Tech Lead - ML / AI (LLM Systems & Infrastructure)

Social network you want to login/join with:

Tech Lead - ML / AI (LLM Systems & Infrastructure)

col-narrow-left

Client:

WorkMotion

Location:

Italy

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

8b213b3e269c

Job Views:

4

Posted:

04.07.2025

Expiry Date:

18.08.2025

col-wide

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.

What you will do as a Tech Lead – ML / AI...

• 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.

What we are looking for…

• 5+ years of experience in ML/AI Engineering or MLOps.
• Strong hands-on expertise with LLMs, LangChain, and vector stores (, 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.

Desirable (but not required):

• 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.
• Exposure to multi-tenant LLM platforms.

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.