11 часов назад
Senior Applied AI Engineer, Agentic Systems
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Applied AI Engineer, Agentic Systems (AI/LLM): Building production-grade AI agents, RAG applications, orchestration patterns, and reusable skills for scientific, service, commercial, and operational workflows with an accent on reliability, observability, evaluation, and responsible governance. Focus on designing composable systems, embedding regression testing and monitoring, and implementing identity controls and human-in-the-loop approval for regulated and GxP-relevant use cases.
Location: Barcelona, Spain
Company
advances scientific discovery, diagnostics, and applied market solutions through laboratory instruments, software, consumables, services, and domain expertise.
What you will do
- Define architecture and build approaches for agentic AI use cases, selecting suitable agents, RAG, retrieval, and orchestration patterns.
- Build reusable AI skills and integrations with shared platform services, including identity, access, and governance controls.
- Embed evaluation, testing, observability, benchmark sets, regression testing, and production monitoring into AI delivery.
- Implement AI solutions that meet security, compliance, governance, and human-in-the-loop requirements for regulated and GxP-relevant use cases.
- Contribute reusable skills, orchestration patterns, and evaluation assets to the broader AI platform.
- Partner with and upskill domain subject-matter experts and business practitioners while improving platform capabilities.
Requirements
- Strong full-stack engineering background with experience delivering LLM applications into production.
- Experience building AI agents, RAG solutions, evaluation frameworks, observability capabilities, and deployment processes.
- Working familiarity with MCP or equivalent tool-use protocols and composable systems architecture.
- Experience or willingness to work in regulated environments with audit trails and responsible AI controls.
- Excellent communication skills and the ability to work with scientists, service leaders, commercial operators, executives, and technical stakeholders.
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent practical experience; typically 8+ years of relevant experience.
Culture & Benefits
- Full-time weekly schedule with a day shift.
- Approximately 10% travel required.
- Work focuses on practical AI solutions that create measurable business value.
- Compensation and benefits vary by country, work location, skills, experience, and education or training.
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