Software Engineer (Data & AI) with Tech Lead potential

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 scaling the team and looking for an experienced engineer ready to grow into a Tech Lead role – owning technical direction, mentoring others, and being accountable for the performance of systems shipped.

This role is roughly half hands-on engineering, half leadership. 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?

• architect data/AI solutions for healthcare clients (data platforms, ML/AI systems, agents, and more)

• lead a team of 2-5 engineers working on particular projects – without becoming a manager who stopped coding

• own technical quality – code review, standards, best practices across the team

• pre-sales technical work – discovery sessions with clients, scoping, technical proposals

• mentor more junior engineers and help them grow

• build internal IP and reusable components for healthcare AI

• contribute to the technical and strategic direction of the company

What is required?

• 5+ years in software and ML / AI engineering, with at least part of that time in a role with responsibility for others (formal or informal).

• Production experience, not just research – systems that actually run in clients' environments.

• 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.

• Ability to scope, estimate, and deliver projects end-to-end.

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

• Track record of building or leading engineering teams in B2B / consulting setting

• Cloud certifications (AWS Solutions Architect, etc.)

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

• Public speaking, conference talks, technical writing, or open source contributions

• 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.

• Path to Tech Lead + Direct influence on technical direction, hiring decisions, and company strategy – you'll have a real seat at the table.

• 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!