Senior Software Engineer (AI)

Senior Software Engineer, Applied AICompensation: $200,000–$250,000 base + equityLocation: New York City — hybridEmployment Type: Full-time

Experience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below.
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 DoBuild and productionize customer-facing AI agents that perform real operational workEnable agents to safely access data, use tools, and execute workflowsOwn projects end to end, from ambiguous customer problems through design, implementation, and productionDefine standards around evals, monitoring, reliability, and failure handlingWork across backend systems, product, infrastructure, and AIPartner directly with customers, engineering leadership, and domain experts
What You’ll BringA track record as a high-impact Senior or Staff engineer, demonstrated through rapid progression, major system ownership, or standout contributionDeep backend and system design fundamentalsExperience building, scaling, and debugging production systems where reliability mattersHigh agency — you can identify the problem, shape the solution, and drive it through productionComfort operating without a fully defined roadmap or strict engineering boundariesExperience across both high-scale engineering environments and smaller, fast-moving teams is a strong plusStrong 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? xzbcwsv Be the third engineer on a brand-new Applied AI teamGet startup-level ownership without joining an organization from zeroBuild on top of mature, complex infrastructure already used across the businessTake on one of the highest-impact engineering hires in the companyShape architecture, product patterns, evaluation standards, and roadmap from the ground upBuild agents that perform meaningful work — not just answer questionsWork directly with customers and company leadershipJoin a culture that rewards engineers who think like owners, not ticket-takers
About People In AIPeople In AI connects exceptional AI, Machine Learning, Data, and Software Engineering talent with ambitious technology companies.