Staff AI Engineer – Architecture Skills

This is a fully remote position, open to applicants in France.

📋 Description

• Design, prototype, and construct production-ready agentic workflows, custom orchestration layers, and tool-calling integrations.

• Transition AI prototypes into robust, production-level microservices on Azure.

• Ensure that AI components are scalable, low-latency, and seamlessly integrated into the wider technology ecosystem.

• Explore and incorporate Model Context Protocol (MCP), advanced RAG patterns, vector pipelines, and structured LLM outputs.

• Develop operational frameworks for experiment tracking, evaluations, prompt engineering, latency optimization, token budget governance, and model observability.

• Mentor engineering squads focused on agent development.

• Lead technical design evaluations and establish coding standards.

• Benchmark new models, AI tools, and architectures, translating breakthroughs into practical applications.

• Collaborate with data scientists, software engineers, and product leaders to design, prototype, and deploy AI systems into production.

⛳️ Requirements

• Hands-on Staff AI Engineer with extensive practical expertise in modern GenAI/LLM ecosystems and strong backend software engineering skills.

• Demonstrated experience in building with agentic frameworks such as Microsoft Agent Framework, LangGraph, LlamaIndex, OpenAI Agents SDK, or custom orchestration frameworks.

• Practical knowledge of Model Context Protocol (MCP), tool/function calling, structured LLM outputs, and complex RAG pipelines.

• Experience with evaluation frameworks, prompt engineering, tracing, context window optimization, and compute/token governance in a production environment.

• High proficiency in Python, essential for work within the AI ecosystem.

• Solid experience in object-oriented programming (OOP).

• Proven experience in building and scaling backend microservices and REST/OpenAPI endpoints in enterprise cloud environments, particularly Azure.

• Familiarity with vector databases, relational databases, and event-driven patterns like Azure Service Bus and Kafka.

• Comfortable with Docker, Kubernetes, CI/CD, testing methodologies, and Infrastructure as Code using Terraform or Bicep.

• A proactive builder capable of transforming ambitious ideas into functional code.

• Ability to clearly communicate complex AI concepts and architectures to both technical and non-technical stakeholders.

• Capability to experiment with new models, libraries, and research papers to extract product value.

• Skilled in collaboration, mentoring, conducting pair programming, code reviews, and engaging in pragmatic design discussions.

🏝️ Benefits

• Flexible remote and hybrid work options.

• Competitive salary with a variable component linked to individual and company performance.

• Numerous learning and development opportunities, including Focus Fridays—half a day each month dedicated to learning and personal growth.

• Generous paid time off (PTO) and paid holidays.

• Mental health benefits.

• Two MAD Days per year (Make A Difference Days for paid volunteering).

• Additional benefits may be provided based on country eligibility.