AI Engineer (Typescript)

About This Role

This engineering role is for an AI Engineer who wants to commit to one product for the long run, caring about the outcome, adapting quickly as the product evolves, and staying with a hard problem until users feel it is solved. You will help a U.S. company in the tax incentives domain turn manual, expert-heavy workflows into reliable production software, where AI and ML extract, predict, and suggest, and deterministic logic owns every final figure. The product is live and in real use, with the MVP already working for users, and the team actively building new capabilities. You will join a small core engineering team, work directly with the CTO, and see the impact of your decisions immediately.

Responsibilities

• Build multi-agent document pipelines that extract data from dozens of real client files (financial tables, long narratives, scans, and diagrams) and hand it off reliably to downstream agents
• Design the boundary between probabilistic AI/ML output and the deterministic engine that owns every calculated figure, with validation, provenance, and human review where needed
• Integrate in-house ML predictions (scoring, estimation, anomaly detection) and define what the product does when a model is uncertain, wrong, or unavailable
• Make AI behavior measurable through tracing, evaluation, and meaningful tests, so quality is observed rather than assumed
• Build durable, event-driven workflows and integrations that handle retries, idempotency, partial failure, and unreliable third-party services
• Own AI features end-to-end, from an ambiguous business problem through the data model, typed APIs, and UI to stable production behavior
• Work closely with the CTO and product, making trade-offs and risks explicit, sharing context, and documenting key decisions

Requirements

• Hands-on production experience with multi-agent or tool-calling architectures (for example, agents that extract data from documents and hand it off to other agents through explicit data contracts)
• At least one shipped LLM-powered feature, with a concrete story of how it failed on real data and how you contained it, without letting the system invent a value
• 5+ years of commercial software engineering experience with real end-to-end ownership of production features
• Strong TypeScript / Node.js in production; senior engineers with a Python background are welcome if ready to work in a TypeScript codebase from day one
• Working experience with modern React / Next.js, including complex forms, server state, and caching
• PostgreSQL in production: schema design, migrations on live data, history, and auditability
• Hands-on experience with queues, workflow engines, or event-driven systems (e.g., Inngest, Temporal, BullMQ, SQS, Kafka)
• Engineering discipline: tests that catch real regressions, observability, CI/CD, and careful verification of AI-generated code
• Product mindset: you can explain what a product does and for whom, and you think in outcomes rather than tickets
• Fluent spoken English and readiness to work roughly 11:00–20:00 Kyiv time

Nice to have:

• Experience with document processing (OCR, structured extraction) for large, messy real-world files
• Background in fintech, regtech, or another regulated, high-trust domain
• Familiarity with parts of the current stack: tRPC / Zod, Prisma, AWS, Sentry / OpenTelemetry / Langfuse, Vitest / Playwright

Benefits

• Long-term product, not a rotation: you work deeply on one product with a dedicated team (no staff augmentation, no short-term projects)
• Real ownership: a small core team (around five engineers plus an ML specialist and QA), direct work with the CTO, and room to make technical decisions
• KPI-based performance compensation
• AI-native engineering: AI is part of both the product and the way the team builds it, so you will work with current tools and approaches every day

Important Details

• Schedule: core collaboration hours of roughly 11:00–20:00 Kyiv time
• Work format: fully remote

About the Company

Kindgeek is growing into an inclusive, equal-opportunity company where only professionalism, competence, and ideas matter. They are committed to supporting mobilized employees and veterans joining Kindgeek and facilitating their career development, aiming to bring equal opportunities to all team members and candidates, especially those underrepresented in technological companies.