Agentic AI Engineer - Production-Grade Systems

Job-Room; Zürich; Vor Ort; CHF 120.000 - 170.000; Vollzeit

Zusammenfassung

Job-Room is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and create reusable patterns and accelerators that scale beyond individual engagements.

You will specialize in multi-agent orchestration, RAG pipelines, and integration of diverse LLM providers, with a focus on reliability and observability in

Qualifikationen

• Experience shipping production-grade multi-agent systems in enterprise environments.
• Ability to own eval harnesses and monitor system performance 24/7.

Aufgaben

• 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;
• Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets;
• Integrate and abstract across multiple LLM providers with fallback routing, token, cost, and latency management;
• Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling, cost and safety monitoring;
• Embed directly with client engineering teams to design, prototype, and deploy agentic solutions;
• Build reusable patterns, accelerators, and playbooks that scale beyond the client engagement;
• Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings to client stakeholders in business terms.

Kenntnisse

Multi-agent systems

RAG pipelines

LLMOps

Distributed systems

Client collaboration

Tools

LangSmith

Braintrust

Vector databases

Jobbeschreibung

Job-Room is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and create reusable patterns and accelerators that scale beyond individual engagements.

You will specialize in multi-agent orchestration, RAG pipelines, and integration of diverse LLM providers, with a focus on reliability and observability in