AI Native Software Engineer

Location: Hybrid in Saint-Herblain or Brest, France

Company

hirify.global is a global professional services company delivering technology, cloud, data, AI, and digital transformation services to organizations in more than 120 countries.

What you will do

• Architect and govern production-grade agentic AI systems, including multi-agent orchestration, RAG pipelines, policy-based routing, memory management, and lifecycle observability.
• Define RAG standards, embedding and chunking strategies, quality benchmarks, and metric-backed tradeoffs.
• Establish vendor-agnostic multi-LLM integration, fallback routing, token management, cost governance, and provider standards.
• Own programme-scale LLMOps, including evaluation strategy, prompt governance, observability, safety monitoring, and cost controls.
• Lead client architecture sessions, proof-of-concept delivery, and alignment between technology leadership and delivery teams.
• Publish reusable engineering patterns and measure agentic system accuracy, latency, safety, cost, and business impact.

Requirements

• Significant production software engineering experience, with quality of experience weighted more heavily than total years.
• Hands-on experience designing and deploying agentic AI solutions in production is required.
• Production-depth experience with LangGraph, CrewAI, AutoGen, or an equivalent agentic orchestration framework.
• Production experience integrating OpenAI, Anthropic, Vertex AI, or similar LLM APIs, including provider abstraction, token management, latency, and cost tradeoffs.
• Ownership of RAG pipelines covering embeddings, chunking strategy, vector databases, and context engineering.
• LLMOps experience with evaluation harnesses, prompt versioning, and production observability.
• Cloud-native engineering experience with Kubernetes, Docker, microservices, serverless, CI/CD, and infrastructure as code using Terraform or Helm.
• Strong Python skills; Java or an equivalent backend language is acceptable, together with production debugging and observability experience.
• Experience managing, developing, and performance-managing engineers, including individual development plans and career conversations.

Culture & Benefits

• Work across industries, enterprise technology stacks, and organizational complexity through client engagements.
• Access to vendor fellowship opportunities with Anthropic, OpenAI, Microsoft, and Google engineering teams.
• Potential pathway to the Forward Deployed Engineer programme.
• Full-time hybrid work in France.