On-demand Engineering
Senior engineers who act as internal teammates from kickoff. They take ownership, review your code, push back when scope might be off, and focus on solving real problems in your roadmap.
Notable AI work for
Microsoft
Harvard University
Brown University
SellScale
Senior engineers ramped in days, not months. Pay for the throughput, not the recruiting cycle.
Internal teammates from kickoff: code-reviewing and contributing by week 1.
We push back on scope or design choices we'd regret in production, including features that shouldn't be built at all. Better to disagree before code than after.
★★★★★
Very professional and exceeded all my expectations. Highly recommend for anyone seeking expert guidance... Truly one of the best investments I've made. The advice not only helped me complete my project from start to finish but also showed me how to leverage credits and resources I never knew existed.
Tassiana T.
After Five Collective
★★★★★
Delivered our AI requirements to the word. Good background and knowledge related to AI services. Easy and flexible to work with. Even if needed has extended after hours and also provided support over the weekend when required... would definitely recommend if anyone is looking for AI Development.
Suketu G.
MiraLabs AI
★★★★★
Displayed an unwavering professionalism and work ethic from the start of the project and it goes without saying... exceptional content knowledge. Went over and beyond expectations. Produced high quality work in a timely fashion. Nothing was ever too much trouble and was always open to feedback.
Melissa M.
Microsoft Specialization
The company that builds the best AI the fastest wins the race. Yet many tech companies are far behind their roadmaps. Their internal resources are stretched thin, it takes 3-6 months to ramp new developers, and specialized talent is too competitive and expensive to recruit quickly.
We solve those problems through flexible, cost-effective engagements. Proven, vetted senior AI engineers who contribute as internal teammates from kickoff, keep your roadmap ahead of schedule, and fill specialized AI talent gaps while you hire your next FTE.
We've worked with everyone from solo founders to Fortune-ranked companies. Our best clients share a few traits.
You have an existing codebase and know what you need built, but you lack the team to do so and hiring more FTEs doesn't make sense.
You aren't looking for a single tweak. You have multiple agents, features, or a complete product you need built.
You want a team that can ship code AND make architecture decisions, and self-manage without tight hand-holding.
Not sure if you need custom code? You might want our Advisory & Delivery page instead.
Most clients know they're falling behind on their roadmap, but they don't know what to hand off and what to keep in-house. That's why we start every engagement with a free, 1-on-1 audit of your existing roadmap.
In most cases we open our first commit within 1 week of kickoff. Delays only happen if we need a specialized resource sourced first. In production we do more than build: we review your codebase and architecture, find ways to improve overall implementation, and mitigate risk.
We work to make ourselves obsolete by providing features that fit seamlessly into your base and are easy to maintain.
A defined product, feature set, or agent with clear scope and timeline.
A monthly engagement that flexes with your roadmap, with priority on whatever ships next.
A standing engagement with reserved engineering capacity each month, no exact features scoped up front.
A mortgage company wanted to automate customer intake by building custom AI agents to classify and route incoming applications, questions, and documents. The company had the vision but lacked the technical execution to build their AI backend. They hired FullGen, who learned their process, designed a system around it, and created a custom multi-agent architecture that operated with little-to-no manual oversight.
A venture-backed sales-tech company was building an AI outreach platform but didn't have the internal team to keep up with their roadmap. FullGen provided senior AI engineers who reviewed their codebase, architecture, and roadmap, and began to contribute immediately. FullGen's engineers integrated directly into the client's development workflow and shipped production code on schedule for multiple features over a 6-month on-call engagement.
An education-technology company worked with FullGen to build an AI engine that took scattered, unstructured public data across dozens of formats and turned it into a single searchable platform. FullGen then built an additional AI layer and recommendation engine that let students query the database and identify what transfer opportunities were available to them. FullGen developed the core infrastructure and data pipelines — including strategy-level decisions for sources, schema, and architecture — then built the React application frontend.
Our founder is a senior AI architect and engineer who works hands-on with every project, and leads a team of vetted AI experts to execute large-scale implementations.
You'll speak face-to-face with our founder Dev. He'll review your current roadmap, identify if we're the right fit, and where we can contribute the most value to your product, the fastest.
Dev Ramesh
Founder of FullGen
