Hire remote forward deployed engineers from Entrans and get senior FDEs who build in your cloud, your repositories, and your CI/CD. They are remote in location but embedded in how they work, and each one answers to a metric your business already tracks. You see evidence of the outcome before you commit.

Most remote hiring trades control for cost. A remote FDE from Entrans keeps what matters in forward deployment. That means real access to your systems, a shared metric, and ownership through production.
Distance does not limit the work. Our FDEs join your standups and build inside your cloud and repositories. That is how our pods worked for a global retail brand and a multi-site healthcare network.
Each remote FDE works against a measure you already report, such as activation, retention, or AI-channel revenue. Fees connect to the result, not to time logged.
Access and data boundaries are set before work starts. Entrans holds ISO/IEC 27001:2022 and SOC 2 Type II, and every agent ships with guardrails, audit trails, and its own identity.
Entrans works from the United States, the United Kingdom, the UAE, and India. You get engineering depth plus people close enough to understand the business behind the build.
Remote FDEs connect agents to SAP, Salesforce, WhatsApp, and your existing APIs through typed tools. Your current platforms stay in place while AI starts working inside them.
Every remote FDE works through the same six-step Entrans framework. Product companies usually start at Connect, Evaluate, and Discover. Enterprises usually start at Connect and Ground.
Remote FDEs turn your product and enterprise APIs into MCP tools that any AI assistant can call. Agents reach SAP, Salesforce, and your own services safely, through typed tools.
Engineers package your policies, catalog, and knowledge as structured context agents can use. Every answer traces back to your data, which keeps made-up facts out of production.
Agent-to-agent (A2A) flows coordinate work across your systems and partners, with people kept in the loop where it matters. Our AI-driven automation team applies the same pattern across business workflows.
A regression-gated eval harness ships with every model and prompt change. Precision, recall, and F1 are checked before each release, backed by our DataOps and MLOps practice.
Agent identity, guardrails, and audit trails are built in from the start. The system is designed to clear your security review and, where it applies, your regulators or your customers' CISOs.
Remote FDEs help your product surface when buyers ask ChatGPT, Claude, Gemini, or Grok. AEO attribution measures how often that happens, so visibility becomes a number you can track.
A remote FDE works wherever your systems live, from public cloud to the data platforms you already run. Our enterprise cloud solutions team supports the infrastructure side.
Remote hiring should not mean losing track of who can reach what. You approve every engineer, and access is scoped before anyone touches your systems.
Tell us the outcome you need, the systems involved, and where your teams work. We map the request to an entry point, such as a readiness assessment or a proof-of-value pilot.
Review remote FDE profiles matched to your stack and to the framework step you need first, whether that is Connect, Ground, or Evaluate.
Run your own technical rounds over video. For scoped work, we can validate the outcome on your data first, so you hire on evidence.
Access requests, data boundaries, and contracts move in parallel. Your remote FDE joins standups and starts building in your environment.
Add a second engineer or grow into a remote FDE team as new workflows prove their value. Once the system is live, your team can own it or hand ongoing operations to Managed AgentOps.

One senior remote forward deployed engineer works full time on your program and owns a single business measure from discovery to production. Best when one high-value workflow needs a clear owner.

Add remote FDE engineers to the team you already run. When the work spans data, agents, and evaluation, grow into a remote forward deployed engineering team. If your engineer must also deploy into your own customers' systems, hire a dedicated forward deployed engineer instead.
Scope a Proof-of-Value Pilot or a Build and Transfer project. Entrans engineers the system inside your environment, and your team owns and runs it from day one of production.
Entrans FDEs have taken AI to production for retail, healthcare, and finance teams, building inside each client's own cloud rather than a separate vendor setup. The same discipline carries into lending, workflow automation, and software modernization across the industries below.
Yes. Forward deployment depends on access to your real systems, data, and teams, not on a desk in your office. Entrans FDEs build inside client clouds and repositories and work with product, security, and compliance teams through the whole build.
Access starts with data-boundary design that sets what each engineer and each agent can reach. Entrans is certified to ISO/IEC 27001:2022 and holds a SOC 2 Type II report. Agents ship with their own identity, guardrails, and audit trails, so every action can be traced.
Pricing depends on how many engineers you need, how long they stay, and which entry point you choose. Entrans ties fees to the result delivered instead of billing for hours. Because the outcome is validated on your own data first, you can judge the value before a formal engagement starts.
Entrans has teams in the United States, the United Kingdom, the UAE, and India. Working hours and overlap with your team are agreed when the engagement is scoped, so standups, reviews, and releases happen at times that suit you.
A remote software developer usually works through a backlog someone else owns. A remote FDE owns an outcome. They study your environment, shape what gets built, ship it to production, and stay accountable to a business measure.