Forward Deployed Engineer
Fluidstack8 hours ago
Base Salary
$224k - $300k/yr
Responsibilities
- Build software that automates hiring, recruiting-system synchronization, interviewer capacity visibility, and onboarding.
- Create cash forecasting, payment scheduling, capital planning, and financing drawdown workflows tied to construction and procurement milestones.
- Extract obligations, prices, deadlines, penalties, and SLAs from MSAs, change orders, and side letters.
- Embed with finance, treasury, accounting, legal, recruiting, and people teams to convert approvals, contracts, reconciliations, and workflows into structured data and generated work.
- Design solutions, ship production code autonomously, and drive adoption with non-engineering domain experts.
Requirements
- Production experience with Go, Python, or TypeScript and the ability to learn additional languages as needed.
- Experience building real features with LLM APIs such as OpenAI or Anthropic, open-weight models, MCP servers, and agentic frameworks.
- Daily experience using AI coding tools such as Claude Code and Cursor.
- Ability to identify problems, design solutions, and deliver independently under tight deadlines.
- Demonstrated credibility with finance leads, lawyers, recruiters, auditors, or other non-engineering experts and experience driving software adoption.
- Strong product judgment and ability to create interfaces and workflows that match how domain experts work.
- Preferred experience with ERP and fixed asset accounting, FP&A, cash forecasting, capital planning, structured finance, treasury operations, contract lifecycle systems, ATS or HRIS integrations, and LLM extraction from legal and financial documents.
Benefits
- Competitive total compensation package including cash and equity.
- Health, dental, and vision insurance.
- Retirement plan.
- Generous paid time off policy.
Tech Stack
Categories
Forward Deployed
About Fluidstack
Fluidstack provides on-demand GPU cloud infrastructure for AI training and inference, offering dedicated clusters of NVIDIA H200 and GB200 systems. The company sells compute capacity and managed clusters to AI labs, enterprises, and public-sector teams that need high-throughput workloads. Founded in 2017 and headquartered in New York, it is privately held.