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

About Us At WorkMotion,

we’re building a globally scalable platform that enables companies to hire, onboard, and manage talent across borders — efficiently and compliantly. We're now extending our platform with AI-powered assistants and automation systems, and we’re looking for a Tech Lead – ML / AI to help us build it right. You’ll lead the technical design and implementation of our LLM-based systems, ensuring they’re secure, scalable, and well-monitored — not just clever demos.

What You’ll Own As the Tech Lead, you’ll:

● Architect and evolve our LLM-powered RAG pipelines (Retrieval-Augmented Generation)

● Define technical direction for AI/ML systems alongside backend and data teams

● Lead the implementation of monitoring, evaluation, and security practices for AI workflows

● Implement or guide hybrid retrieval, prompt engineering, embedding strategies

● Own model integration, deployment and scaling via Docker, FastAPI, CI/CD

● Ensure compliance with GDPR, RBAC, audit logging and data handling best practices

● Mentor other engineers in the AI team and drive adoption of production-grade ML standards

Requirements

What We’re Looking For Must-Have Skills:

● 5+ years experience in ML/AI Engineering or MLOps

● Proven track record leading or architecting AI systems in production

● Strong hands-on knowledge of LLMs, LangChain, vector stores (e.g., Qdrant, Pinecone)

● Experience deploying RAG or chatbot systems

● Familiarity with FastAPI, Docker, GitHub Actions, and Python packaging

● Awareness of data privacy, security and GDPR practices in ML workflows

● Comfortable working independently and making architectural decisions

Nice-to-Have:

● Experience with LLMOps tools like Langfuse, Weights & Biases, BentoML, etc.

● Prior exposure to streaming inference, token cost control, or multi-tenant LLM platforms

● Understanding of fine-tuning or prompt-evaluation pipelines

Benefits

💡 What You Can Expect

● Real ownership of a strategic AI roadmap

● A product team that wants AI to be practical, not hype

● Flexible work-from-anywhere culture

● Competitive salary and equity options

● A diverse and distributed team working across 10+ countries