AI Engineer

Job description

Our mission

Better healthcare outcomes depend on turning data into intelligence that can be trusted and acted on. LOGEX holds financial operational clinical and pathway data for healthcare providers across Europe and AI is becoming central to how we turn that data into value in our products and in how we work. We are building that capability deliberately with the rigour a regulated healthcare-data business demands.

This is a hands-on building role you will help shape LOGEXs AI journey and deliver AI capabilities into our products with the teams.

The role

As AI Engineer you will help shape and deliver LOGEXs AI journey building applied AI capabilities into our products and where useful into how we work. You will turn AI use cases into working reliable software: integrating LLMs and applied AI building pipelines and applying machine learning where it fits the problem. The emphasis is on delivering dependable in-product AI capabilities with the teams and making sure what you ship is tested monitored and dependable enough for healthcare data.

You will work closely with the AI Architect data engineers platform and product teams and play a central part in turning the AI direction into real features customers use moving capabilities from prototype to production.

What you will own

In-product AI capabilities. Design build and ship AI capabilities into LOGEXs products with the teams from idea through to integrated working features that customers use.

LLM and applied AI development. Build with modern AI approaches LLM integration retrieval-augmented generation prompt and evaluation design and apply machine learning where it fits the problem.

Production reliability (MLOps / LLMOps). Make AI dependable in production deployment monitoring evaluation versioning and continuous improvement of the capabilities you build.

Quality safety and compliance. Build AI that is tested evaluated secure and privacy-preserving appropriate to a regulated healthcare-data environment.

Your impact and responsibilities

Build and ship in-product AI capabilities with the product and engineering teams

Integrate LLMs and applied AI RAG prompting evaluation into real product features

Help turn LOGEXs AI direction into working reliable software

Build evaluation testing and monitoring into AI capabilities so they are reliable and observable

Deploy and operate AI in production (MLOps / LLMOps) and improve it over time

Prepare and work with data for AI in partnership with data engineering

Apply machine learning where it fits the problem alongside LLM-based and applied-AI approaches

Write clean well-tested code and take part in code reviews

Build AI capabilities that are secure privacy-preserving and compliant (GDPR and similar)

Work with the AI Architect to follow shared patterns standards and guardrails

Apply AI to internal engineering QA and operational workflows where it adds value

Job requirements

Your profile

We are looking for a hands-on AI engineer who can build reliable AI capabilities and bring them into production.

Experience

Solid experience building AI capabilities and shipping them into products or production

Experience integrating modern AI (LLMs RAG) into real applications

A strong software / data engineering background with hands-on AI delivery

Experience with building and deploying ML models is relevant and valued though not the primary focus

Experience working in regulated environments (healthcare financial services or similar) is an advantage

Technical depth

Strong coding ability (for example Python) and solid software engineering fundamentals

Hands-on experience with LLM-based and applied-AI development frameworks cloud AI services and orchestration

Practical experience with RAG prompting and evaluation and with integrating AI into real products

Working knowledge of MLOps / LLMOps deployment monitoring evaluation and versioning

Good data engineering skills preparing and working with data for AI

Working knowledge of machine learning training tuning and serving models where it fits the problem

Awareness of AI safety privacy and responsible-AI practice

Delivery and execution

Strongly outcome-driven measured by reliable AI capabilities shipped into production not prototypes

Hands-on and pragmatic with strong attention to quality evaluation and reliability

Comfortable working where AI approaches and ways of working are still forming

Personal style

Collaborative and a strong communicator equally effective with engineers and data practitioners

Pragmatic about AI focused on real value and reliability over hype

High standards but pragmatic; comfortable operating with pace and ambiguity

Willing to travel moderately across LOGEXs locations

Why LOGEX

• 25 vacation days (based on full-time employment) to recharge with the option to purchase additional days

• An informal working environment with motivated colleagues

• The possibility to work in a hybrid setup

• A laptop and everything you need to set up a comfortable and ergonomic home office

• Personal and professional development opportunities through our LOGEX Academy

• Access to our mental health partner OpenUp

• Regular after-work drinks and many more social events

Contact us!

You can apply via the button below and upload your CV. For more information or in case you have any
questions you can contact Wesley Schreuder at

Our company is dedicated to building a workplace that promotes equity diversity and inclusion and we believe that a diverse workforce is essential to our success. As we strive to create a workplace where everyone feels valued and respected regardless of their race gender sexual orientation age religion or any other characteristic we encourage everyone to apply.

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Required Experience:

IC

Employment Type : Full-Time
Experience: years
Vacancy: 1