We're hiring a Senior AI-Native Engineer (Full-Stack) for a fast-growing AI FinTech company.
The Company Behind the Role:Build and ship AI-powered tools and agents across the full lifecycle (idea production).
Design systems where AI is core, not an add-on.
Turn experiments into real, production-ready features.
Own things end-to-end: from problem to adoption.
Work closely with engineers and product teams to embed AI into daily workflows.
Define practical patterns for using AI in real production environments.
The company is building an AI-native bank for ambitious businesses.
Your Impact:Train and fine-tune large-scale audio & multimodal models.
Design and run experiments (architecture, data mixtures, training strategies).
Build and optimize audio data pipelines.
Improve inference speed, latency and production readiness.
Deploy models end-to-end in low latency environments.
Define meaningful evaluation metrics beyond benchmark scores.
Collaborate closely with research & engineering.
This is a hands on role where research meets production.
Tech Environment (High Level):Python
LLMs & AI tooling
PostgreSQL, BigQuery
TypeScript, React
AWS, GCP
Docker, Terraform, GitHub
(Deep technical stack shared during interviews)
Your Superpower:5+ years building and shipping production systems.
Full stack or deep backend/platform engineering.
AI native: you use AI daily and think in agents, workflows, and automation.
Product mindset: you care about adoption, not just output.
You turn messy problems into scalable solutions.
You've built or orchestrated AI agents or multi step workflows.
You're comfortable with LLM APIs, prompting, and tool calling.
You've integrated AI into real systems (CI/CD, observability, dev tooling).
Competitive compensation + equity
Hybrid setup in UK
Top tier hardware & tools