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Role: Founder's office AI Engineer
Please note, this role initially starts with freelancing few hours a week (flexible bandwidth). The vision is to evolve this into a core functional and strategic role as the company progresses over the coming months.
Role Scope
- Work with the Co-Founder and Chief of Product and Venture Strategy on AI/ML solutions delivery and product development roadmap.
- Translate our healthcare/MedTech use cases into solutions, prototypes, workflows, and agile iterations.
- Support creation of tech defensibility by training and evaluating models, R&D, publications, and patent applications.
- Work with customers, early adopters, and market access experts to quickly validate experiences, use cases and product-market fit.
- Consult and Engage with technical advisors to evaluate and apply software engineering best practices, security standards, and on scalable AI/ML workflows.
- Contribute as part of the Founder’s Office, gaining exposure to strategic venture-building projects.
Key skills and pre-requisites
- Strong applied AI/ML background — ability to move from research to working prototypes.
- Proficiency in Python and key ML frameworks (PyTorch / TensorFlow / Hugging Face / LangChain).
- Experience building and testing AI pipelines or products end-to-end (data prep → model → API → UI).
- Ability to evaluate model performance & output quality, not just implement algorithms.
- Comfort working with LLMs, multimodal models, and APIs (e.g., OpenAI, Anthropic, Others).
- Understanding of data structures, version control (Git), and deployment basics (e.g., FastAPI, Streamlit, Docker).
- Hands-on mindset — prototype fast, test, iterate, and learn in startup cycles.
- Curiosity for research + bias for action — blending R&D depth with product-building pragmatism.
- Collaborative, low-ego attitude — comfortable co-building with design, product, and domain experts.
Key KPIs and Scope of the role
- Agile Solutions/MVP Delivery – Ship early prototypes, solutions and MVPs aligned with customer use cases.
- Applied R&D Outputs – Document experiments, contribute to technical publications, and support IP filings.
- Defensibility – Identify and advance patentable workflow/architecture during the product cycle development
- Customer & Expert Validation – Conduct structured interactions with customers, clinicians, and market access experts to refine solutions.
- Best Practices Adoption – Implement and document secure, scalable, and maintainable code practices with support from venture studio advisors. AI/ML Workflow Innovation – Design and refine novel workflows that enhance product differentiation
Who We’re Looking For
We’re looking for optimistic go-getters who bring positive energy, passion and agility to this role. Grit and hands-on drive to shape a startup from its early days — those who can thrive amid uncertainty, bring fresh ideas, and build fast, knowing both the risks and rewards that come with the journey.
- Genuine curiosity and expertise in engagement and learning tech venture.
- Interest and positive energy to journey along hands-on to shape a high-potential startup
You could be a:
- Practicing researcher in areas like Creative AI, imaging or learning AI interested in startups
- Ex- Engineering Founders/Entrepreneurs looking to build their next big thing or looking for a true-calling
- Solopreneurs/Independent technology professional who have shipped products and delivered services
- Or anyone else who thinks this is exactly me after reading the descriptions,
Ideal fit:
- Strong academic or research background in AI, ML, imaging, or creative AI applications.
- A self-driven builder or researcher excited to experiment, learn, and ship usable outcomes.
- Passionate about turning complex healthcare and product knowledge into interactive, human learning experiences.
- Comfortable working autonomously in an early-stage, evolving environment.
- Genuine curiosity and expertise in engagement and learning tech venture.
- Interest and positive energy to journey along hands-on to shape a high-potential startup
Why Us
FuOHealth is a Finnish CreativeTech, and Learning startup reimagining how medtech and life sciences companies engage and onboard their partners, customers, and employees.
We’re building AI-assisted learning and onboarding tools that transform complex product knowledge into interactive, engaging experiences — helping organizations scale understanding, alignment, and capability across their ecosystem.
Joining us means being part of a purpose-driven early venture where creativity meets healthcare and AI to solve real problems, not just build technology. You’ll help shape a new category at the intersection of learning, engagement, and MedTech innovation.
- A post problem market fit startup lead by strong domain experts
- Seasoned venture builders and founding team with understanding of the space and market
- Pre-seed backing from a reputed international healthcare angel investor
- Marquee advisory board and market access experts being onboarded
Key Skills
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