Hire Forward Deployed Engineers
Engineers who sit with your team, your users and your data, and take real business problems all the way to working software and AI in production.
Not extra hands for a ticket queue. Engineers who own the outcome, inside your team, from first conversation to production.
What is a forward
deployed engineer?
A forward deployed engineer is a software engineer who works embedded with a customer: inside their team, close to the people who use the product and close to the data it runs on. Instead of waiting for a finished specification, they help shape the problem, build the solution and stay until it works in production.
The role started at enterprise software companies that had to deploy complex platforms inside customer operations. It is now common at AI companies, because AI projects succeed or fail on details that only show up in real data, real workflows and real users.
At WeyBee, every engineer we place works this way. They join your stand-ups, tools and code reviews, learn your business, and are measured on what reaches production, not on hours logged.
From problem
to production.
Shape the problem
Work with your product owners and users to turn a business need into a buildable plan.
Build and ship
Write production code in your repositories, through your reviews and release process.
Work on real data
Connect to your systems, clean the data and build on what you actually have.
Bring AI in safely
Add assistants, agents and AI features with evaluation, guardrails and cost tracking.
Integrate
Wire new software into your ERP, CRM, product and messaging tools.
Run it
Monitor, fix and improve what they shipped, so it keeps working after launch.
How it differs from
other models.
All three models add engineering capacity. They differ in who owns the problem and who stays when it reaches production.
| Forward deployed engineer | Typical staff augmentation | Outsourced project | |
|---|---|---|---|
| Who sets the problem | Shaped together with your team | You, through tickets | Fixed in a contract upfront |
| Where they work | Inside your team, tools and rituals | Inside your team | In the agency's own process |
| What they are measured on | Outcomes in production | Tasks completed | Delivery against the scope |
| Contact with users and data | Direct and continuous | Varies | Through account managers |
| After launch | They stay, run and improve it | Depends on the contract | Handover, then support tickets |
| Best for | AI, new products and complex change | Adding a specific skill quickly | Well-defined, stable scope |
Forward deployed engineers
for every layer.
Hire one engineer or a pod. Each role below works the forward deployed way.
AI Engineers
Assistants, agents, document AI and machine learning features.
.NET Developers
ASP.NET Core platforms, APIs and AI added to existing .NET products.
Python Developers
Back ends, data processing, automation and AI services.
Data Engineers
Pipelines, crawling, ETL and the data AI depends on.
Full Stack Developers
Product features end to end, from database to interface.
React Developers
Fast, accessible React and Next.js front ends.
Mobile App Developers
Flutter and native apps connected to your platform.
QA Engineers
Manual and automated testing inside your release process.
From requirement
to first sprint.
Share
- Skills
- Seniority
- Time zone
Tell us the problem, the stack and how the engineer will work with your team and users.
Shortlist
- Profiles
- Assessment
- Interview
We share vetted profiles. You interview and choose who joins.
Onboard
- Tools
- Access
- First sprint
The engineer joins your tools and rituals and starts on real work.
Support
- Check-ins
- Training
- Continuity
We stay involved with regular check-ins, training and replacement if ever needed.
Ways to hire.
Forward deployed engineer
An engineer embedded in your team, working only on your product, in your sprints.
Part-time specialist
Senior expertise for reviews, architecture or a specific stream.
Pod with a lead
Forward deployed engineers with QA and a lead, owning a part of your roadmap.
Trial period
Start with one engineer and grow once the fit is proven.
Production, not prototypes
We build and run platforms that businesses rely on every day. AI work is held to the same standard.
Long partnerships
Clients keep working with us for years, and 95% of them stay. Our longest-running teams have grown products from first release to market leader.
Transparent operations
Shared boards, weekly demos and direct access to the engineers doing the work. No surprises.
Forward deployed engineers
Vetted engineers who embed in your team, close to your users and data, and own delivery end to end. The whole team trains continuously, including in AI engineering.
Data and integration depth
AI projects succeed or fail on data, integrations and security. That is the engineering we do every day.
Ethics above all
Your data, code and IP stay yours. We tell you when something will not work before you pay for it.
Where our forward deployed
engineers work.
Platforms our engineers build and run inside client teams, anonymised under client confidentiality.
AIHiring
questions.
What is a forward deployed engineer?
A forward deployed engineer is a software engineer who works embedded with your team, close to your users and data. They help shape the problem, build the solution and stay with it until it works in production.
How is a forward deployed engineer different from staff augmentation?
Staff augmentation usually adds an engineer to work through your backlog. A forward deployed engineer also works inside your team, but takes ownership of an outcome: they help define the problem, talk to users and stay accountable for what reaches production.
How is it different from hiring an agency or consultants?
An agency delivers a fixed scope through its own process, and consultants often advise without building. Forward deployed engineers build in your repositories and tools, alongside your people, and adapt as the problem becomes clearer.
Which skills can you provide?
AI and LLM engineering, .NET, Python, data engineering, React and full stack, mobile apps and QA. You can hire one engineer or a pod with a lead and QA.
How quickly can a forward deployed engineer join?
Typically two to four weeks from agreeing the profile, depending on seniority and skills. We share vetted profiles within a few working days.
Do I interview the engineer?
Yes. You interview shortlisted engineers and decide who joins your team.
Who owns the code and IP?
You do. Engineers work in your repositories and all IP belongs to you. We sign an NDA on request.
Which time zones do you cover?
Engineers work IST with agreed overlap hours for the US, UK, Europe, Israel, the Middle East and Australia.
What if the engineer is not the right fit?
We replace them and stay involved through regular check-ins with you and the engineer.
Ready to hire forward deployed engineers?
Share the problem and the role. We'll send vetted profiles within a few working days.