Forward Deployed Engineer
About The Position
Our client is a Lightspeed-backed AI holding company modernizing the architecture, engineering, and construction industry. The company acquires profitable engineering firms and embeds software teams directly with their operators to identify high-leverage workflows and ship applied-AI products. It has raised a $5M seed round, has $100M in acquisition capital, and is building a small, founder-minded team in New York. You will embed directly inside acquired engineering firms and own the complete arc from customer discovery to production deployment. This is a true forward-deployed engineering role: you will build software, develop trusted operator relationships, make product decisions from noisy feedback, and turn one firm's successful workflows into reusable platform capabilities. You will work on-site with acquired firms, own discovery through production iteration, build full-stack applied-AI products, lead working sessions with non-technical users, and mentor junior engineers.
Requirements
- 5+ years of full-stack product-engineering experience, including genuine customer-facing or forward-deployed ownership.
- Demonstrated ability to own discovery, build, deployment, and iteration end to end with real users.
- Strong product judgment and the ability to translate ambiguous operator pain into clear build decisions without detailed specifications.
- Production experience with LLMs, RAG, agent frameworks, document parsing, or adjacent applied-AI systems.
- Excellent English communication.
Nice To Haves
- Experience as a founder, founding engineer, early engineer at a Seed-to-Series-C startup, or an FDE is especially relevant.
- Willingness to travel Monday through Thursday, two to three weeks per month, during the first 100 days after an acquisition.
Responsibilities
- Embed directly inside acquired engineering firms and own the complete arc from customer discovery to production deployment.
- Build software.
- Develop trusted operator relationships.
- Make product decisions from noisy feedback.
- Turn one firm's successful workflows into reusable platform capabilities.
- Work on-site with acquired firms.
- Own discovery through production iteration.
- Build full-stack applied-AI products.
- Lead working sessions with non-technical users.
- Mentor junior engineers.
Benefits
- $200K-$300K base salary.
- 0.1%-0.75% non-dilutive profit interests with anti-dilution protection at platform acquisitions.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
