Senior Software Engineer, AI Products
Indexed description
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.
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.
- 5+ years of experience in software engineering, including system design, distributed systems, API development, and CI/CD.
- 1+ years of experience developing AI-powered products
- Strong proficiency in Python with hands-on expertise in LLMs.
- 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.
- (Bonus) Experience with building and deploying AI agents, AI frameworks such as LangChain, RAG (Retrieval-Augmented Generation) pipelines and vector databases.
- Infra: AWS, Fargate, Redis, PostgreSQL, SQS, CDK, Github, retool
- Backend: Django REST framework, Celery
- Frontend: Next.js, Tailwind css
- LLM: AWS Bedrock, OpenAI, Claude
- Work Authorization: Authorization to work in the United States or Canada is required.
- Location: This is a hybrid role requiring 2 days of in-person collaboration per week from our San Francisco or Waterloo-Kitchener Offices
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