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

, , Bulgaria -

Full Time

Start Date

Immediate

Expiry Date

21 Jan, 26

Salary

0.0

Posted On

23 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ML/AI Engineering, MLOps, LLMs, LangChain, Vector Stores, RAG Systems, Chatbot Systems, FastAPI, Docker, GitHub Actions, Python Packaging, Decision-Making, Architectural Leadership, GDPR Compliance, RBAC, Audit Logging

Industry

Human Resources Services

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 (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. 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. 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!

Responsibilities

As a Tech Lead, you will architect and implement scalable AI systems, ensuring LLM-powered solutions deliver value. You will lead the technical direction of AI/ML systems and collaborate with various teams.