Senior AI Agentic Systems Engineer (Production)

Accenture UK & Ireland

Birmingham

Vor Ort

GBP 90.000 - 140.000

Vollzeit

vor 16 Stunden
Sei unter den ersten Bewerbenden
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Zusammenfassung

Accenture UK & Ireland seeks an experienced AI Engineer to advance production-grade agentic systems for enterprise clients in Birmingham. You will own end-to-end design, implement RAG pipelines, integrate multiple LLM providers, and ensure observability and cost controls in production code.

The role requires hands-on experience shipping multi-agent systems, strong Python and backend skills, and familiarity with Kubernetes, Docker, and cloud-native patterns.

Qualifikationen

  • Extensive production-grade software engineering experience.
  • Hands-on experience shipping agentic AI solutions in production.
  • Experience with agentic orchestration frameworks (LangGraph, CrewAI, AutoGen).
  • Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code.
  • Strong Python and backend language skills; proficiency in debugging and observability.

Aufgaben

  • Design and build production-grade agentic systems end-to-end: multi-agent orchestration and observability.
  • Build and own RAG pipelines: embeddings, chunking, vector search, and context tuning.
  • Integrate across LLM providers with fallback routing, token, cost, and latency management.
  • Implement LLMOps in production: eval harnesses, prompt versioning, observability tooling.
  • Collaborate with client teams for PoCs, code-with sessions, and architecture walkthroughs.
  • Define metrics for agent accuracy, latency, safety, and cost; present to stakeholders.

Kenntnisse

Python
Backend development
Production debugging
LLMOps
System design
Cross-team collaboration

Tools

Kubernetes
Docker
LangGraph
CrewAI
AutoGen
LLM APIs

Jobbeschreibung

Accenture UK & Ireland seeks an experienced AI Engineer to advance production-grade agentic systems for enterprise clients in Birmingham. You will own end-to-end design, implement RAG pipelines, integrate multiple LLM providers, and ensure observability and cost controls in production code.

The role requires hands-on experience shipping multi-agent systems, strong Python and backend skills, and familiarity with Kubernetes, Docker, and cloud-native patterns.

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