AI Software Engineer (Fullstack)

We're looking for someone who: - Has shipped production LLM systems - not prototypes, not hackathon projects. You can talk through an agent or workflow you've built, including its failure modes and the evals you put around it. - Operates with high agency in ambiguous environments. You don't need a PRD to start moving. - Is genuinely fullstack - comfortable from Postgres up through React, and not allergic to either end.

Bonus points fo Golang experience. - Communicates clearly across engineering, product, and design. Low ego, collaborative, direct. - Cares deeply about reliability and craft. AI quality, latency, and cost tradeoffs are second nature. - Thrives in a fast-paced startup environment where the surface area is wide and the leverage is real. - Embodies our core values: Be Curious, Customer Obsession, and Keep It Simple.

About Clearstory Clearstory is a first-of-its-kind, category-defining SaaS company revolutionizing how commercial construction teams manage and communicate change orders. Our platform digitizes and automates outdated, manual workflows, bringing efficiency, transparency, and collaboration to one of the most critical (and historically underserved) parts of construction.

We are: - A Series B, 100% SaaS company. - Trusted by over 50% of ENR's 2025 Top 50 GCs nationwide, with 14k+ contractors on the Clearstory network. - Processing $3B in change orders shared monthly across our platform. - Solving a multi-billion dollar problem with strong product-market fit. - Led by a team with deep expertise in both construction and software.

Requirements - 2-3+ years of professional software engineering experience, including production work on AI/LLM systems. - Strong proficiency in Python and TypeScript, including async programming. - Fullstack production experience - React/TypeScript on the frontend, modern backend services, REST APIs, Postgres. - Hands-on experience with modern LLM tooling: prompt engineering, function/tool calling, RAG patterns, vector stores, and at least one major model provider (Anthropic, OpenAI, Google). - Experience designing and running evaluation frameworks for LLM systems. - Comfort with cloud infrastructure (GCP preferred; AWS or Azure acceptable), Docker, and CI/CD. - Strong written and verbal communication - you can scope an agent with product, explain tradeoffs to an exec, and write docs your teammates actually want to read.

Nice to Have - Experience with agent orchestration frameworks (LangGraph, CrewAI, Claude Agent SDK) and observability tooling (Braintrust, LangSmith, Datadog, or equivalent). - Familiarity with MCP (Model Context Protocol) and building MCP servers or skills. - Experience with BigQuery, ClickHouse, or similar analytics warehouses. - Previous work in ConTech, FinTech, or other regulated enterprise verticals. - Background as a founding engineer or in an applied AI / platform engineering role at a fast-moving startup.

Benefits - Competitive salary and equity. - Subsidized healthcare, vision, and dental coverage. - Access to frontier AI tools and internal AI tooling to accelerate your work. - Access to online learning and professional development resources. - Regular interaction with executive leadership. - A collaborative and mission-driven team environment.