Mission

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.

Why Now, Why Mirakl

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.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it.

What You'll Do

1. Own AI Strategy for Your Domain

• Define the AI vision and roadmap for your domain
• Identify high-value opportunities with Product Managers and business leaders
• Prioritize investments based on business impact

2. Lead AI System Development

• Design and build production-grade AI systems
• Drive architecture decisions
• Ensure scalability, reliability, and maintainability

3. Drive Adoption & Business Impact

• Work closely with end users
• Measure adoption and outcomes
• Accelerate AI transformation across your domain

4. Establish Technical Excellence

• Promote best practices for evaluation, testing, guardrails, and observability
• Review designs and mentor engineers
• Raise the quality bar across initiatives

5. Grow AI Capability

• Mentor AI Engineers and Agent Builders
• Share knowledge and reusable components
• Build AI expertise within your organization

Success Metrics

• Business impact delivered by AI initiatives
• Adoption within the domain
• Technical quality and reliability
• Team capability growth

Profile

• 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

Tech Stack

• 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