Production AI Agentic Engineer - Multi-Agent Systems

Accenture France; Paris; On-site; EUR 90,000 - 130,000; Full time

Job summary

Accenture France is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI systems across the enterprise technology stack. You will collaborate with client teams, lead technical design sessions, and develop reusable patterns that scale beyond individual engagements.

You will work on end-to-end RAG pipelines, multi-provider LLM integration, and MLOps in production, delivering measurable improvements in latency, safety, and cost.

Qualifications

• 2 to 5 years of software engineering experience in production environments.
• Hands-on experience designing and deploying agentic AI solutions in production environments.
• Experience with agentic orchestration frameworks at production depth.
• Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code.

Responsibilities

• 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 — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management
• Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring
• Embed directly with client engineering teams to design, prototype, and deploy agentic solutions — workshops, proofs of concept, code-with sessions, and architecture walkthroughs
• Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster
• Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms
• 2 to 5 years of software engineering experience in production environments
• Minimum 1 year of hands-on experience designing and deploying agentic AI solutions in a production environment — non-negotiable
• Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level
• Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs
• 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 IaC (Terraform or Helm)
• Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience
• Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure

Skills

Python

LangGraph

Kubernetes

Docker

LLMOps

Production debugging

LLM APIs

Tools

LangSmith

Braintrust

Job description

Accenture France is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI systems across the enterprise technology stack. You will collaborate with client teams, lead technical design sessions, and develop reusable patterns that scale beyond individual engagements.

You will work on end-to-end RAG pipelines, multi-provider LLM integration, and MLOps in production, delivering measurable improvements in latency, safety, and cost.