Software Engineer (Data & AI)

We're datarabbit.ai – data and AI partner for Healthcare and Life Sciences organizations. We design and deliver production-grade data and AI systems for medical devices, hospitals, life sciences, and pharma across EU and US.

Healthcare AI is one of the toughest technical niches today. Compliance requirements, integrations with "heavy" legacy systems, end users for whom a PoC built on "we'll figure it out later" is unacceptable. Many companies steer clear of this space entirely.

We don't. We build data platforms processing terabytes of medical data for research. Voicebots talking to patients indistinguishably from humans. Systems automating analysis and filling of medical documentation. AI agents for enterprise healthcare. All production-grade, compliant, secure, end-to-end.

We're looking for someone who wants to build systems that contribute towards advancing how people are treated, making healthcare more efficient, helping with research – making a real impact, not just building cool tech in a vacuum.

This role is broad. You'll work on ML/AI, but also components around it: infra, data pipelines, cloud, and user-facing apps. We work end-to-end – the model is just one part of the system.

What will you do?

You'll work on end-to-end data/AI projects, where you'll:

• architect solutions to actual problems in healthcare and life sciences

• build and integrate AI components – from classical ML through LLM-based agents

• handle data pipelines, cloud infrastructure, and surrounding systems to make solutions work in production

• integrate solutions into clients' applications and systems

• ensure solutions work correctly throughout the entire MLOps lifecycle

• share knowledge and learnings with the team during regular tech sessions

What is required?

• 3+ years in software and ML / AI engineering

• Problem-solving mindset, not just task execution. If your approach is "I didn't go into IT to talk with people" – this isn't the place. We dig into the client's business and often ask better questions than they do themselves.

• AI power-user mindset. You actively use LLMs, agents, and frontier tooling to automate your own work. You follow the industry weekly, not quarterly. AI-first isn't a buzzword for us – it's how we work daily.

• Genuine interest in healthcare. No prior healthcare experience required (we'll help you ramp up the domain) – but you need to be authentically excited about building tech that affects how people are cared for. If your "interest" stops at "AI is cool" – we're probably not the right fit.

• Full-stack engineering mindset – Python/AI is the core, but you're fine working with infra, data pipelines, cloud, and surrounding systems when the project demands.

• Communication skills – you'll be talking with both internal and client team members, not just code.

• Ability to drive a topic end-to-end, from idea to production.

Nice to have

• Knowledge of healthcare domain: specific systems, standards, and formats (e.g. HL7/FHIR, DICOM, Nextflow, etc.)

• Bachelor's, Master's, or PhD in CS, Biomedical Engineering, ECE, or related field

• Experience with classical ML, deep learning frameworks, and modern LLM stack

• Experience with data engineering and workflow orchestration (Airflow, n8n, etc.)

• Strong cloud skills (AWS preferred, Azure/GCP welcome)

• Currently in or willing to relocate to Poznań, Poland

What you get

• Real impact – work on production systems used by medical clients – actually affecting patients, public health and the pace of research.

• Frontier mindset – we adopt new models and tools as soon as they make sense. We don't wait for enterprise to greenlight them.

• Swiss army knife mode – models/AI is one thing, but we work end-to-end: ML, infra, data, client, user-facing apps. For some this is a killer, for others the best job they've had. If you love spending weeks deep in one narrow problem – this isn't us.

• Direct influence on projects and the company's direction – you won't be another cog in the machine.

• Fully remote with flexible hours – need to pick up your kid, hit a doctor's appointment, work better in the evenings? No problem.

• Dedicated training budget.

• Tech Fridays – regular knowledge-sharing sessions where the team actually shares what they've learned.

Join us and together we will <strikethrough>rule the galaxy!</strikethrough> build systems that solve real-world problems that truly matter!