AI Engineer: Build Reliable AI Agents in Production

jda; Paris; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

Blue Yonder is seeking an AI Engineer to help build the next generation of AI-powered products within Autonomy Labs. You will work closely with model-training teams, data engineers, and product owners to develop agent systems, tools, APIs, and evaluation environments that support training, testing, deployment, and continuous improvement.

You will contribute to software that allows agents to use tools, interact with APIs, and operate under business constraints with robust testing, logging, and

Qualifications

• Around three or more years of software engineering experience, or equivalent practical depth, building and maintaining production software.
• Strong Python skills and experience with backend development, including APIs, data processing, automated testing, and service integration.
• Hands-on experience developing with LLMs, AI agents, machine learning systems, or other data-intensive software.
• Familiarity with tool calling, prompt and context management, retrieval, structured outputs, or agent orchestration.
• A practical understanding of software engineering fundamentals, including maintainability, testing, version control, observability, and secure development.
• Experience working with cloud platforms such as Azure, AWS, or GCP and familiarity with containers and CI/CD workflows.
• The ability to investigate unfamiliar systems, break down problems, incorporate feedback, and deliver reliable work within a larger technical design.
• Clear communication skills and a collaborative approach to working with engineers, researchers, data specialists, and product teams.

Responsabilités

• Build and maintain backend services, APIs, tools, and integrations used by AI agents and model-development workflows.
• Contribute to training and evaluation environments that represent realistic business workflows through APIs, simulations, test scenarios, and reproducible state.
• Implement pipelines and application components that collect and process agent traces, tool calls, workflow outcomes, evaluation results, and user feedback.
• Develop automated evaluations and verification checks for model and agent behavior, including task completion, tool-use correctness, and regression testing.
• Review agent traces and test results to identify failure modes, reproduce issues, and help determine whether improvements are needed in software, tools, data, prompts, or models.
• Work with model-training teams to integrate and assess new models and turn observed behavior into useful engineering feedback.
• Write clean, tested, maintainable Python code and contribute to code reviews, technical documentation, and team engineering practices.
• Improve the reliability and operability of services through logging, monitoring, automated testing, error handling, and support for safe deployments.
• Collaborate with senior engineers on system design and take ownership of scoped components from implementation through testing and operation.
• Learn quickly, share findings, and contribute practical ideas as the team develops new approaches to agent training, evaluation, and production use.

Connaissances

Python

Backend development

LLMs / AI agents

Software engineering fundamentals

Cloud platforms

Outils

Azure

AWS

GCP

Containers

CI/CD

Description du poste

Blue Yonder is seeking an AI Engineer to help build the next generation of AI-powered products within Autonomy Labs. You will work closely with model-training teams, data engineers, and product owners to develop agent systems, tools, APIs, and evaluation environments that support training, testing, deployment, and continuous improvement.

You will contribute to software that allows agents to use tools, interact with APIs, and operate under business constraints with robust testing, logging, and