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Remote European role with attractive ML remit increases applicant density despite seniority and niche LLM requirements.
Medium because advanced LLM engineering skills transfer across industries despite some fintech and governance preferences.
High due to explicit 8+ years, mandatory LLM production experience, and strict security/governance requirements.
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Build and deploy AI agents, orchestration layers, and workflows integrating large language models into internal tools and product features with measurable impact.
Own end-to-end production code for AI systems, ensuring observability, evaluation, and cost controls in a lean team environment.
Make strategic build-vs-buy decisions for AI solutions, collaborate closely with Product and Engineering to embed AI capabilities in trading and developer platforms.
8+ years in production software engineering with deep experience in APIs, integrations, and distributed systems owned end-to-end.
2-3+ years building and shipping production LLM/agent systems from scratch, including agent loops, tool-calling, guardrails, and orchestration.
Proficient hands-on coding in Python and TypeScript; strong discipline in evaluation and observability of AI systems.
Location requirement: EU/UK timezone with solid overlap with Central European hours; remote work setup.
Expert in large language model APIs (Anthropic, OpenAI, open-weight), agent frameworks, and cloud deployment (AWS/DigitalOcean, Docker, CI/CD).
Experienced in navigating security, data governance, and SOC 2 / ISO compliance for AI production systems.
Comfortable operating autonomously in a lean team, capable of identifying problems, designing solutions, and shipping high-impact AI features in fintech/trading domain or similar complex environments.