Forward Deployed Engineer - AI Prototyping & Product Engineering

Description

You will build AI products for a company in life sciences and healthcare, working alongside the scientists, clinicians and business teams who use them.

The role runs from early discovery and quick prototypes through full product engineering, enterprise integration, deployment and ongoing improvement. You will stay hands-on in the code while shaping solutions with users.

Responsibilities

• Work with business and domain colleagues to turn hard problems into AI product ideas with real value.
• Build and test quick prototypes, then refine them through short cycles of building, showing users and learning from their feedback.
• Create complete AI applications in Python and TypeScript, using React, foundation models and shared platform components.
• Use AI-assisted coding tools and coding agents without compromising quality, security or long-term maintainability.
• Build retrieval-augmented generation, document intelligence, agentic workflows and automation for life sciences use cases.
• Connect AI products to enterprise APIs, data platforms, identity services and approved business systems.
• Deploy secure, reliable applications on AWS, using Amazon Bedrock and suitable cloud services.
• Set up automated testing, evaluation, observability and CI/CD, and keep the product sustainable to run.
• Build privacy, security, traceability, human oversight and suitable controls into every stage of the product lifecycle.
• Track adoption and business results, and turn what works into reusable capabilities for future AI products.

Requirements

• You have 8-12+ years of professional experience, including 5+ years building and shipping production software.
• You have owned applications or products from problem discovery through deployment, adoption and continuous improvement.
• You are strong in Python and can build complete, production-ready applications, not only notebooks, prompts or model endpoints.
• You have working-to-advanced experience with TypeScript, JavaScript and React, building functional, usable interfaces.
• You have solid engineering basics: APIs, data modelling, databases, authentication, testing, containers and cloud deployment.
• You have hands-on experience with CI/CD, building maintainable solutions for production environments.
• Listed skills: Artificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Generative AI, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Neuro-Linguistic Programming (NLP), Organizational Awareness, Pandas Python Library, Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query Language (SQL), Time Series Analysis.
• Desirable: experience building generative AI solutions with foundation models, retrieval-augmented generation, agentic workflows and tool integrations.
• Desirable: experience delivering technology in life sciences, pharmaceuticals, healthcare or another regulated environment.

Conditions

Hybrid work model.

Based in Prague. The company cannot offer relocation support, so apply only if you can take the role without it.

Annual base salary of Kč1,402,380.00 to Kč2,604,420.00.

Base pay is set on gender-neutral criteria such as skills, competencies and experience, under the company's pay setting policy, and is reviewed periodically after you join.

Benefits

• Performance-based bonus, depending on defined performance parameters.
• Pension contribution matched to your own contribution, up to 3% of gross monthly base salary.
• Risk life insurance, with the full cost covered by the company.
• 5 weeks of holiday per year, 1 week above the legal minimum.
• 4 paid sick days per calendar year for sickness absence without a medical certificate.
• Cafeteria budget of 17,500 CZK per year to spend on Benefit Plus options.
• Meal vouchers of 105 CZK for each working day, with the full tax covered by the company.
• Car allowance.
• MultiSport Card.
• Employee share purchase plan.
• Benefits in kind such as insurance plans, retirement plans, wellbeing resources and global recognition programs.
• Flexible and hybrid working where possible.
• Minimum 14 weeks of paid parental leave.