Are you passionate about AI and eager to drive innovation in a fast-paced, impact-driven environment? Do you have experience developing AI-powered applications and enjoy mentoring others? If so, we invite you to join Nexthink as an Senior AI Engineer!
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