8 дней назад
Senior GenAI Engineer
63 000 - 73 000CHF
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior GenAI Engineer (Agentic AI/LLMs): Developing Board AI Agents across architecture, implementation, deployment, monitoring, and continuous improvement with an accent on agent orchestration, prompt engineering, LLM integration, and evaluation frameworks. Focus on building scalable and reliable enterprise AI systems, optimizing model performance, applying RAG and tool integration, and establishing secure, observable, and responsible GenAI engineering practices.
Location: Chiasso, Ticino, Switzerland
Annual gross salary: CHF 63,000–73,000
Company
develops an agentic planning platform that combines enterprise data, planning models, domain expertise, scenario modeling, and enterprise AI to support faster and more aligned decision-making.
What you will do
- Design and evolve scalable, reliable, and maintainable agentic AI architectures for Assistants.
- Lead the end-to-end development of AI agents, from technical design and prototyping through production deployment, monitoring, and improvement.
- Define prompt engineering strategies, agent orchestration patterns, and LLM configurations.
- Build evaluation frameworks for agent architectures, prompts, model selection, and system performance.
- Establish best practices for testing, observability, security, performance optimization, and responsible AI.
- Collaborate with product, UX, solution, and engineering stakeholders while mentoring engineers and evaluating emerging GenAI technologies.
Requirements
- Solid software engineering and architecture experience with production-grade, scalable solutions.
- Deep expertise in generative AI, LLMs, agentic AI, agent orchestration, and tool integration.
- Experience designing, developing, and deploying GenAI applications in production.
- Strong knowledge of prompt engineering, LLM evaluation frameworks, performance optimization, APIs, and retrieval-augmented generation.
- Strong Python programming skills and familiarity with modern software development practices.
- Experience with cloud-based AI services, technical decision-making, mentoring, and cross-functional collaboration.
Nice to have
- Experience with Microsoft Azure.
- Background in FP&A, S&OP, or Retail Planning solutions.
Culture & Benefits
- Open collaboration across teams and borders.
- Growth mindset focused on achieving results and sharing success.
- Commitment to diversity, inclusion, belonging, and equal employment opportunity.
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