Forward Deployed Engineer

2 to 5+ years of engineering experience More is a plus, but we also embrace young, smart engineers looking to quickly gain experience and become a future leader in a rapidly growing enterprise software company. Across some combination of data engineering, full-stack development, and AI or ML work. You do not need depth in all three, but you need to have shipped production systems in at least one and be hungry to learn the others fast.

Strong data fundamentals Comfortable with SQL, Python, data modeling, and the bronze / silver / gold medallion pattern (or equivalent lakehouse / warehouse patterns). Hands-on experience with AWS is required (our primary stack), and experience with Microsoft Azure is a plus since we integrate with it as well.

Real prompt and context engineering chops You have built with LLMs in production, not just on weekends. You understand the difference between a prompt that works on a demo and one that works on 10,000 real records. You know how to design tool use, structure context, evaluate outputs, and debug agent behavior.

Full-stack range Comfortable shipping across frontend (React / TypeScript), backend (Python / Node / .NET), and cloud infrastructure. You understand what Dev, QA, UAT, and Prod environments are for and why they matter. You know how to read a pull request and leave a useful review.

Client-facing presence You have led calls with client teams. You have presented to executives. You can translate a technical result into a business outcome and a dollar amount without being prompted. You are comfortable being the face of the company on a customer call.

AI-native operator You use Claude Code, Codex, Cursor, or similar tools every day and have opinions about them. You see AI tools as the way to punch above your weight, not a crutch. You are excited about walking into problems you cannot yet solve and solving them anyway.

Comfort with ambiguity Early-stage startup energy. Things break. Scope changes. Clients ask for things that were not in the SOW. You handle it and keep the trains moving.

Experience in manufacturing, quality, or supply chain domains (root cause analysis, CAPA, quality investigations, S&OP, logistics).

Experience with Microsoft Fabric, Power BI, or the broader Microsoft data stack (we integrate with Azure).

Experience with Teams bot development, Microsoft Graph, or Microsoft Bot Framework.

Experience building with Anthropic, OpenAI, or AWS Bedrock model APIs at production scale.

Prior forward-deployed, solutions engineering, or implementation engineering experience at a B2B SaaS or AI company.

Bilingual (English / Spanish) is a plus given our distributed team.

Send a short note explaining what you have shipped recently, a specific example of an AI or agent system you built, and why this role fits you now. Links to code, writeups, or product demos are welcome in place of a resume.