Lead Forward Deployed AI Engineer
V7
At V7, we’re building AI platforms that help humans do their best work, at incredible scale and speed. Our mission is to turn human knowledge into trustworthy AI, making complex tasks faster, smarter, and more accurate.
We’re growing fast, backed by leading investors and AI pioneers (including the minds behind Transformers and Gemini).
V7 Go is the flagship document processing and workflow automation platform featuring specialized AI agents for finance, insurance, legal, and real estate. V7 Darwin is the computer vision data labelling platform for training custom AI models.
The team you'll be joining and impact you'll have
Join a high-performing but newly formed team of six as the hands-on technical leader who coaches while delivering strategic deals.
Own end-to-end technical scoping on major accounts while scaling repeatable solutions across the entire FDE team
Drive detailed and efficient pre-sale turnarounds and healthy post-sale pipelines that fuel company growth.
Balance 20-30% hands-on delivery with mentoring that raises the bar on team standards and capabilities
What you'll be doing from day one:
Build and present workflow solutions combining prompt engineering, data pipelines, and multimodal AI to solve customer problems like image recognition and document processing
Coach an FDE team through technical reviews, playbook creation, and output validation while delivering your own high-impact projects
Own pre-sale scoping and SOW validation to accelerate deals, plus drive post-sale delivery that generates ongoing opportunities per account
Partner with Product and Engineering on integrations, triage complex issues, and juggle up to five concurrent projects across timezones
Who you are
Player-coach with a background of Solutions or Forward Deployed Engineering and 2+ years of coaching small teams
Ideally you will have deep LLM expertise: API integration, prompt engineering, RAG, SFT—you've scoped complex AI projects recently.
Strong Python skills with production demo experience, plus ML-ops and cloud deployment knowledge.
Natural communicator who builds opportunity pipelines with AEs and presents to all stakeholder levels
Average salary estimate
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