Applied AI Engineer Agentic Systems (m/f)

Aufgaben

• You design and build production-grade agentic systems end to end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management and lifecycle observability.
• You build and own RAG pipelines covering embeddings, chunking strategy, vector search and context window engineering against real quality targets.
• You integrate and abstract across multiple LLM providers with fallback routing and token, cost and latency management.
• You implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling, cost and safety monitoring.
• You embed directly with client engineering teams for workshops, proofs of concept, code-with sessions and architecture walkthroughs.
• You build reusable patterns, accelerators and playbooks that scale beyond a single engagement.
• You define and use metrics for agent accuracy, latency, safety and cost-effectiveness and present findings in business terms.

Anforderungen

• Extensive software engineering experience in production environments
• Hands-on experience designing and deploying agentic AI solutions in production - non-negotiable
• Demonstrated experience with agentic orchestration frameworks such as LangGraph, CrewAI or AutoGen at production depth
• Direct experience calling LLM APIs in production code: provider abstraction, token management, latency and cost trade-offs
• RAG pipeline ownership: embeddings, chunking strategy, vector databases and context engineering
• LLMOps fundamentals: eval harness design, prompt versioning and production observability
• Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD and infrastructure as code with Terraform or Helm
• Strong Python; Java or an equivalent backend language is acceptable

• Monitoring
• Python
• Machine Learning
• JAVA

Wir bieten

• Flexibility to work from an office, remotely or directly with clients
• Extensive learning and development opportunities
• Dedicated mentoring and structured onboarding from day one
• A workplace culture that celebrates diversity, inclusion and belonging

Sonstiges

Job Informationen Location: Zurich (office, remote or on client site) Workload: Full-time Start: By agreement