3 дня назад
Senior AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (LLM/NLP/MLOps): Building and operating production-grade AI capabilities for a cloud-based digital employee experience platform with an accent on LLM applications, NLP, RAG pipelines, multi-agent systems, and evaluation. Focus on designing scalable AI architecture, optimizing inference and cost, implementing MLOps and observability, and mentoring junior engineers.
Location: Lausanne, Switzerland; hybrid work model balancing office and remote work.
Company
provides digital employee experience management software that gives IT teams visibility, diagnostics, and optimization capabilities across enterprise applications, networks, and endpoints.
What you will do
- Prototype, mature, and ship AI-powered capabilities into the cloud platform.
- Design and operate production-grade AI/ML systems, including LLM applications, NLP models, RAG pipelines, and multi-agent systems.
- Make architecture decisions covering model selection, fine-tuning, retrieval, orchestration, infrastructure, latency, and cost optimization.
- Build evaluation frameworks, automated evaluation pipelines, dashboards, and monitoring for production quality and regressions.
- Implement reproducible ML pipelines, CI/CD workflows, and model lifecycle management using AWS or equivalent cloud platforms, Docker, and Kubernetes/ECS.
- Collaborate with product managers, designers, engineers, and data scientists while mentoring junior AI engineers and establishing team standards.
Requirements
- Bachelor’s or 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 with production LLM-powered, ML, or NLP applications, including embeddings, semantic search, retrieval, prompting, evaluation, observability, RAG, or agentic workflows.
- Strong proficiency in Python, AI frameworks, machine learning fundamentals, and MLOps practices such as experiment tracking, automated evaluation, and CI/CD.
- Proven AWS and cloud-based AI deployment experience, with strong data intuition and problem-solving skills.
- Strong English communication skills required for explaining complex AI concepts to technical and non-technical stakeholders.
Nice to have
- 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.
Culture & Benefits
- Permanent contract with a competitive compensation package.
- Flexible hours, unlimited paid time off, 25 days of holidays, and three company-paid volunteer days.
- Hybrid work with a structured office-based approach for new hires and onboarding.
- Relocation package for employees coming from another country.
- Fitness centre access, public transport reimbursement, and reimbursement of up to 50% of French classes.
- Company and team events, including volunteer days, team-building activities, talks, and meetups.
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