AI Engineer

Blue Yonder; Paris; Sur place; EUR 85 000 - 110 000; Plein temps

Résumé du poste

Blue Yonder seeks an AI Engineer to build the next generation of AI-powered products. You will turn capable AI models into dependable software, implementing and improving agent systems and working with teams to understand agent behavior in realistic workflows.

Your role involves creating backend services, APIs, and integrations for AI agents, contributing to training environments, and developing automated evaluations and verifications for model and agent behavior.

Qualifications

• 3+ years of software engineering experience with production software.
• Strong Python skills and backend development experience.
• Hands-on experience with LLMs, AI agents, or data-intensive software.
• Familiarity with tool calling, prompt/context management, and agent orchestration.
• Understanding of maintainability, testing, version control, and observability.
• Experience with cloud platforms (Azure/AWS/GCP) and containers/CI/CD.
• Ability to investigate unfamiliar systems and deliver reliable work.
• Clear communication and collaboration with engineers, researchers, and product teams.

Responsabilités

• Build and maintain backend services, APIs, tools, and integrations for AI agents and workflows.
• Contribute to realistic training/evaluation environments via APIs, simulations, and test scenarios.
• Implement pipelines collecting agent traces, tool calls, outcomes, and feedback.
• Develop automated evaluations and verification for model/agent behavior and regression tests.
• Review traces and results to identify failures and guide improvements in software, tools, data, or prompts.
• Collaborate with model-training teams to integrate new models and derive engineering feedback.
• Write clean, tested Python code and participate in code reviews and docs.
• Improve reliability via logging, monitoring, testing, and safe deployment practices.

Connaissances

Python

Backend development

LLMs

AI agents

APIs

Tool calling

Cloud platforms

Containers/CI‑CD

Communication

Outils

Docker

Kubernetes

CI/CD

REST APIs

Description du poste

About The Role

We are looking for an AI Engineer to help build Blue Yonder's next generation of AI-powered products.

Your Mission

Help turn capable AI models into dependable software. You will implement and improve well-defined parts of our agent systems, contribute to technical design, and work with teammates to understand how agents behave in realistic workflows.

The challenge is not simply to make a model produce a convincing response. It is to build agents that can use tools, interact with APIs, follow business constraints, manage failures, and complete useful work reliably.

What You'll Do

• 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.

What We're Looking For

• 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.

Preferred Qualifications

• Experience creating evaluation cases, reviewing model traces, diagnosing agent failures, or testing nondeterministic systems.
• Familiarity with model-training or post-training concepts such as supervised fine-tuning, preference data, reinforcement learning, reward or verifier design, or checkpoint evaluation.
• Experience with data pipelines, dataset preparation, synthetic data, experiment tracking, or model deployment workflows.
• Experience building simulations, test harnesses, developer tools, or integrations with complex enterprise systems.
• Experience with supply chain, retail, or other environments involving multi-step workflows, permissions, business constraints, and human approvals.

What Makes This Role Different

This role offers the opportunity to develop as a software engineer at the intersection of model development and production AI. You will contribute to real systems that make agent behavior measurable and improvable, while working closely with engineers and model-training specialists on problems that span APIs, data, evaluation, and model behavior.

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours? Find out here: Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.