Founding Software Engineer

Terralyn is an AI sustainability analyst focused on global regulations and emission factors, aiming to build a definitive expert in sustainability. The Founding Software Engineer will be responsible for platform architecture, SOC 2 compliance, and developing AI-driven systems, while working closely with an early-stage team to innovate in the sustainability space.

Responsibilities:

• Platform and database architecture. Schema, query performance, multi-tenant isolation, and immutable audit logging. Audit-grade provenance is built into every aspect of the platform
• Audit-grade provenance. Every number, claim, and chart traces back to a section and page of a source document. You design the storage, retrieval, and citation primitives that make that real, not aspirational
• Security, privacy, and SOC 2. Drive Terralyn through SOC 2 compliance. You have either done this before or have read enough to know what the evidence-collection window costs an engineering team
• DevOps and CI/CD. Pipelines, monitoring, alerting, testing, incident response. Long agent runs (10+ minutes) without orphaned state, dropped streams, or silent failures
• AI engineering inside the agent stack. Work alongside the team on the agentic core: context management, memory, evals, agentic search, skills, token caching, subagents, MCP. You don't need to have shipped all of this. You do need to understand it, have opinions about it, and turn those opinions into infrastructure

Requirements:

• 5+ years experience or amazing software you've shipped that we can look at
• Experience building production systems at established tech companies or startups
• Native to tools like Claude Code and Codex
• Experience with platform and database architecture, schema, query performance, multi-tenant isolation, and immutable audit logging
• Experience driving SOC 2 compliance
• Understanding of security, privacy, and data privacy requirements
• Experience with DevOps and CI/CD, including pipelines, monitoring, alerting, testing, and incident response
• Understanding of AI engineering inside the agent stack, including context management, memory, evals, agentic search, skills, token caching, and subagents
• Ability to work on a small team and take end-to-end ownership of projects
• Comfortable with ambiguity and understanding of the quick shifts in the AI landscape
• Familiarity with ESG, carbon accounting, or sustainability reporting frameworks