Enterprise AI Engineer

Overview

Our Enterprise AI Engineering team ships AI systems that operate inside the guardrails large organizations actually require: governed data access, auditability, and measurable outcomes. As an Enterprise AI Engineer you will design and build LLM-powered services — from retrieval-augmented knowledge systems to agentic workflow automation — and integrate them with the enterprise platforms our clients run on. This is a hands-on engineering role for someone who cares about what happens after the demo.

Responsibilities

• Design and implement LLM-powered services: RAG pipelines, structured extraction, and agentic workflows
• Integrate AI services with enterprise systems (ServiceNow, Salesforce, SAP, internal APIs)
• Build evaluation harnesses so model behavior is measured, not assumed
• Own services end-to-end: architecture, implementation, deployment, and observability
• Work directly with client teams to shape use cases worth funding

Requirements

• 3+ years of software engineering experience in Python and/or TypeScript
• Production experience with LLM APIs and frameworks (Anthropic, OpenAI, or similar)
• Solid grasp of retrieval architectures, embeddings, and prompt/context design
• Experience shipping and operating cloud services (AWS, Azure, or GCP)
• Fluent English and comfort working directly with client stakeholders

Preferred qualifications

• Experience with agent frameworks and tool-use patterns
• Familiarity with enterprise data governance and security requirements
• Experience with vector databases and hybrid search

Nice to have

• Contributions to open-source AI tooling
• Experience fine-tuning or evaluating open-weight models
• Prior consulting or client-facing delivery experience

Benefits

• Competitive compensation with annual performance reviews
• Personal development budget and paid certification paths
• Flexible working hours built around delivery, not presence
• Top-tier hardware and a home-office equipment allowance
• Six weeks of paid vacation plus local public holidays
• Private health insurance and wellness allowance

Working model

Fully remote within the EU. We meet in person for quarterly team weeks and project kick-offs; everything else is designed to be asynchronous-first.

Recruitment process

1. 1

   Apply5 minutes

   Send your application — a CV and links are enough. No cover letter required, no eleven-page form.

2. 2

   Intro conversationWeek 1

   A 30-minute call with a recruiter or hiring manager. We tell you honestly about the role; you tell us what you're looking for.

3. 3

   Technical deep-diveWeek 2

   A practical session with future teammates — a real problem from our world, not puzzle trivia. You'll leave knowing what the work is actually like.

4. 4

   Team & values meetingWeek 3

   Meet the people you'd work with, including leadership. Ask us anything — we mean it.

5. 5

   OfferWeek 3–4

   A clear, complete offer with no exploding deadlines. Most candidates go from application to offer in under four weeks.