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Operating LLM-powered applications, RAG pipelines, and multi-agent systems for digital employee experience management. 5+ years software engineering experience, including LLM production applications, required. Unlimited vacation, 25 holidays, fitness centre access.
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Anforderungen
- BSc/Master’s degree in Computer Science, Machine Learning, Data Science, or related field
- 5+ years professional software engineering experience, including shipping and operating cloud services
- 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)
- 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 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
Aufgaben
- Design and develop production-grade AI/ML systems
- Operate LLM-powered applications, NLP models, RAG pipelines, and multi-agent systems
- Make key architectural decisions on model selection, training, fine-tuning, and infrastructure
- Integrate external AI services into Nexthink’s cloud platform
- Solve engineering challenges in data collection, retrieval, evaluation, inference, latency, and cost optimization
- Define robust online and offline evaluation frameworks and success metrics
- Instrument dashboards and monitoring systems to track quality and detect regressions
- Design automated evaluation pipelines for prompts, embeddings, models, and agent workflows
- Ensure observability and reliability of AI systems at scale
- Implement and maintain reproducible ML pipelines and CI/CD workflows
- Manage deployment, monitoring, and lifecycle of models and AI artifacts
- Optimize systems for scalability, performance, throughput, and cost
- Work with AWS, Docker, and orchestration frameworks like Kubernetes/ECS
- Collaborate with product managers, designers, software engineers, and data scientists
- Translate ambiguous product requirements into incremental, testable engineering plans
- Propose new AI capabilities based on user insights and technology advancements
- Communicate complex AI concepts clearly to technical and non-technical stakeholders
- 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
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Flexible Hours
- Unlimited vacation
- 3 company-paid volunteer days
- Fitness centre access
- Half-fare travel card reimbursement
- 50% French classes cost reimbursement
- Relocation package
- Free fruit, cookies, and soft drinks
- Company and team events
- Referral bonuses
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Nexthink erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei NexthinkÜber das Unternehmen
Nexthink is a leader in digital employee experience management software, providing IT leaders with insights to optimize employee experiences.
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