Senior Software Engineer, AI Products

Join to apply for the Senior Software Engineer, AI Products role at Cambio Base pay range $195,000.00/yr - $235,000.00/yr About Cambio Cambio is a software platform for world‑class real estate decarbonization. We help commercial real estate owners and tenants bring their real estate portfolios to net‑zero using a machine learning‑driven, end‑to‑end real estate sustainability platform. Our mission is to take the real estate industry into the climate action era. We are proud to be the fastest growing startup in our category, with world‑class partners and investors including Y Combinator, Google, the U.S. Department of Energy, Stanford University and Fifth Wall. We are seeking team members who are passionate about building transformative products, enthusiastic about problem‑solving, and excited to work at the forefront of climate and real estate technology. Join us on our mission to achieve net zero by 2050. The role As an AI Engineer, you will play a pivotal role in integrating large language models (LLMs) and machine learning (ML) solutions into our platform and internal systems. Your work will directly impact customer experiences, operational efficiency, and product innovation. Things Our Engineers Love Mission‑driven: Climate can’t wait. We’re building real solutions for one of the most carbon‑intensive industries — real estate. Hypergrowth: We've tripled our ARR last year and we’re on track to do it again. AI‑forward: We're tripling our investment in AI to supercharge our platform and help customers decarbonize faster. World‑class team: Ex‑Google, Bain, Faire, One Medical, OMERS, Goldman Sachs, and more. High ownership: Join early, ship fast, and help shape the product, team, and culture from the ground up. Competitive compensation + meaningful early‑stage equity. What You Will Be Doing Build & Ship AI Based Features – Design, implement, and optimize AI‑driven features for the platform, enhancing customer experience and business impact. AI‑Powered Automation & Tooling – Develop LLM‑based internal automation tools to streamline workflows, reduce manual effort, and improve team productivity. Scalable AI Infrastructure – Build and maintain a ML/LLM pipeline, ensuring robust, efficient, and scalable deployments. Performance & Cost Optimization – Improve AI model performance, balancing speed, quality, and infrastructure costs. Cross‑Functional Collaboration – Work with product, engineering, and data teams to define AI/LLM use cases and share best practices. What We’re Looking For 5+ years technical experience, including experience as a Backend Software engineer working with ML and Gen‑AI; prior startup experience is preferred. Strong LLM & ML expertise: experience with AWS Bedrock, OpenAI, Anthropic, Hugging Face models, or Llama in production; proficiency with prompt engineering, model selection, and ML/AI observability. Technology skills: proficiency in Python, vector databases (FAISS, Pinecone, Weaviate), and retrieval‑augmented generation (RAG) pipelines. Experience with Django, AWS/GCP, and pytest preferred. MLOps experience: familiarity with AI model deployment, monitoring, and scaling in production environments. Problem‑solving mindset: ability to tackle ambiguous AI challenges and develop scalable, efficient AI solutions. Collaboration & communication: comfortable working with engineers, data scientists, and product teams to define and implement AI‑driven features. Our Tech Stack Infra: AWS, Fargate, Redis, PostgreSQL, SQS, CDK, GitHub, Retool Backend: Django REST framework, Celery Frontend: Next.js, Tailwind CSS LLM: AWS Bedrock, OpenAI, Claude Logistics Work Authorization: Authorization to work in the United States or Canada is required. Location: This is a hybrid role requiring 2–3 days of in‑person collaboration per week. If you thrive on creating well‑crafted products and systems that have a disproportionate impact on the real estate industry’s path to net zero, we invite you to join our team. Apply now to embark on this journey with us. Compensation Range: $195K - $235K Referrals increase your chances of interviewing at Cambio by 2x. Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology #J-18808-Ljbffr