Forward-Deployed Engineers
Engineers who embed with your users and operations, understand the real problem first-hand, and build practical AI solutions where the work happens.
The best AI solutions are built close to the problem.
Distance from users
Requirements passed through several people lose the details that matter.
Slow feedback loops
Weeks pass between a request, a build, and a correction.
Messy real-world systems
Production data and processes rarely match the specification.
Low adoption
Solutions built in isolation don’t fit how people actually work.
Skills they bring.
Problem discovery
Observe workflows and identify where AI and software can help.
Rapid prototyping
Build and test working solutions with users in short cycles.
Full stack engineering
Front end, back end, and integrations in one person.
Applied AI
LLMs, retrieval, agents, and automation applied to real tasks.
Data & integration
Work with your systems, APIs, and data where they are.
Stakeholder communication
Translate between operators, leaders, and technical teams.
How it works.
A straightforward path from requirement to a specialist contributing to your roadmap.
Share your needs
Tell us about the role, skills, team, time zones, and how long you need support.
Learn more about Share your needsMeet specialists
Review profiles and interview the people who match your requirements.
Onboard
Agree working hours, tools, access, and responsibilities, then get started.
Deliver & adjust
Specialists work inside your team and process, and you can scale up or down as needs change.
When to use forward-deployed engineers.
Operations-led AI initiatives
Where the value depends on understanding frontline work.
Customer deployments
Rolling out a product or platform inside client organizations.
Fast-moving pilots
When requirements will evolve as you learn.
Questions about forward-deployed engineers?
How is this different from staff augmentation?
Forward-deployed engineers work directly with end users and operations, owning the problem as well as the code, rather than taking tickets from a backlog.
Do specialists work in our time zone?
Working-hour overlap is agreed before onboarding, based on how closely they need to collaborate with your team.
Who manages their day-to-day work?
Specialists join your team and follow your priorities and processes. Responsibilities are agreed at the start.
Can we scale the team up or down?
Yes. Team size and duration are agreed with you and can be adjusted as your roadmap changes.