# AI & ML Engineer at Nexthink

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design and implement scalable AI product

- **Company:** Nexthink (https://jobs.trythestack.co/companies/nexthink)
- **Location:** Lausanne, Switzerland
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, Machine Learning, LLM, LangChain, PyTorch, AWS, MLOps, Reinforcement learning, Retrieval-augmented generation, Multi-agent AI architectures, CI/CD, Data intuition, Mentorship, Problem-solving, Communication
- **Posted by employer:** 2026-04-23
- **Added to The Stack:** 2026-04-23
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.smartrecruiters.com/Nexthink/744000122415376-ai-ml-engineer- (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/ai-ml-engineer-nexthink

## About the role

Responsibilities:
- Design and implement scalable AI products with emphasis on agentic and multi-agent systems.
- Define evaluation criteria and automated metrics for LLMs; run experiments and A/B evaluations.
- Build and operate MLOps pipelines for training, deployment, monitoring and CI/CD of models and prompt/embedding configs.
- Integrate RAG, fine-tuning and reinforcement-learning components into production workflows.
- Collaborate closely with software engineers, data scientists and product to align AI capabilities with business needs.
- Mentor and coach junior engineers; promote reproducibility and best practices across the team.

Requirements:
- BSc/MSc in Computer Science, Machine Learning, Data Science or equivalent experience.
- Proven hands-on experience shipping LLM-powered production applications and instrumenting evaluations.
- Strong Python skills and experience with frameworks such as LangChain and PyTorch.
- Experience with cloud-based deployments (AWS) and MLOps tooling (pipelines, feature stores, automated evaluations).
- Knowledge of fine-tuning, optimization, RAG, reinforcement learning and multi-agent architectures.
- Strong data intuition: designing metrics, inspecting raw logs and quickly identifying regressions.
- Excellent communication and mentoring skills; proactive, collaborative and eager to learn.

## Responsibilities

Design, develop, and deploy scalable AI-powered products with a focus on agentic systems and MLOps practices. Collaborate with cross-functional teams while providing mentorship and guidance to junior AI engineers.

## Requirements

Requires a degree in Computer Science or related field and hands-on experience with LLM-powered production applications. Proficiency in Python, AI frameworks, and cloud-based AI deployments is essential.

## FAQ

- **Is this AI & ML Engineer role still open?** It was posted on 2026-04-23. Listings more than 30 days old may no longer be active, so check Nexthink's site before applying.
- **Does Nexthink offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Nexthink's site.
- **Where is this role located?** The listing gives the location as Lausanne, Switzerland. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, Machine Learning, LLM, LangChain, PyTorch, AWS, MLOps, Reinforcement learning, Retrieval-augmented generation, Multi-agent AI architectures, CI/CD, Data intuition, Mentorship, Problem-solving, Communication.

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## Notes for agents

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