ai engineer for fintech

Stellenbeschreibung:

Описание:

Finom is a European technology startup developing an all-in-one financial B2B platform that combines banking, accounting, financial management, and invoicing for entrepreneurs. Its mobile-first platform also includes AI-enabled accounting and is expanding across key EU markets.

Задачи:

Lead a team of AI engineers by setting direction, reviewing designs, and expanding their technical scope through review, pairing, and design guidance
Own the architecture of the services developed by the team and document decisions, tradeoffs, and rejected alternatives
Build and ship AI-powered customer and internal solutions using LLMs, RAG, tool calling, workflows, and agentic patterns
Own AI systems end to end, including problem framing, implementation, evaluation, deployment, monitoring, and iteration
Develop scalable and reliable inference pipelines with attention to latency, cost, security, and observability
Set the evaluation and quality bar through offline evaluations, online signals, failure analysis, and continuous improvement loops
Design AI systems with auditability, model governance, and EU AI Act obligations built in from the start
Drive AI platform and tooling decisions that improve reuse, speed, and consistency across teams
Partner with solution managers, domain teams, and engineers to integrate AI into real workflows
Challenge product decisions and advocate for technically appropriate solutions
Negotiate scope and sequencing with domain teams
Decide what to deprecate, simplify, or stop based on evidence
Shape the AI roadmap rather than only executing tickets
Deliver significant AI capabilities with measurable impact through revenue uplift, cost savings, productivity gains, or risk reduction
Remove constraints on team delivery, including technical debt, unclear ownership, missing skills, or process issues
Ensure predictable delivery and communicate risks to stakeholders early
Establish documented architecture and standards adopted by teams beyond the immediate team
Ensure production quality through evaluations, monitoring, and team-led incident debugging
Grow engineers so they can lead significant workstreams independently
Shape the AI roadmap with product and business leadership

Требования:

Proven experience leading an engineering team formally or as a tech lead, with responsibility for team delivery
Experience owning the technical direction of a system used by teams beyond your own
Experience influencing product or business decisions through technical arguments
Experience working directly with non-technical stakeholders on commitments and tradeoffs
Experience growing engineers through review, mentoring, or design guidance
Strong ownership mindset and ability to create clarity in genuine ambiguity
Proven experience building and deploying AI systems in production
Strong Python and software engineering fundamentals
Hands-on experience with LLM applications, including RAG, tool use, agents, prompt engineering, evaluations, structured outputs, guardrails, or fine-tuning
Experience integrating AI systems into backend or product workflows
Ability to design meaningful evaluation, monitoring, and continuous improvement loops
Experience with cloud infrastructure and containerized deployments
Strong understanding of the fast-moving AI landscape and ability to turn relevant advances into practical product and engineering decisions
Fluent English (C1)
Nice to have: experience in fintech, financial services, risk, compliance, or operations-heavy environments
applied ML beyond LLMs
vector databases, knowledge systems, and retrieval infrastructure
model benchmarking, experimentation frameworks, and cost or latency optimization at scale
startup or founder background
open-source contributions or visible AI side projects