Senior / Principal Applied AI Engineer (UK / Europe, Remote)

Das ist der Job

Explicitly rejects 'vibe coding'—requires writing production code and building agent systems and integrations.

Darum lohnt es sich

Own implementation, observability, and security while partnering with Product and Platform teams to deliver measurable AI systems in production. This is a hands-on engineering role: you will write production code, put evaluation and observability on everything shipped, and operate autonomously in a lean team.

Requirements Must-haves • 8+ years of production software engineering experience with deep expertise in APIs, integrations, REST, webhooks, OAuth, event-driven and distributed systems. • 2–3+ years building and shipping production LLM/agent systems from scratch against provider APIs, including writing agent loops, orchestration/harness, tool-calling, guardrails and RAG. • Hands-on fluency in Python and TypeScript and ownership of production code (this is not a no-code/low-code or advisory role). • Strong evaluation and observability practices (golden datasets, eval harnesses, tracing, graceful failure modes, cost/latency controls). • Deep LLM-API fluency (Anthropic/OpenAI/open-weight), MCP, agent frameworks, and familiarity with AI coding tools (Claude Code, Cursor). • Cloud and delivery experience: AWS and/or DigitalOcean, Docker, CI/CD, SQL/Postgres. • Strong buy-vs-build judgment and security/data-governance maturity. • High autonomy and experience operating in lean teams. • Located in EU/UK timezones with solid overlap with Central European hours.

Logistics • Location: Europe (EU/UK) — fully remote; must overlap Central European working hours. • Employment type: Full-Time (via Employer-of-Record in your home country). • Travel: Light, occasional team/leadership meetups.

Skills System Design API Integration Distributed Systems Agent Design Observability Evaluation & Metrics Security & Data Governance Cloud Infrastructure CI/CD Autonomous Execution Buy-vs-Build Decision Making Product Collaboration Experience Level Employment Type Full Time • Fully Remote (Europe EU/UK) • Employment via Employer-of-Record in your home country • Occasional team/leadership meetups (light travel) About the Role Build and ship production-grade AI agents, agentic workflows, and LLM integrations for internal automation and in-product features for a web-native trading platform.

Job Description Role Senior/Principal Applied AI Engineer responsible for designing, building, and operating production AI agents, agentic workflows, and the orchestration/harness layers that integrate LLMs into internal systems and the trading product.

Key Responsibilities • Build agent loops, tool-calling, structured outputs, planning/state management, retries, guardrails, and orchestration layers on top of LLM provider APIs (Anthropic, OpenAI, open-weight models, MCP). • Ship internal AI automations to remove engineering/support/growth toil by integrating with existing tooling (GitHub, Slack, Intercom, Jira) or building bespoke solutions when required. • Prototype and productionize in-product AI capabilities for the trading terminal and developer experience, collaborating closely with Product and Core Platform Engineering. • Make buy-vs-build decisions and integrate or replace third-party platforms where appropriate to deliver outcomes. • Implement evaluation, observability, and cost/latency guardrails (golden datasets, eval harnesses, tracing, fallback chains, spend controls). • Operate within security and AI governance constraints (SOC 2 / ISO, approved-tooling allowlist) and handle source/customer/product data responsibly.

Nice-to-haves • Fintech/trading/market-data domain experience or experience as a trading-platform user. • Open-source contributions to AI tooling (LangChain, LlamaIndex, vLLM, DSPy, or similar). • Production RAG and vector-database experience; experience with code-generation, transpilation, or developer-experience tooling.