Who We Are
CommerceClarity is an AI‑native startup building the orchestration layer for tomorrow’s commerce.
Our network of specialized agents already powers assortment, product storytelling, pricing, ads, and marketplace execution for ambitious retailers. Backed by leading founders and investors, we’re a small, high‑trust team redefining the operating system of online retail.
How We Work – Our Principles
- Own It. Act like founders, outcomes over titles.
- Transparency, No Ego. Radical candor beats politics; feedback moves us faster.
- Learn Relentlessly. Curiosity is our edge in a world that changes daily.
- Ship Fast, Keep It Simple. Short cycles, minimal complexity, continuous improvement.
- Think Modular. We build with LEGO‑style blocks, ideas, code, products so we can iterate and scale quickly, especially in the AI era.
What Defines Us
- AI Everywhere. Agents run our product and our internal processes. They let us move like a big team, without the overhead.
- High Leverage. Fewer people, bigger impact. No spectators.
- Customer‑Close Experimentation. Tight loops with users let us test, learn, and iterate at speed.
What We Offer
- Ownership & Impact. Your code and ideas reach production and customers fast.
- Rapid Growth. Work in a high-impact team, tackle real complexity, and learn fast through tight feedback loops.
- Ambitious Roadmap. Help craft a foundational platform for global commerce.
- Flexible Hybrid. Milan hub (min. 3 days/week in office) + 4 remote weeks each year.
What’s the Role About?
CommerceClarity is building the agent layer for modern commerce — a connected network of task-specialised AI agents that automate catalog, pricing, media and more, compressing weeks of work into minutes. To scale that vision, we’re looking for an engineer who lives and breathes AI: someone who can craft state-of-the-art LLM pipelines, wire them into production, and continuously improve them based on real-world feedback.
Always AI-first, always learning.
This is a hybrid role (70% AI engineering / 30% product) where you’ll work across experimentation, architecture, infrastructure and delivery, all with speed, pragmatism, and ownership.
Key Responsibilities
- Design, build and refine LLM-powered agents using Python (FastAPI, LangGraph/LangChain) and vector databases
- Own the full experimentation loop: prompt/RAG design, offline evals, online A/B tests, post-deployment monitoring
- Develop agent orchestration logic (memory, tool-calling, multi-step planning, latency/cost trade-offs)
- Collaborate with product and data teams to launch new agents and define success metrics
- Champion DevOps for AI: Docker/K8s, GPU orchestration, model versioning, CI/CD for prompts and weights
- Continuously ask: “Could an agent do this?” — and turn the answer into live automation features
Who You Are
Essential:
- 5+ years in software engineering, 2+ years building LLM or NLP systems in production
- Fluency in Italian and English with strong written communication
- Deep Python expertise (async, typing, rigorous testing)
- Hands-on with vector DBs (Weaviate, Pinecone, Qdrant), embeddings and RAG pipelines
- Experience with orchestration frameworks (LangChain, LangGraph, Haystack) and with both open and closed-source models (OpenAI, Mistral, Llama 3, etc.)
- Solid DevOps for AI: Docker, Kubernetes, GPU scheduling, Terraform
- Clear, concise written communication and openness to transparency
Preferred:
- Experience in B2B SaaS, ecommerce, or agent-based workflows
- Contributor to open-source AI-projects or AI infra tooling
- Experience shipping AI-features