Tech Lead - ML / AI (LLM Systems & Infrastructure)
WorkMotion
Posted: December 3, 2025
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Quick Summary
The Tech Lead - ML / AI (LLM Systems & Infrastructure) role is responsible for leading the development of machine learning and artificial intelligence systems and infrastructure, ensuring the success of our all-in-one HR platform. The ideal candidate is a highly skilled software engineer with expertise in AI and ML, and a passion for innovation and collaboration. The successful candidate will work closely with cross-functional teams to design and implement cutting-edge solutions that drive business growth and customer satisfaction.
Required Skills
Job Description
Tired of the 9-to-5 grind? Imagine a world without borders, where opportunities are endless. That's the future of work, and we're building it at WorkMotion. Our all-in-one HR platform makes it easy to hire and manage global teams, ensuring compliance and streamlining processes. So whether you're a digital nomad or a remote-first company, we've got you covered.
Ready to join the future of work? Let's build something amazing together. As we value work-life balance, please only apply if you're based within 2 hours of the Central European Timezone.
Our AI Team is looking for a skilled, innovative, and driven individual to join us as a Tech Lead – ML / AI (LLM Systems & Infrastructure). In this role, you’ll be the go-to person for architecting and implementing scalable, secure, and production-grade AI systems, ensuring our LLM-powered solutions deliver real value to our platform.
Requirements:
1-What You’ll Own
• Architect and evolve LLM-powered RAG pipelines for seamless integration into our platform.
• Lead the technical direction of AI/ML systems, collaborating with backend and data teams.
• Implement robust monitoring, evaluation, and security practices for AI workflows.
• Guide hybrid retrieval, prompt engineering, and embedding strategies.
• Oversee model integration, deployment, and scaling using Docker, FastAPI, and CI/CD.
• Ensure GDPR compliance, RBAC, and audit logging in all AI processes.
2-What We’re Looking For
• 5+ years of experience in ML/AI Engineering or MLOps.
• Strong hands-on expertise with LLMs, LangChain, and vector stores (e.g., Qdrant, Pinecone).
• Proven experience deploying RAG or chatbot systems in production.
• Proficiency with FastAPI, Docker, GitHub Actions, and Python packaging.
• Independent decision-making and architectural leadership skills.
• Fluency in English.
3-Nice to Have
• Familiarity with LLMOps tools like Langfuse, Weights & Biases, or BentoML.
• Experience with streaming inference or token cost control.
• Knowledge of fine-tuning or prompt-evaluation pipelines.
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Benefits:
Our benefits and perks…
Global, remote, and thriving: We're a global team of talented individuals spread across 26 countries. Our WorkFlex program lets you work from anywhere, anytime. Whether it's a beachside office or a cosy home office, the choice is yours.
Your well-being is our priority: We know mental health matters, which is why we offer a dedicated Well-Being Day—a full day off just to recharge and relax.
Get fit and stay active: Whether it’s yoga, weightlifting, or a quick jog—work out on your terms, at a discount with our subsidised gym memberships.
Learn, grow, and develop: We believe in constant growth. With our Training & Development Allowance, you’ll have all the opportunities you need to keep expanding your skills and knowledge.
Stay connected: Take part in exciting annual team meetups!
Diversity is our superpower: We are proud to be an equal opportunity employer, committed to fostering a diverse and inclusive workplace.
Benefits vary depending on location due to local laws and regulations.
At WorkMotion, we’re proud to be an equal opportunity employer. If you need any accommodations during the recruitment process, just let our Recruitment Team know at [email protected]. We’re here to support you every step of the way!