 environment (preferred but not required) Why You Should Join Us Joining Concourse is an incredible opportunity to get in at the ground level of a high-growth category-defining AI company. Every person we hire meaningfully shapes the product culture and trajectory of the business,and we compensate accordingly with top-of-market salary equity. You’ll have a high degree of ownership from day one. We move fast build aggressively,and operate with very little bureaucracy.You’ll work directly with founders founding team ship impactful work weekly,and play core role scaling company. We’re in person 5 days week new NYC HQ Flatiron where collaborate tightly iterate quickly build environment both high-energy deeply focused.We believe best work fastest learnings happen together.