Job
- Level
- Experienced
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you independently develop features for a digital healthcare platform, analyze processes, leverage AI tools, and optimize software based on user feedback and key performance indicators.
Job Technologies
Your role in the team
- With our digital platform in the field of specialized care, we are building effective care structures for thousands of patients and their service providers: processes that are measurably faster, more reliable, and noticeably better for both sides.
- AI tools shift what a single person can accomplish: understanding the problem, making the product decision, building the solution – that fits into one role today.
- Therefore, we are filling our team with Product Engineers who take ownership and further develop the platform.
- You work in a small, dedicated team that drives development itself – close to the decision-making process, collaborating with colleagues to refine ideas, architecture, and code on an equal footing.
- We operate AI-first: agents, coding assistants, and LLMs are an integral part of our daily work — from the first prototype to the release.
- You independently develop our digital supply platform - from requirements and prioritization to the delivered functionality.
- You identify product improvements yourself – based on usage data, process metrics, and regulatory requirements – and stand behind the results.
- You consistently prioritize based on impact: what has the greatest measurable effect on supply is built first.
- You develop LLM-based features for the supply platform - from integrating LLM APIs, through prompt design, to systematic evaluation (Evals) of the output quality.
- You build and operate the platform hands-on, from the database to the user interface - and use AI tools (e.g., agents, coding assistants) as a natural part of your development daily routine.
- You assess objectively where AI provides real benefits and where it does not – and ensure that your solutions are technically reliable, secure, and viable within the regulated Digital Health environment.
- You systematically analyze supply processes and the touchpoints between patients and service providers, identify inefficiencies and quantify them—before eliminating them with software.
- You define measurable KPIs for the platform's processes (e.g., throughput times, completion rates, automation level) and consistently steer the further development based on these metrics.
- You work directly with medical specialists, Regulatory Affairs, Operations, and other engineers — without detours through intermediate roles.
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Our expectations of you
Education
- Very good academic degree, e.g., in Engineering, Computer Science, Natural Sciences, Business, or a comparable field.
Qualifications
- What matters most to us is not the number of years of professional experience, but that you have already brought software into production – whether in a job, in personal projects, or both.
- Genuine technical depth - Software development, databases, and web fundamentals (e.g., HTTP, APIs) are your tools of the trade - plus a second domain where you have judgment: product, UX, data, security, medical technology, psychology, or design.
- The second domain is not a nice-to-have – it shows us that you can integrate knowledge.
- Good process understanding: You quickly familiarize yourself with technical workflows, make them measurable, and translate them into functional software.
- Good knowledge of German and English.
- Motivated to advance healthcare with innovative ideas: You want your work to resonate with patients and positively transform the healthcare system.
- AI-first: You already use AI tools daily to think faster, build, and deliver.
- Empirically: You work hypothesis-driven and change your position when data or user feedback contradict your assumption.
- You argue with evidence, not with seniority or habit.
- Structured: You break down unclear problems into solvable parts — and think of them from both the user needs as well as from the system and code perspective.
Experience
- Experience in engineering, software development, product development, or a comparable technical role.
- Practical experience in LLM/AI product development: You have already worked with LLM APIs, designed prompts, and integrated AI features into real products — and have a realistic understanding of the strengths and limitations of these models.
- Demonstrable hands-on experience: You can show us what you have built - products, prototypes, repositories, or projects you have created.
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What we offer
- You work on effective supply structures - your work changes how patients are cared for and how providers collaborate with them, and you see this reflected in the key figures.
- You work directly on the product in a small team – from conception to implementation.
- Modern AI tools are an integral part of our development daily routine, not the exception.
- Few who master their craft drive development - each with their own strength and full context.
- Ideas are refined through professional sparring and then developed.
- Collaboration with scientists, doctors, market experts, and engineers - colleagues who are experts in their field, in German and English.
- Flat hierarchies, direct communication with all stakeholders - good arguments count more than titles.
- Directly in our modern office by the water with remote options.
- Permanent employment contract, 30 days of vacation, company pension scheme, EGYM Wellpass, bike leasing, and up to 25 days of workation within the EU.
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Benefits
Work-Life-Integration
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About Your Employer
GAIA AG
Integrated care programs can help to streamline processes and test out new innovations. This is something that GAIA has been doing for years with Veovita®, one of the largest mental health care systems in Germany. Veovita® works together with trained psychologists, psychiatrists, family doctors, and clinics to provide care for numerous patients. In addition to treating "F-diagnoses" (serious mental illnesses), we also develop projects for health insurance companies and service providers in areas like back pain and immunological disorders.
Description
- Founding Year
- 1997
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Healthcare, Social Sector
Employer reviews
by devworkplaces.com
Total
(1 Review)2.9
Career Growth
3.0Culture
2.7Workingconditions
3.0Engineering
3.0
AI Product Engineer - Digital Supply Platform
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
