Senior AI Engineer

Description

As a senior member of the AI team, you will prototype, mature, and ship AI-powered capabilities into Nexthink’s cloud platform. You will lead architectural decisions, establish best practices, and ensure AI systems are scalable, observable, and production-grade.

Responsibilities

AI Engineering & Architecture

• Design, develop, and operate production-grade AI/ML systems, including LLM-powered applications, NLP models, RAG pipelines, and multi-agent systems
• Make key architectural decisions across model selection, training strategies, fine-tuning, retrieval mechanisms, orchestration layers, and infrastructure
• Integrate external AI services (e.g., LLM providers) into Nexthink’s cloud platform
• Solve engineering challenges related to data collection, retrieval, evaluation, inference, latency, and cost optimization

AI Done Right – Evaluation & Quality

• Define robust online and offline evaluation frameworks and success metrics
• Instrument dashboards and monitoring systems to track quality and detect regressions in production
• Design automated evaluation pipelines for prompts, embeddings, models, and agent workflows
• Ensure observability and reliability of AI systems at scale

MLOps & Cloud Engineering

• Implement and maintain reproducible ML pipelines and CI/CD workflows for AI components
• Manage deployment, monitoring, and lifecycle of models and AI artifacts in production
• Optimize systems for scalability, performance, throughput, and cost
• Work with AWS (or equivalent cloud platforms), Docker, and orchestration frameworks (Kubernetes/ECS)

Product & Cross-Functional Collaboration

• Collaborate closely with product managers, designers, software engineers, and data scientists
• Translate ambiguous product requirements into incremental, testable engineering plans
• Proactively propose new AI capabilities based on user insights and technology advancements
• Communicate complex AI concepts clearly to both technical and non-technical stakeholders

Leadership & Mentorship

• Mentor and coach junior AI engineers in production best practices
• Establish engineering standards and AI best practices within the team
• Foster a culture of experimentation, learning, and knowledge sharing

Qualifications

• Bsc/Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
• 5+ years of professional software engineering experience, including shipping and operating cloud services in production
• Hands-on experience in LLM-powered production applications or ML/NLP applications.
• Strong proficiency in Python and AI frameworks
• Strong understanding of machine learning fundamentals (supervised/unsupervised learning, optimization, model evaluation).
• Solid understanding of machine learning fundamentals (training, optimization, evaluation)
• Experience with NLP systems (embeddings, semantic search, retrieval systems, text classification, etc.)
• Experience integrating and operating LLMs (prompting, evaluation, observability, RAG, agentic workflows)
• Hands-on MLOps experience: reproducible pipelines, experiment tracking, automated evaluation, CI/CD for models and prompts
• Knowledge of reinforcement learning, retrieval-augmented generation (RAG), and multi-agent AI architectures.
• Strong data intuition: ability to inspect logs, design metrics, and quickly identify regressions
• Proven experience with AWS and cloud-based AI deployments.
• Strong communication skills in English, capable of explaining complex AI concepts to technical and non-technical stakeholders
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

Strong Plus

• Strong AWS (or equivalent cloud platform) experience for scalable AI infrastructure.
• Experience optimizing models for latency, throughput, and cost.
• Experience fine-tuning large language models.
• Familiarity with multi-agent systems and orchestration frameworks.
• Experience designing AI systems in enterprise or B2B environments.

Benefits

• Permanent Contract and a competitive compensation package.
• Beautiful office, conveniently located next to the Prilly-Malley train station
• Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding.
• Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 25 days of holidays we offer) plus 3 company-paid volunteer days.
• Free access to a fitness centre inside the building.
• Reimbursement of the half-fare travel card for public transport.
• Reimbursement up to 50% of the cost of French classes.
• Fresh fruit, cookies, and soft drinks as well.
• Regular company and team events like Voluntary Days, Pizza talks, Team Building activities, hosting Meetups at the office and more!
• Bonuses for referring successful hires after three months of continuous employment.
• We offer a relocation package to people who are coming from another country.