Lead AI Engineer

Lead the design, development, and adoption of AI systems within a strategic business domain. You will be part of the AI team, working inside one of our division (Marketing or finance for example) to lead their AI transformation.

You will combine deep AI engineering expertise with product and business understanding to identify high-impact opportunities, define roadmaps, and deliver measurable outcomes.

As the AI technical lead for your domain, you will drive architecture decisions, engineering excellence, and AI adoption across teams and stakeholders. Examples of domains include: Sales, GTM and Marketing or Finance & Legal

This is a permanent position (CDI) based in our Boston office, with 4 days on-site per week.

Generative AI and AI Agents are fundamentally reshaping commerce software.

At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software.

We are looking for a Senior AI Engineer to transform cutting-edge AI technologies into reliable, scalable, and measurable products used by leading enterprises worldwide.

Define the AI vision and roadmap for your domain

Identify high-value opportunities with Product Managers and business leaders

Design and build production-grade AI systems

Drive architecture decisions

Ensure scalability, reliability, and maintainability

Work closely with end users

Measure adoption and outcomes

Accelerate AI transformation across your domain

Promote best practices for evaluation, testing, guardrails, and observability

Review designs and mentor engineers

Raise the quality bar across initiatives

Mentor AI Engineers and Agent Builders

Share knowledge and reusable components

Build AI expertise within your organization

Business impact delivered by AI initiatives

Adoption within the domain

Technical quality and reliability

Team capability growth

7+ years in Software Engineering, ML Engineering, or Applied AI

Strong experience with LLMs, RAG, AI Agents, evaluation, and production systems

Ability to influence Product and Business decisions

Proven leadership on complex cross-functional initiatives

Languages: Python and SQL

AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models

Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases

Infrastructure: AWS or GCP, Docker and Kubernetes

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

#LI-Hybrid

Below you will find the reasonably estimated annual On-Target Earnings (OTE) range for this role. OTE reflects total target compensation, reflective of base salary and variable compensation (e.g., commission or bonus) . Your starting compensation within this range will be based on your relevant skills, experience, and education, with any future adjustments informed by role scope, performance, and internal pay equity. In addition, Mirakl offers a wide range of competitive benefits including health, dental, 401(k) match plan, commuter, and PTO. Find out more about our benefits here .

We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you’re ready to join a global leader powering digital transformation for 450+ of the world’s most innovative retailers and B2B organizations.

As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French.

We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews .