Overview
In this AI Engineer role within the AI Solutions Team, you identify, validate, and deliver AI solutions that drive measurable outcomes. You will build production-grade, LLM-powered products end-to-end, moving from discovery to value and scaling through reusable capabilities with strong governance over AI-ready data. You’ll work closely with stakeholders to scope high-impact use cases and deploy enterprise-ready AI solutions, including RAG and open-source models, while ensuring security and cost governance. This collaboration-focused role offers meaningful impact at scale.
Leistungen / Benefits
- competitive compensation with performance-based bonuses
- daily lunch allowance
- global professional environment with international exposure
- premium facilities and on-site dining
- gym access with fitness classes
- career development and mentorship programs
Verantwortungsbereiche
- Collaborate with business stakeholders to identify, prioritize, and scope high-impact AI use cases
- Design and deliver AI products end-to-end from problem definition to production handover
- Build AI-powered solutions including data pipelines, RAG and retrieval systems, and enterprise-grade reasoning workflows
- Deploy, serve, and operate open-source models and fine-tune them for domain-specific needs
- Integrate with vendor and internal AI platforms, reusing existing capabilities
- Instrument solutions to track adoption, quality, business value, ROI, cost, and risk
- Partner with technology teams to ensure security, compliance, auditable processes, and maintainability
- Run rapid evaluation cycles and contribute reusable components, patterns, and tools
Zentrale Anforderungen
- 2-6 years of software engineering experience, including financial services exposure
- 2-6 years delivering ML/AI solutions to production (LLM-enabled apps)
- Hands-on experience with RAG applications in production including security, observability, evaluation, cost governance
- Practical experience deploying open-source models to production
- Experience fine-tuning open-source models (e.g., LoRA/PEFT, instruction tuning, dataset curation, evaluation)
- Strong Python skills and ability to design maintainable software in enterprise environments
- Working knowledge of SDLC, version control, and modern DevOps practices
- Ability to translate ambiguous business needs into clear scopes, roadmaps, and measurable success metrics
- collaboration with cross-functional teams
- clear communication of complex concepts
- problem-solving and analytical thinking
- Python programming
- LLM-enabled AI solution design
- RAG and retrieval systems
AI Engineer in Baar Arbeitgeber: Partners Group Holding
Als (Senior) Lead Fund Controller in Zug bieten wir Ihnen die Möglichkeit, in einem dynamischen und internationalen Umfeld zu arbeiten, das durch eine starke Unternehmenskultur geprägt ist. Unsere Mitarbeiter profitieren von wettbewerbsfähigen Gehältern, leistungsabhängigen Boni und umfangreichen Entwicklungsmöglichkeiten durch die PG Academy sowie Mentorship-Programme. Zudem fördern wir die Gemeinschaftsbindung durch Büroveranstaltungen und Freiwilligenarbeit, was unser Engagement für eine positive Arbeitsumgebung unterstreicht.
