Senior Fullstack AI/ML Engineer

Location: Prague, Czechia; hybrid working model

Company

hirify.global develops software, data products, and AI/ML capabilities supporting drug discovery, development, scientific research, and post-market surveillance across a multinational organization.

What you will do

• Deliver end-to-end features spanning user interfaces, backend logic, integrated data, and AI capabilities.
• Build applications and APIs for data search, AI interaction, and actionable insights across scientific research, competitive intelligence, target identification, literature reviews, and safety monitoring.
• Define application-layer patterns, write technical specifications, and evaluate architectural trade-offs, risks, tools, and approaches.
• Ensure accessible and performant interfaces, secure and observable APIs, and coverage with unit, integration, and component tests.
• Own production applications, including upgrades, bug resolution, technical debt reduction, and ongoing support.
• Integrate coding agents into development workflows, mentor team members, and create documentation and onboarding materials.

Requirements

• 5+ years of professional software engineering experience focused on full-stack or frontend-heavy application development.
• 3+ years of experience building, scaling, and maintaining production-grade applications with React and TypeScript.
• Experience designing and building robust REST APIs in at least one backend language, plus working familiarity with Python.
• Experience or knowledge related to AI systems, generative AI, machine learning, NLP, data engineering, API design, system integration, Git, GitHub, AWS, OpenSearch, software development, product engineering, and testing.
• Ability to work with data scientists, bioinformaticians, engineers, and scientific subject matter experts on AI/ML and data science applications.

Nice to have

• Experience optimizing APIs for large language model tool calling and building connectors for enterprise AI platforms.
• Interest in drug discovery and development, scientific data, NLP, and AI literacy.
• Experience contributing to presentations, white papers, manuscripts, or open-source code releases.

Culture & Benefits

• Hybrid working model with a flexible role pattern and international, cross-disciplinary projects.
• Professional development through specialized learning platforms, industry conferences, communities of practice, and access to domain experts.
• Pension and health insurance contributions, competitive salary and incentive pay, and a cafeteria for tax-free benefits.
• 5 weeks of annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid volunteering hours annually, and 12 weeks of parental contribution.
• Internal reward and referral schemes, up-to-date laptop and iPhone, parking, and office amenities including showers, refreshments, massage chairs, a library, and a music corner.

Hiring process

• Current employees and contingent workers must apply through the specified internal application routes.
• Search firms must have a valid written search agreement for this position; unsolicited submissions are not accepted and should not be sent by phone or email.
• The posting is effective until 11:59:59 PM on the day before the listed end date of November 24, 2026.