Senior Software Engineer, AI Products

**About this role** We are looking for a Senior Software Engineer with 4-15 years of experience to join Brillian as a core builder of AI-native financial intelligence products. You'll work alongside a small, senior team to transform manual accounting workflows into intelligent backend systems — bringing a scientific, experimental mindset to high-stakes AI engineering problems. **What will you be doing?** * Building agentic AI systems (looping, orchestration) that power customer-facing product features in production * Taking messy financial data sets and building programmatic pipelines to model and extract insights from them * Owning features end-to-end: from articulating the user need through to production deployment, monitoring, and iteration * Designing and running rigorous evaluations to measure whether AI approaches are moving the needle * Converting what's traditionally done manually in accounting into automated backend services **Key Requirements** * Proven track record shipping production code — strong software engineering fundamentals are non-negotiable * Experience building AI/agentic systems in production at scale (not just side projects or prompt wrappers) * Scientific, experimental approach to development — rigorous evaluation of AI outputs and ability to get stakeholder buy-in * End-to-end ownership mentality; startup experience or evidence of taking things from zero to one * Production-grade Python skills with backend service development experience **RequirementsRequirementsDealbreaker** **Work experience** * **Must have** Hands-​on experience with ML/AI implementation including building agentic workflows and AI-​native product features -​ multi-​step orchestration,​ evaluations,​ not just API wrappers * **Must have** Deep backend engineering experience,​ data-​dense domain like document parsing or financial data * **Must have** Owned work end-​to-​end that created real user value or customer impact **Miscellaneous** * **Must have** US-​based,​ NY Metro preferred **Baseline** **Seniority** * **Required** 4 -​ 15 years of experience in backend software engineering,​ with production Python and AI/ML systems ideally at early-​stage startups **Work experience** * **Required** Early-​stage startup experience,​ ideally experiencing a degree of growth;​ valuation accounting preferred **Hard skills** * **Required** Experience writing production code in Python **Soft skills** * **Required** Scientific,​ experimental approach to engineering — uses rigorous evaluations to measure progress and communicate results to stakeholders **Nice-to-have** **Education** * Academic or research background in ML/Data Science **Hard skills** * Experience with Elixi **Traits to avoid** * Only worked at large non-​tech companies (e.​g.​ banks) with no startup or end-​to-​end ownership * Generalist backend,​ full-​stack or infra engineers whose AI exposure is limited to recent LLM integrations * Extended gaps filled only with vibe-​coded side projects with no users * Pure researchers who prefer siloed,​ non-​production work * Multiple short stints (under ~1 year),​ or only one employer across their career **What to ask candidates** * Tell us about a time you built an agentic system or AI-native feature in production. How did you evaluate your approach against alternatives and know you were moving the needle in the right direction? * What is their salary expectation? * How actively is this candidate exploring new opportunities? **Ideal candidates & backgrounds** **AI / ML Companies** * Anthropic * OpenAI * DeepMind * Cohere * Adept AI * Inflection AI * Anyscale * LangChain **Fintech / SaaS Companies** * Ramp * Brex * Stripe * Square * Plaid * Mercury * Pilot.com * Benchling * Puzzle * Airbase **AI / Developer Tools Companies** * Replit * Cursor * Harvey AI * Glean * Hebbia * Moveworks * Norm Ai * Rogo **Excluded Companies** * Jpmorgan Chase Bank National Association * Goldman Sachs * Bank of America * Citigroup * Wells Fargo * Morgan Stanley * HSBC * Barclays * Deutsche Bank * UBS Pay: $200,000.00 - $250,000.00 per year Work Location: In person