Altura

Senior AI Engineer

Altura

full-time

Posted on:

Location Type: Hybrid

Location: Amsterdam • Netherlands

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Job Level

Senior

Tech Stack

AzureCloud

About the role

  • Design and Deliver an agentic layer and a rich context graph that delivers automation of work with deep integration in our customers knowledge repositories.
  • 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.

Requirements

  • 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.
  • Nice to have: Experience optimizing inference (caching, batching, routing, quantization) or serving open-source models.
  • Nice to have: Experience building internal AI platforms (evaluation harnesses, prompt/version management).
Benefits
  • Work for an AI-build SaaS startup, going scaleup
  • 40 hours per week ⏱️
  • Competitive salary and Virtual Stock Units (VSUs) 💸
  • 26 vacation days 🏖️
  • All the tools and tech stack you want 🛠️
  • Work remotely when and how you want, as long as output is delivered and results are met 🔄
  • Budget to develop and spend it on courses you want 💡
  • Macbook 💻
  • Hybrid working model - 2 days/week in either our Amsterdam or London office 🏫
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI/ML software engineeringsystem designtestingreliabilitycode reviewAPIsLLM application patternsevaluation metricsmonitoringinference optimization
Soft Skills
cross-functional communicationmentoringcoachinginfluencingsystem design qualityteam alignment