Senior AI Engineer

Sweep is hiring a Senior AI Engineer for our pioneering carbon management software.

Climate change is the defining challenge of our era, and technology is at the center of the fight. At Sweep, we’re building a platform to help companies manage and reduce their climate impact. AI is a core part of our product strategy — especially intelligent agents that support users in navigating complex sustainability and compliance challenges.

Ok, sounds promising. What will I be doing?

As a key member of the AI & Data team, you’ll be focused on building, integrating, and maintaining AI agents that power real user interactions across Sweep’s products. You’ll work closely with product and engineering teams to bring intelligent, conversational, and context-aware agents to life — with a focus on reliability, performance, and impact.
 

More specifically, your mission will involve:

• Building and deploying AI agents – Design and productionize intelligent agents that enhance user experience within our ESG platform.
• Context management & grounding – Build robust pipelines to feed agents the right context from internal data sources.
• Evaluation & quality monitoring – Implement evaluation frameworks and feedback loops to measure usefulness, accuracy, and robustness of agents in production.
• Infrastructure & orchestration – Set up scalable, reliable infrastructure to run agents at scale.
• Agent observability – Ensure proper logging, tracing, and debugging tools are in place.
• Best practices & safety – Define and enforce best practices for agent behavior, including guardrails, fail-safes, fallback strategies, and auditability.
• Cross-team collaboration – Work hand in hand with designers, product managers, and backend engineers to create fluid user experiences powered by AI.

That sounds just right for me. What do I need to bring?

Glad you asked. This is who we’re looking for:

Qualifications 🏆

• 3+ years of experience working in AI, backend engineering, or data-driven product development
• Strong experience in Python
• Solid understanding of GenAI agent architectures, prompt chaining, and context injection
• Experience deploying GenAI features to production with real users — you know what “good” looks like
• Experience with LLM orchestration frameworks
• Experience designing and implementing evaluation methods from predefined test scenarios to insights from real user interactions to continuously refine and improve agent performance
• Comfort with cloud infrastructure, containers, and CI/CD workflows
• Familiarity with observability tools for LLMs and agents

Qualities 🧠

• Passionate about real-world applications of GenAI — you like building useful things, not just playing with models
• Pragmatic and hands-on — you like shipping fast, learning from feedback, and iterating
• You enjoy working across the full lifecycle of an AI agent: from idea, to prototype, to production
• Curious, collaborative, and able to work effectively across engineering, product, and design

Copy that. And what’s in it for me?

Meaningful mission – Work on climate and sustainability challenges with real impact.

Cutting-edge AI – Build AI agents and GenAI systems embedded directly in the product.

High-growth environment – Shape the AI stack in a fast-moving, ambitious startup.
Modern tech stack – From LLM orchestration to cloud infra and vector search, you’ll work on it all.

Flexible setup – Remote-friendly with teams in Paris, London, and Montpellier.

Learning culture – Access to training and certification in GenAI, cloud, and more.

We’re building something bold, and we’d love you to help us shape it.

Ready to join the adventure?