Tech Lead ML AI (LLM Systems & Infrastructure)

extra holidays - work from home - work from anywhere - work from our offices if you want
Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

At least 5 years of experience in ML/AI Engineering or MLOps., Strong hands-on expertise with LLMs, LangChain, and vector stores like Qdrant or Pinecone., Proven experience deploying RAG or chatbot systems in production., Proficiency in Python, Docker, FastAPI, and GitHub Actions..

Key responsibilities:

  • Architect and develop LLM-powered RAG pipelines for platform integration.
  • Lead the technical strategy for AI/ML systems in collaboration with teams.
  • Implement monitoring, evaluation, and security practices for AI workflows.
  • Oversee model deployment, scaling, and integration using Docker, FastAPI, and CI/CD pipelines.

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WorkMotion Human Resources, Staffing & Recruiting Scaleup https://www.workmotion.com
201 - 500 Employees

Job description

Tired of the 9to5 grind? Imagine a world without borders, where opportunities are endless. Thats the future of work, and were building it at WorkMotion. Our allinone HR platform makes it easy to hire and manage global teams, ensuring compliance and streamlining processes. So whether youre a digital nomad or a remotefirst company, weve got you covered.

Ready to join the future of work? Lets build something amazing together. As we value worklife balance, please only apply if youre 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 goto person for architecting and implementing scalable, secure, and productiongrade AI systems, ensuring our LLMpowered solutions deliver real value to our platform.

What you will do as a Tech Lead – ML AI...
  • Architect and evolve LLMpowered RAG pipelines for seamless integration into our platform.
  • Lead the technical direction of AIML 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 CICD.
  • Ensure GDPR compliance, RBAC, and audit logging in all AI processes.
    • What we are looking for…
      • 5+ years of experience in MLAI Engineering or MLOps.
      • Strong handson 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 decisionmaking 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 finetuning or promptevaluation pipelines.
          • Exposure to multitenant LLM platforms.
            • Our benefits and perks…

              Global, remote, and thriving: Were a global team of talented individuals spread across 26 countries. Our WorkFlex program lets you work from anywhere, anytime. Whether its a beachside office or a cosy home office, the choice is yours.
              Your wellbeing is our priority: We know mental health matters, which is why we offer a dedicated WellBeing 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 Jobs@WorkMotion.com. We’re here to support you every step of the way!

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Decision Making
  • Collaboration

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