{"id":909946,"url":"https://alion.io/job/kindgeek-ai-engineer-typescript","title":"AI Engineer (Typescript)","company":{"id":689792,"name":"KindGeek","domain":"kindgeek.com","url":"https://alion.io/company/kindgeek-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lviv, Ukraine"],"countries":["UA"],"hiring_countries":["UA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":76000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"GraphQL","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"OCR","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"PostgreSQL","optional":false},{"name":"React.js","optional":false},{"name":"tRPC","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-09-14T11:49:41Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-11-05T19:31:39Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":52},"description":"Kindgeek is looking for an AI Engineer who treats model output as a hypothesis, not an answer.\nWe’re looking for someone who can build multi-agent systems and still clearly understand where a probabilistic call must stop and a deterministic rule must take over.\nYour mission will be to design and run the AI layer of a production fintech platform for our US-based client, where agents extract and reconcile data from real, messy documents - and every number they touch is eventually checked against a rule that never guesses.\nYou’ll work in a small, senior team with direct ownership from architecture to production behavior.\nResponsibilities\nAs an AI Engineer (TypeScript), you will be responsible for:\nDesigning multi-agent extraction and orchestration pipelines where each agent retrieves and uses only the context relevant to its task, rather than relying on naive keyword or similarity search.\nBuilding structured extraction, classification, and drafting features with output validation and clear boundaries against deterministic business logic.\nIntegrating in-house ML prediction and detection endpoints into product features, handling timeouts and low confidence without fabricating a value.\nMaking AI and ML behavior measurable through tracing, evaluation, and prompt/agent iteration, so quality is observed, not assumed.\nDesigning durable, event-driven workflows around LLM and ML calls that handle retries, partial failures, and idempotency.\nWorking with real, messy documents as first-class input - parsing, chunking, and structuring mixed financial and unstructured content.\nWriting production TypeScript across the backend, with typed contracts between AI services and the rest of the system.\nRequirements\nWe’re looking for an AI Engineer (TypeScript) who has:\nProduction experience designing or operating multi-agent AI systems, including how agents store, catalog, and hand off extracted context to each other.\nPractical experience shipping at least one LLM-powered feature to production, and the ability to describe a specific failure mode you found and how you contained it.\nHands-on daily use of AI coding tools such as Claude Code, Codex, or equivalent, with clear judgment about what to verify before trusting their output.\nStrong production TypeScript and Node.js experience, comfortable with ESM and typed API contracts such as tRPC, GraphQL, or equivalent.\nExperience consuming ML predictions in application code, understanding confidence and uncertainty well enough to decide what the product should do when a model is wrong or unavailable.\nExperience with asynchronous, event-driven backend work - job queues or durable workflow engines - and the operational instincts that come from running them.\nWorking knowledge of PostgreSQL or another relational database in production, including schema and migration basics.\nThe ability to walk through a real technical trade-off you made and explain the reasoning behind it, rather than just describing the theory.\nStrong spoken English and direct, low-ego communication, comfortable working closely with a US client in a small team.\nWill be a plus\nDocument ingestion and extraction experience across mixed-format files - OCR, PDFs, structured and unstructured data.\nModern React/Next.js experience, for engineers who also touch the product surface.\nPrior experience in fintech, regtech, or another regulated, high-trust domain.\nWHAT WILL YOU GET WITH KINDGEEK\nWe want you to thrive and feel supported\nProfessional growth: at Kindgeek, we want our employees to grow and achieve ambitious professional goals. We support professional development with training and certification refunds and provide regular feedback and technical reviews.\nBenefits package: Kindgeek offers all team members competitive compensation and a benefits package that includes 18 working days of fully paid vacation, 10 compensated by 50% sick leaves without a note from the doctor, and an opportunity to take study leaves. Depending on how long you stay in the company, you can receive different health insurance packages from our partners.\nPersonal growth: as a part of our team, you will have access to corporate English courses with a 50% reimbursement, take advantage of our offline library and access a large selection of corporate training and classes. Also, every employee can request any internal or external training or certification if it applies to his or her work responsibilities.\nGeek community: at Kindgeek, we value community - even in the full-scale invasion times, we take every opportunity to stick together. Our geeks organise various online and offline clubs - from stretching and skiing to English. We volunteer together and support each other.\n Flexibility: Kindgeek offers a hybrid working model. Team members can work remotely or from the office or Kindgeek London Hub - an innovative cafe-style co-working in Lviv (it’s pet-friendly!).\nWe encourage you to apply\nAt Kindgeek, we encourage everyone to apply - regardless of nationality, race, gender, marital status, disability, sexual identity, or religion. We are growing into an inclusive, equal-opportunity company where only professionalism, competence, and ideas matter. We are committed to supporting mobilised employees and veterans joining Kindgeek and facilitating their career development. 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