Hire Forward Deployed Engineers Who Take AI From Pilot to Production
Your AI pilot worked in the demo. Then it met SAP, a CRM nobody documented, and a security review with no date on it. Hire forward deployed engineers from Entrans to close that gap. Each one is a senior engineer who works inside your environment. They own one number you already track. And they stay until the system is live.
Why Market Leaders Choose Entrans Forward Deployed Engineers
A staff augmentation hire fills a seat. They work the backlog you hand them. Our forward deployed engineers start from the result you need. Then they work back into your systems until it moves.
1. One Pod, One Business Measure
One number. That's the deal. It could be manual review hours or resolution time. A senior engineer owns it. Kafka or HL7 trouble? We'll lend you a specialist for a sprint.
2. No Rip-and-Replace
Your repos. Your pipeline. Your SAP and Salesforce. That's where our engineers build. We don't rip anything out to give the AI a home.
3. Production AI, Not Demo AI
Our engineers have shipped RAG pipelines, agent workflows, and eval suites. It all runs in live enterprise systems. Accuracy is a release gate. We measure precision, recall, and F1 before any model or prompt change goes out.
4. Built to Pass Enterprise Security Review
Security says no first. We start there. Our certifications help: ISO/IEC 27001:2022 and SOC 2 Type II. We put guardrails in early, along with audit trails and agent identity. Our cybersecurity and compliance team checks the work. Your CISO gets something real to review.
5. Proof Before You Commit
Most vendors ask you to fund hours and hope. We prove the outcome first. That happens on your data and your problem, often in a short pilot. You sign a longer deal only after you see results.
Hire Forward Deployed Engineers From Entrans That Are Certified and Experienced
Every Entrans forward deployed engineer is a senior practitioner. They write production code. Here is the work they take off your team, in the order most deployments need it.
Outcome Scoping and Technical Discovery
Week one is for mapping. Systems. Data. Controls. Next, a baseline for the number you want to move. The result is an architecture that fits your real setup. Plus a pass or fail test you both agree on.
Integration and MCP Tool Engineering
Here's where most pilots die. The AI must talk to SAP, Salesforce, ServiceNow, WhatsApp, or your own APIs. Each link becomes a typed tool with tight permissions. Selling software? Your APIs can become MCP tools that any AI assistant can call. Old system on the far end? Our application modernization team helps.
Data Grounding and RAG Engineering
They build the retrieval layer. Every answer then cites your policies, catalog, or records. That means RAG pipelines and vector storage. It also means knowledge graphs and data readiness checks for the use case.
Agent Orchestration With Human Review
Some workflows need one agent. Others need several, passing work between them (A2A). Wherever a wrong answer costs real money, a person stays in the loop. Our agentic AI framework integration team helps with platform picks.
Evals and Red-Teaming Before Release
Eval sets come from your own records. They run in CI. If accuracy drops, the release stops. Before users get access, our engineers try to break the agent. They run prompt injection and data leak tests.
Governance, AgentOps, and Handover
They own the release and the guardrails. They watch the first weeks of live traffic. Our DataOps and MLOps team supplies the AgentOps tooling. Then you choose. Your team takes over, or we keep it running. We also log every field workaround. Product teams like that list. It shows which fixes should become features.
Schedule Interviews With Forward Deployed Engineers and Onboard Them Within 48 to 72 Hours
Forward Deployed Engineering Technology Expertise
Models up top. Data platforms underneath. Our engineers cover the whole stack. Our data engineering and analytics team backs them on the data side.
AI and Agent Stack
Data and Retrieval
Enterprise Systems and APIs
Testing and Operations
Our Customer Success Stories
Invoice and GRN Reconciliation for an Enterprise Finance Team
Technical Stack: AWS Bedrock | LLM extraction | legacy ERP
Industry: Finance
Every payment needed three documents to agree. Invoice, PO, goods receipt note. Finance checked them by hand, and the files never looked the same twice. Swapping the ERP was off the table. So our FDEs built on top of it, next to the finance ops and ERP teams. LLMs on AWS Bedrock read each file and run the match. The system catches a wrong price or supplier before money moves. Staff handle the exceptions. That's it. Manual reconciliation dropped 80 percent. Payments clear 2X faster.
Clinical Document AI, From Pilot to Production
Technical Stack: OCR | LLMs | FHIR and HL7 | EHR
Industry: Healthcare
Faxed referrals. Scanned prior auth forms. Staff typed it all into the EHR. A GenAI pilot had already died in security review. Our FDEs set up inside the network's own cloud, with clinical ops, security, and compliance in the room from the start. OCR and LLMs extract the data, and a payer rules engine checks it. It lands in the EHR over FHIR and HL7. A person approves every output. The system logs every step. They tested on de-identified records, then went live site by site. Pilot to production, finally.
How to Hire Forward Deployed Engineers With Enterprise Speed and Control
Hiring an FDE in house can take months. The good ones are rarely looking. We move in days, and you sign off on every step.
1. Share Your Requirements
Book a call and talk us through the problem. Which number has to move? What's blocking it? When's go-live? We scope most roles in that first conversation.
2. Get Curated Profiles (Within 24 to 48 Hours)
You see two or three engineers who have deployed in setups like yours. Each one has passed a production coding test and a live client scenario. Every profile lists the systems they integrated and what they owned.
3. Evaluate and Interview
Interview them your way. A technical round, a session with a stakeholder, or both. We'll sit in if you want us there. Not the right fit? A new profile shows up fast.
4. Onboard and Kickoff (Within 48 to 72 Hours)
We don't do paperwork one form at a time. Contracts, access, and security reviews move together. Your engineer is in standups on day one, reading the architecture. By Friday, you've agreed on the number they own.
5. Continuous Support and Scaling
Need an eval specialist for one sprint? A second pod for a new use case? Both are easy to add. Once the system is live, your team can own it. Or we keep running AgentOps.
Our Hiring Models
Dedicated Forward Deployed Engineers
One senior engineer stays with one use case, from discovery through hypercare. Pick this when one business measure needs one accountable owner. Once the build ships, we hand it over. Your team runs it from day one of production.
Team Augmentation
You keep control. Your leads run the roadmap, the sprint board, and code review. Our forward deployed engineers fill the gaps, usually AI integration, evals, and governance.
Project-Based Engagement
The scope stays fixed. So does the end date. A lot of teams start small, with a proof-of-value pilot. One agent, one workflow, one measured result. Pricing can follow that result instead of hours. Want us to run the whole program? See FDE as a Service.
Industries Where Our Forward Deployed Engineers Deliver in Production
Our engineers have taken AI to production in retail, healthcare, and finance. Manufacturing and fintech too. They build domain rules into the system itself. HIPAA shapes a clinical document workflow. An audit trail shapes a lending decision.
Chief Executive Officer
Chief Executive Officer
Looking to Hire Forward Deployed Engineers to Move a Number Your Business Already Tracks?
Book a Free ConsultationFrequently Asked Questions
What is a forward deployed engineer?
A forward deployed engineer (FDE) is a senior software engineer who works inside your environment. The job is to get a system running in production. They scope. They integrate. They deploy and support it live. A consultant writes a report. An FDE writes code, and the business number is how we judge them.
How is an FDE different from a software or solutions engineer?
Look at when each one shows up. A solutions engineer comes before the deal. Demos, proofs, sales support. A software engineer builds the core product off a roadmap. The FDE comes after the deal. Live systems, real data, messy integrations. Evals and guardrails too.
Is an FDE the same as staff augmentation?
No. Staff augmentation rents you hours, and your backlog decides where they go. An FDE owns one business measure. They choose the work that moves it. Fees can even follow the result.
How much does it cost to hire forward deployed engineers?
Three things drive cost. Seniority. Hiring model. Length of stay. A dedicated FDE runs on a monthly fee. A scoped pilot carries a fixed price or an outcome-linked fee. Hiring in house? Add months of search time before the salary even starts.
How do you protect our data and IP?
Security reviews are routine for us. Engineers sign your NDA. Their access covers only the systems the work touches. You keep every line of code, every model, every doc. Data can't leave your network? Then neither do we. We'll work in your VPC, private cloud, or on-prem.
