Dein persönlicher KI-Karriere-Agent
Agentic AI Engineer(m/w/x)
Designing enterprise agent frameworks and reusable infrastructure for multi-agent systems. Production experience with LLM-based applications and RAG required. Equal pay, Swiss LGBTI label, Fair-ON-Pay Advanced certification.
Anforderungen
- Bachelor's or Master's degree in Computer Science, Engineering, AI, or equivalent practical experience
- Strong hands-on experience building and deploying LLM-based applications or agentic systems in production
- Tool/function calling and structured outputs
- Retrieval-Augmented Generation (RAG)
- Multi-step workflows and orchestration logic
- Context management and reliability techniques for LLM systems
- Experience implementing evaluation frameworks and regression testing for AI systems
- Experience integrating AI services into backend systems and cloud-native environments
- Strong software engineering skills in Python, API design and containerized deployments
- Familiarity with observability, monitoring and production operations for distributed systems
- Ability to reason about system boundaries, autonomy levels and failure modes
- Experience working in cross-functional product teams in federated or hub-and-spoke delivery environments
- Fluent in English
- German is a strong advantage
Aufgaben
- Design and evolve enterprise agent frameworks
- Develop reusable agent infrastructure
- Engineer structured single-agent and multi-agent systems
- Define architectural patterns for distributed agent workflows
- Implement reliability patterns for LLM-based systems
- Optimize latency, token efficiency, and cost-per-interaction
- Apply context management and grounding techniques
- Engineer high-quality prompts and system instructions
- Define and maintain prompt libraries and versioning standards
- Design multilingual conversational flows
- Design and maintain evaluation harnesses
- Define measurable acceptance thresholds
- Monitor production behavior and performance metrics
- Integrate agentic systems into enterprise channels
- Implement observability standards
- Support go-live and post-incident improvement cycles
- Implement bounded autonomy and human-in-the-loop control
- Enforce guardrails and policy compliance
- Collaborate with Security, Privacy, and Governance teams
- Design and implement intelligent agents for customer operations
- Develop and integrate specialized agents into multi-agent architecture
- Deploy AI copilots for internal teams
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- LLM
- Python
- API
- Docker
Benefits
Sonstige Vorteile
- Swiss LGBTI label
- Fair-ON-Pay Advanced certification
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Agentic AI Engineer(m/w/x)
Designing enterprise agent frameworks and reusable infrastructure for multi-agent systems. Production experience with LLM-based applications and RAG required. Equal pay, Swiss LGBTI label, Fair-ON-Pay Advanced certification.
Anforderungen
- Bachelor's or Master's degree in Computer Science, Engineering, AI, or equivalent practical experience
- Strong hands-on experience building and deploying LLM-based applications or agentic systems in production
- Tool/function calling and structured outputs
- Retrieval-Augmented Generation (RAG)
- Multi-step workflows and orchestration logic
- Context management and reliability techniques for LLM systems
- Experience implementing evaluation frameworks and regression testing for AI systems
- Experience integrating AI services into backend systems and cloud-native environments
- Strong software engineering skills in Python, API design and containerized deployments
- Familiarity with observability, monitoring and production operations for distributed systems
- Ability to reason about system boundaries, autonomy levels and failure modes
- Experience working in cross-functional product teams in federated or hub-and-spoke delivery environments
- Fluent in English
- German is a strong advantage
Aufgaben
- Design and evolve enterprise agent frameworks
- Develop reusable agent infrastructure
- Engineer structured single-agent and multi-agent systems
- Define architectural patterns for distributed agent workflows
- Implement reliability patterns for LLM-based systems
- Optimize latency, token efficiency, and cost-per-interaction
- Apply context management and grounding techniques
- Engineer high-quality prompts and system instructions
- Define and maintain prompt libraries and versioning standards
- Design multilingual conversational flows
- Design and maintain evaluation harnesses
- Define measurable acceptance thresholds
- Monitor production behavior and performance metrics
- Integrate agentic systems into enterprise channels
- Implement observability standards
- Support go-live and post-incident improvement cycles
- Implement bounded autonomy and human-in-the-loop control
- Enforce guardrails and policy compliance
- Collaborate with Security, Privacy, and Governance teams
- Design and implement intelligent agents for customer operations
- Develop and integrate specialized agents into multi-agent architecture
- Deploy AI copilots for internal teams
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- LLM
- Python
- API
- Docker
Benefits
Sonstige Vorteile
- Swiss LGBTI label
- Fair-ON-Pay Advanced certification
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Sunrise GmbH
Branche
IT
Beschreibung
Das Unternehmen bietet eine moderne Ausbildung in der Plattformentwicklung und fördert Innovation in der IT-Branche.
Noch nicht perfekt?
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FullStack AI Engineer(m/w/x)
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