Senior AI Engineer

Vacaturebank; Amsterdam; Presencial; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model (2 days/week in AMst

26 vacation days

Laptop

Virtual Stock Units (VSUs)

Descripción de la vacante

Altura, an ambitious SaaS startup, is building the first agentic AI Virtual Bid Manager. As a Senior AI Engineer, you’ll join a fast-moving team, designing production-grade AI workflows on top of our data graph, enabling automated bid lifecycles.

You’ll work with Claude Code, Cursor, Copilot and other models, shipping context engineering, evaluation frameworks, and observability. This role offers ownership, strong impact, and a hybrid Amsterdam-based setup.

Formación

• > Extensive experience in AI/ML software engineering with multiple production launches.
• - Strong software engineering fundamentals: system design, testing, reliability, APIs.
• - Proven experience with LLM patterns: context engineering, embeddings, prompt design.
• - Hands-on experience with evaluation and monitoring for production models.
• - Comfort operating in Azure, containers, CI/CD, and observability.
• - Excellent cross-functional communication to translate ambiguity into plans and shipped outcomes.

Responsabilidades

• Design and Deliver an agentic layer and a rich context graph enabling automation across customer knowledge repositories.
• Drive architecture & delivery of production LLM/GenAI systems (context engineering, agentic workflows, model evaluations).
• Define and implement evaluation: offline + online metrics, gold sets, regression tests, human review loops, A/B experiments.
• Operationalize LLMOps: deployment patterns, observability, monitoring, incident response, cost optimization.
• Build guardrails & security: prompt-injection defenses, data-exfiltration prevention, permissions for tools/actions.
• Establish engineering standards: reusable libraries, reference implementations, documentation.
• Mentor and influence: coach engineers, raise bar on design and code quality.

Conocimientos

AI/ML engineering

System design

Context engineering

Evaluation & monitoring

Azure

CI/CD

Cross-functional comms

Herramientas

Azure

GitHub

LLM tooling

Descripción del empleo

We’re Altura, an ambitious SaaS startup, and we just raised our Series A!

At Altura, we’re making it easier for organisations to win complex deals (tenders and RfPs). With our AI-powered platform, we simplify bid management by turning it into a smooth, strategic process. We connect workflows, automate tasks, and make knowledge accessible, so teams can work more efficiently and effectively.

But we’re not stopping there.

We’re building the first AI-powered Agentic Virtual Bidmanagement Assistant, designed to automate the entire bid lifecycle. With fresh funding, big ambitions, and a fast-growing team, we’re just getting started.

If you value innovation, enjoy working collaboratively, and want to make a real impact, we’d love to have you on board.

Let’s work together!

TL;DR

Altura is building the first agentic AI Virtual Bid Manager-a system that automates the entire bid lifecycle-and creating the Knowledge Center that turns bid data into actionable insights for organisations to make smarter, data-driven decisions.

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

What you’ll do (responsibilities)

• 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.

What we’re looking for (minimum qualifications)

• 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.

• 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.
  

Interview process

1. Recruiter screen (30 min)

2. Meet the team + system design (60 min)

3. Practical exercise or pairing (90 min)

   1. Fully agentic coding session

4. Final conversation

5. Offer

We offer:

• Work - Build the future of SaaS at a moment when the way software gets made, sold, and used is being rewritten. We're an AI-built scaleup moving with it, still figuring out what world-class looks like - and there's real room here to do the most meaningful work of your career

• 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

• Ownership - Take the lead on your work with the autonomy and trust to make calls without waiting for permission, drive real impact, and help shape where Altura goes next

• Culture - A flat, direct, feedback-rich team that values judgment over hierarchy and outcomes over hours. We give feedback openly, skip the red tape, and trust each other to act like owners

• Fun - Speed at the go-kart track or bowl your colleagues out during our company outings

• Development - Grow your skills with a budget you can unlock by presenting a case to leadership tied to our OKRs

• Laptop

• Hybrid working model - 2 days/week in our beautiful Amsterdam office