About this opportunity
People In AI lists this Senior Software Engineer (AI) opportunity in new york city, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Senior Software Engineer, Applied AI
Compensation: $200,000–$250,000 base + equity
Location: New York City — hybrid
Employment Type: Full-time
Join a two-person Applied AI team as engineer #3, building agents that take real actions across complex financial systems.
This fast-growing fintech is modernizing a huge private-markets industry still heavily reliant on spreadsheets, manual workflows, and outsourced administration.
The opportunity combines the best of both worlds: a tiny Applied AI team with startup-level ownership, sitting inside a more established engineering organization with years of core infrastructure already built.
That foundation includes complex business logic, workflow systems, structured financial data, query layers, and caching infrastructure. The Applied AI team is now building agentic products on top of those rails.
There’s no mature AI playbook or predefined roadmap to simply execute against. You’ll help define the architecture, product direction, engineering standards, and what high-quality production AI looks like across the business — while benefiting from the platform, domain expertise, and engineering support of the wider organization.
What You’ll Do
Build and productionize customer-facing AI agents that perform real operational work
Enable agents to safely access data, use tools, and execute workflows
Own projects end to end, from ambiguous customer problems through design, implementation, and production
Define standards around evals, monitoring, reliability, and failure handling
Work across backend systems, product, infrastructure, and AI
Partner directly with customers, engineering leadership, and domain experts
What You’ll Bring
A track record as a high-impact Senior or Staff engineer, demonstrated through rapid progression, major system ownership, or standout contribution
Deep backend and system design fundamentals
Experience building, scaling, and debugging production systems where reliability matters
High agency — you can identify the problem, shape the solution, and drive it through production
Comfort operating without a fully defined roadmap or strict engineering boundaries
Experience across both high-scale engineering environments and smaller, fast-moving teams is a strong plus
Strong interest in LLMs, agents, and modern AI systems
Production AI experience is useful, but not required. The team is more interested in exceptional software engineers who understand how robust systems are built than candidates whose main credential is an “AI Engineer” title.
Why Join?
Be the third engineer on a brand-new Applied AI team
Get startup-level ownership without joining an organization from zero
Build on top of mature, complex infrastructure already used across the business
Take on one of the highest-impact engineering hires in the company
Shape architecture, product patterns, evaluation standards, and roadmap from the ground up
Build agents that perform meaningful work — not just answer questions
Work directly with customers and company leadership
Join a culture that rewards engineers who think like owners, not ticket-takers
About People In AI
People In AI connects exceptional AI, Machine Learning, Data, and Software Engineering talent with ambitious technology companies.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.