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160+

Engineers on call

13+

Years In Operation

1000+

Projects delivered

98%

Client Retention

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  • 7 specialized agents Product Owner, Scrum Master, Architect, Developer, QA, Security, DevOps draft specs, code, tests, and security scans in days, not months
  • Already shipping a live, paid client engagement, not a lab demo
  • Every build stops at two mandatory human gates before it goes further
  • Embeds in your repos, your stand-ups, your security review not a separate vendor queue
  • Holds the senior-developer sign-off gate: nothing ships that they haven’t reviewed against your environment
  • Owns the last mile AI alone can’t: legacy systems, compliance constraints, and the workflows nobody documented

Clients get software built at AI speed, but approved, hardened, and operated by a person who’s accountable to them not a chatbot and not a stranger. That combination is what “hire a Forward Deployed Engineer” means at AddWeb.

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Your AI vendor’s demo worked. Your production environment is where it’s stalling.

Forward Deployed Engineering has become the fastest-growing hiring category in AI because the model was never the hard part. The hard part is fragmented data, legacy systems, compliance constraints, and workflows nobody documented the last mile between a working prototype and a system your security team will actually approve.

Instead of a six-month search for a $300K in-house hire, or a large consulting bench billed by the hour, you get engineers from a 160+ person team who already run production AI infrastructure themselves embedded on your project, accountable to your stack, priced against a scoped outcome.

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multi tenant saas architecture

Row-level security, tenant isolation, per-tenant analytics, usage-based billing.

enterprise SSO integration

OAuth2, SAML, SCIM provisioning, role-based access control across tenants.

customer connector packs

Pre-built integrations for Salesforce, Slack, HubSpot, and Google Workspace with error recovery.

secure customer RAG systems

Document ingestion with permission filtering, citation tracking, and audit logs.

customer health dashboards

Real-time usage metrics, adoption tracking, SLA monitoring, breach alerting.

webhook integration engines

Signature verification, retry with backoff, dead-letter queues, idempotency.

one click customer deployment

Automated provisioning scripts, environment configs, rollback mechanisms.

pll redaction middleware

Detects and masks sensitive data before processing, with audit logging aligned to SOC 2 and GDPR requirements.

incident response systems

Structured logging, distributed tracing, post-mortem templates, customer comms playbooks.

usage metering and billing

Per-tenant API metering, feature gating, and Stripe usage-based billing integration.

onboarding automation

Self-serve setup flows, guided checklists, in-app docs, time-to-first-value tracking.

deployment documentation

Full runbooks covering architecture, integrations, failure modes, and lessons learned.

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Most FDE providers place a resume. We deploy a team that already operates production AI.

A staffing marketplace can match you with a profile in 48 hours. It cannot tell you whether that engineer has kept an AI system alive through a model update, a compliance audit, and a renewal cycle. We can because we run our own.

The AddWeb AI + FDE pairing above isn’t a slide see how it works, then see it live at addweb.ai.

The same engineers who wire up your RAG pipeline can also build the web application, API layer, and admin tooling it needs to actually ship no hand-off gap between “AI team” and “product team.”

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Four AI products we build and operate ourselves

addweb ai
AddWeb AI

Our customizable AI platform for business workflows the same automation depth we bring to prioritizing and analyzing CRO experiments.

wewp
WeWP

AI-driven WordPress hosting and cloud infrastructure we run for live customers at wewp.io.

ecomsupport360
EcomSupport360

An operated eCommerce support platform at ecomsupport360.com, not a client-only build.

la liga score predictor
La Liga Score Predictor

A public machine-learning showcase demonstrating our applied-ML engineering, live on our own site.

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Credentials your security and procurement teams will actually check

DesignRush #1 IT Services Greenville SC (2026)

Independently ranked among the region’s leading IT services firms.

ISO 27001 & ISO 9001

Certified information security and quality management the baseline enterprise FDE reviews require.

Google & Datadog Certified

Google Partner and Datadog Certified credentials that back the cloud and observability layer FDE deployments run on.

Be the Answer: Forward Deployed Engineering, Explained
What does a Forward Deployed Engineer actually do?

A Forward Deployed Engineer embeds inside a customer’s environment to scope, build, and ship an AI or software system end-to-end writing production code, not just strategy documents.

Is hiring an FDE agency different from hiring an FDE recruiter?

Yes. A recruiter places a resume; an FDE partner like AddWeb deploys an engineer backed by an existing engineering organization, security certifications, and operated production systems.

How fast can a Forward Deployed Engineer be embedded on a project?

Discovery and scoping typically take one to two weeks before an engineer is embedded, in line with AddWeb’s standard 2-8 week sales cycle for scoped engagements.

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Option
Speed to embed
Production accountability
Security review readiness
Direct-hire FDE (in-house)
Months hiring bottleneck, not availability
High once hired
Depends entirely on the individual
Recruiting / staffing platform
Days but placement, not delivery, is the product
Limited past the introduction
Varies by candidate, unverified
Large consulting bench
Weeks, often billed by headcount
Distributed across a rotating team
Formal, but slower and costlier
AddWeb embedded FDE pod
1-2 weeks after scoping
Outcome-scoped, same team ships and operates
ISO 27001 baseline already in place
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Where to see the work

AddWeb AI

A live, paid client engagement built on our 7-agent delivery pipeline see the case study and the review gates in action.

Read the article

La Liga Score Predictor

A public ML showcase demonstrating applied model-to-production engineering.

Read the article

Clutch Profile

Independently verified client reviews and delivered engagement history.

Read the article

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01

Discovery

Scope the deployment problem, systems, and compliance constraints.

02

Match & Embed

Assign engineers with matching stack and domain experience into your workflow.

03

Build

Ship working code into your repos and environments, held to the same review rigor as any AI-built PR we ship at AddWeb AI.

04

Harden

Add evals, audit logging, and security controls before production sign-off.

05

Operate & Transfer

Stay through drift and renewal, or hand off cleanly to your internal team.

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Six Commitments Behind Every AddWeb Engagement

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Reviewed where it counts

“The AI-powered platform has completely transformed how we manage our website. Content creation is now faster, user engagement has significantly improved, and our team can focus more on driving community impact instead of handling manual website tasks.”

Founder of CityOutreach

Digital Platform – USA -80% Improved User Engagement

“We’ve tried freelancers. We’ve tried other agencies. Nothing compared to what AddWeb delivered. The quality was extraordinary, the communication was airtight, and at the end of it we had a product we were genuinely proud to put our name on.”

Founder, Digital Product Studio

SaaS Platform · United Kingdom · Verified via Clutch

“What impressed me most was their deep technical expertise combined with a genuinely proactive approach. They didn’t wait to be told there was a problem – they caught it, escalated it, and brought a solution in the same conversation. That’s rare.”

CTO, FinTech Platform

Series B · USA · Ongoing Partnership

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From the AddWeb blog

From Chatbots to AI Copilots: How Drupal Is Integrating Intelligent Content Assistants

Drupal is no longer just “adding AI.” It’s turning AI into a working layer inside the content workflow the kind that helps editors draft, rewrite, tag, summarize, and structure content without bouncing between tools.

Read the case study

How Node.js Is Becoming the Backbone of AI-Powered SaaS Products

In addition to these features, Node.js has become the go-to framework for the backend of many AI-powered SaaS startups owing to its ability to work with data in real time and its huge developer community.

Read the case study

How AI-Powered Impact Forecasting Will Help NGOs Prove ROI Before Programs Even Launch

For NGOs, proving impact has always been harder than proving effort. Donors want confidence before they commit, boards want risk reduced, and program leaders want a clearer picture of what is likely to work before money is spent.

Read the case study

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Forward Deployed Engineers: What Buyers Ask

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Your competitors are already embedding FDEs. Are you?

Book a scoping call and we’ll tell you honestly whether your deployment gap needs one engineer, a pod, or a different kind of help entirely.

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