Job Details

Full Stack / AI Engineer

Location: San Francisco (Local candidates)
Type: Full-time

About the Company:
We are building modern infrastructure to unlock financing for assets that produce, store, and consume energy. Today, these transactions are slowed by legacy systems and limited access. Our mission is to streamline the process by leveraging smart contracts and AI to reduce friction, open access to capital, and support the energy transition.

The Opportunity:
We are seeking a Full Stack Engineer with AI expertise to design and implement customer-facing workflows powered by AI. The role will be primarily backend-focused, with responsibilities in architecting data models that are populated via customer interactions with LLMs. You will work on creating standardized deal offering pages and deal data rooms from unstructured documents submitted by issuers.

Responsibilities:

• Architect, build, and ship production-grade AI-powered workflows from prototype through deployment.
• Apply modern AI primitives (LLMs, embeddings, vector DBs, retrieval, evals, agentic workflows) to deliver systems with measurable business impact.
• Stay current with rapid AI research and trends to keep our solutions on the frontier.
• Collaborate closely with leadership and receive tight feedback loops and mentorship from the CTO.

• 3+ years building, deploying, and maintaining web applications in a production cloud-native environment.
• 3+ years of experience with Python or another server-side language.
• Proven track record of building and scaling AI-native applications (LLM workflows, RAG, evaluation systems, agent frameworks, etc.).
• Skilled user of AI development tools such as Cursor.
• Hungry, driven self-starter with a history of high agency and attention to detail.

• Experience with Google Cloud.
• Background at an exchange or leading DeFi protocol.
• Passion for climate, financial systems, or the future of infrastructure.
• Experience with Django.

• Competitive salary and equity package.
• Comprehensive health benefits.
• Hands-on mentorship from experienced technical leaders.
• Collaborative, innovative culture at the intersection of AI, finance, and infrastructure.