Senior AI Engineer
Role details
Job location
Tech stack
Job description
As a Senior AI Engineer, you'll join a high-caliber team building the agentic layer that powers Altura's next evolution. This is not a "plug prompts into an API" role. You'll design and ship real agentic workflows: context-aware, production-grade systems that sit on top of our proprietary data graph and become a core technical moat.
You'll work in a small, fast-moving team with full freedom to experiment: Claude Code, Cursor, Copilot, and new models the day they drop. If something advances the state of the art, we're using it.
You'll drive high-impact AI initiatives end-to-end:
- From discovery and greenfield prototyping
- To model evaluation and multi-model strategy
- To production rollout, observability, and continuous improvement
Beyond product capabilities, you'll help shape foundational AI platform components: context engineering, agent orchestration, evaluation frameworks, tone monitoring, and online observability.
No corporate red tape. No endless committees. Just ownership, speed, and real technical influence.
You'll ship AI that is:
- Reliable in production
- Scalable across customers
- Measurable in impact
- Cost-aware by design
And you'll help define what "great AI engineering" looks like inside a Series A company operating at the leading edge.
Our Tech Stack
- AI: Python
- Frontend: Vue.js and Next.js
- Backend: C# - ASP.NET
- Infrastructure: Azure, GitHub, Linear, * Drive architecture & delivery of production LLM/GenAI systems (context engineering, agentic workflows, model evaluations, multi-model strategies).
- Define and implement evaluation: offline + online metrics, gold sets, regression tests, human review loops, and A/B experiments.
- Operationalize LLMOps: deployment patterns, observability, monitoring, incident response, and performance/cost optimization (latency, throughput, token spend).
- Build guardrails & security: prompt-injection defenses, data-exfiltration prevention, permissions for tools/actions, and safe handling of sensitive data.
- Establish engineering standards: reference implementations, reusable libraries, review practices, and documentation that accelerates teams.
- Mentor and influence: coach engineers, raise the bar on system design and code quality, and align multiple teams on outcomes and timelines., * Experience optimizing inference (caching, batching, routing, quantization) or serving open-source models.
- Experience building internal AI platforms (evaluation harnesses, prompt/version management).
What success looks like in 90-180 days
- Delivery of AI native capabilities in our platform, aligned with product goals and risk constraints.
- A repeatable evaluation + release process that prevents regressions and supports fast iteration.
- AI capabilities shipped with monitoring, guardrails, and measurable business impact.
Requirements
Do you have experience in Vue.js?, Do you have a Master's degree?, * Extensive experience in AI/ML software engineering (or equivalent), with multiple production AI/ML launches.
- Strong software engineering fundamentals (system design, testing, reliability, code review, APIs).
- Proven experience with LLM application patterns (e.g., context engineering, output quality, embeddings/vector search, prompt design, structured outputs).
- Hands-on experience building evaluation + monitoring for model/system quality in production.
- Comfort operating in cloud environments (Azure), containers, CI/CD, and modern observability.
- Excellent cross-functional communication: you can translate ambiguity into plans, tradeoffs, and shipped outcomes., * Technical deep-dive + system design (60-90 min)
- Practical exercise or pairing (60 min) - Fully agentic coding session
- Final conversation
- Offer
Benefits & conditions
- Work - Work for an AI-build SaaS startup, going scaleup
- Time - 40 hours per week
- Compensation - Competitive salary and Virtual Stock Units (VSUs)
- Free - 26 vacation days
- Tech - All the tools and tech stack you want
- Flexibility - Work remotely when and how you want. Want to have the Thursday afternoon off and work on Sunday? As long as output is delivered and results are met
- Fun - Tear at the go-kart track or bowl your colleagues out during our company outings, but feel no need to join
- Development - Budget to develop and spend it on courses you want
- Macbook
- Hybrid working model - 2 days/week in either our Amsterdam or London office
