Hire a forward deployed engineer who ships AI into the real workflow.
A forward deployed engineer is a senior software engineer who embeds with the team whose work AI has to change, learns how that workflow really runs, and builds the AI into the systems it runs on, from first version to production. Beyond Technologies places forward deployed engineers inside client teams day-rate or monthly, typically within one to two weeks of an intro call, on a four-week minimum then month-to-month with a two-week replacement guarantee.
A forward deployed engineer is a senior software engineer who works inside a client's team, next to the people whose workflow has to change, and writes the production code that changes it, rather than advising from outside. Beyond Technologies (legal name Beyond Tech Services LLC) places forward deployed engineers inside client and agency teams, typically within one to two weeks of an intro call, starting with a trial week, then on a four-week minimum and month-to-month, priced day-rate or monthly, with all IP assigned to the client.
Embed a forward deployed engineer instead of hiring one when the job is a specific AI workflow that has to reach production now, not a permanent function you are ready to staff. A full-time hire starts with a multi-month hiring cycle; an engineer from Beyond Technologies is matched from an existing bench, works in your repositories, standups and tools, and assigns all work product to you, so the system stays yours when the engagement ends. Hire in-house once the work is permanent and you know exactly who you need.
- Seniority
- 5+ years software engineering, 1+ years shipping production agent, LLM or RAG systems
- Background
- AI built into live business workflows: CRM, ERP, ticketing and internal-API integration, human-in-the-loop design, guardrails and evaluation suites
What they'll actually do.
Not a job description — the work this person owns from their first sprint, inside your codebase and your process.
Consultant, forward deployed engineer, or Rescue.
The same AI workflow, three kinds of outside help. The two right-hand columns are Beyond Technologies' published terms, nothing added.
| Term | Strategy consultant | Beyond Technologies forward deployed engineer | Beyond Technologies Rescue |
|---|---|---|---|
| What you get | A recommendation: an assessment, a roadmap or a plan. Building it is a separate decision. | A senior engineer in your team who builds the AI into the systems the workflow runs on, from first version to production. | A stalled AI pilot audited, then rebuilt with evals, guardrails and integration, and shipped to production against one agreed metric. |
| Where the work happens | In interviews, workshops and documents with your stakeholders. | Inside your repositories, standups and tools, alongside the business team that owns the workflow. | In your own systems: your CRM, ERP, ticketing or internal APIs, not a demo environment. |
| Who owns the code | Usually there is no production code to own; the deliverable is the advice. | You do, from the first commit. The IP assignment is signed before anyone gets repository access. | The pilot was already yours; the Rescue rebuilds it inside your own systems and ends with a runbook or ongoing operation. |
| Commercial shape | Set by the consulting firm's own contract. | Day-rate or monthly. Four-week minimum, then month-to-month, with a two-week replacement guarantee. No published rate card. | Fixed scope over 8–12 weeks, priced after the audit. If the agreed metric isn't hit, the build is on Beyond Technologies. |
| How it starts | Usually a discovery or scoping phase. | An intro call, one or two proposed engineers, then a trial week: a real first week of work. Typically within one to two weeks of the call. | A one-to-two-week audit of why the pilot stalled and what is salvageable. |
| Right choice when | You have not decided what to build yet and want an outside view before committing engineers. | You know the workflow and need a senior engineer building it inside your team now, without a multi-month hiring cycle. | An AI pilot failed to reach production and you want a fixed scope with a guarantee attached. |
Work this bench has shipped.
Cove — Home Security Platform Consolidation
Operator portal, headless CMS, and marketing platform for a US home-security device ecosystem — three disconnected systems consolidated into one operator experience.
Inflectiv Helios — Multi-Assistant AI Platform
A multi-user AI assistant platform: specialized assistants per knowledge domain, conversational UI with history and personalization, Google Calendar/Meet integration, and full prompt observability — built to absorb new AI capabilities.
Haystack — AI Data Intelligence Platform
A data-driven intelligence platform: one AI search layer across documents, data lakes, and repositories, with real-time indexing, AI-driven correlation, and workflow automation — built to hold up under heavy data loads.
Tell us the role, the stack, and when you need them started.
Every figure has a name behind it.
No rounded-up vanity metrics — each number below is tied to a specific, named engagement this bench shipped.
From intro call to embedded.
Matched by the engineers who ship our own AI rescues — people who have taken AI from a stalled demo into a live workflow, not a recruiter matching a job title.
Intro call
Confirm the role, stack, and team fit in one call.
Match
We propose 1–2 engineers from the bench who fit the work, not a generic pool.
Trial week
A real first week of work before any longer commitment.
Embed
Full participation in your standups, sprints, and tooling.
If the fit isn't right, we replace them inside two weeks — no argument, no fee for the swap. You'd rather we caught it early, and so would we.
The team runs like an extension of our engineering org — weekly delivery, transparent metrics, real ownership.
Read before you hire.
A forward deployed engineer works inside a client's team, next to the people whose work has to change, and writes the production code that changes it. Where the title came from, what the job is day to day, and when a company needs one.
Hire a consultant when you have not decided what to build; hire a forward deployed engineer when you know the workflow and need production code in your own systems. A row-by-row decision table and the rule that settles it.
A full-time forward deployed engineer in the US costs a median $225,000 a year in total compensation before benefits, recruiting and empty months. The sourced arithmetic for hiring one, the shape of an embedded engagement, and the rule for choosing.
Asked on every first call.
A forward deployed engineer works inside the team whose work the AI is meant to change: learning how the workflow actually runs, building the agent, LLM or RAG feature into the systems that workflow lives in, and putting evaluation suites, guardrails and human review gates around it before it acts on its own. A forward deployed engineer from Beyond Technologies does that inside your repositories, standups and tools, and carries the work into production rather than handing over a plan.
Embed a forward deployed engineer when the work is a specific AI workflow that has to ship now and you do not yet know whether it is a permanent role. Hiring in-house takes months; Beyond Technologies typically has an engineer working in your team within one to two weeks of the intro call, on a four-week minimum then month-to-month. Once the work is permanent and you know exactly who you need, hire full-time — the code, evaluation suites and documentation are already in your repositories for that person to pick up.
A consultant hands over a recommendation; a forward deployed engineer writes the production code in your systems and leaves a working system behind. A forward deployed engineer from Beyond Technologies commits to your repositories under your version control, so what remains when the engagement ends is software your team runs, not a plan someone still has to build. If the open question is what AI to build at all, Beyond Technologies' two-week AI readiness assessment is the better first step.
Commercially, Beyond Technologies engages a forward deployed engineer the same way as its other embedded engineers: day-rate or monthly, inside your team and your process. The difference is where the engineer sits and what they start from — with the business team that owns the workflow, working out what to build with the people who will use it, rather than taking tickets from a backlog someone else wrote. If what you want is a fixed scope with a guarantee attached, Beyond Technologies sells that separately as an AI integration sprint or an AI pilot rescue, where the build is on Beyond Technologies if the agreed evaluation bar or metric is not met.
Yes. Beyond Technologies places forward deployed engineers under an agency's brand on the same white label terms as the rest of its agency work: the agency's email domain and tools, no Beyond Technologies attribution on anything that reaches the client, and the agency's NDA, DPA, non-solicit and non-circumvention terms signed before anyone opens the repository. All code and IP assign to the agency on delivery, and the client relationship stays with the agency.
Beyond Technologies publishes no rate card for forward deployed engineers. The engagement is priced day-rate or monthly against the seniority and hours the work actually needs, and the figure is agreed in writing before anything starts, so you know the number before you commit.
A forward deployed engineer from Beyond Technologies typically starts within one to two weeks of the intro call, matched from an existing bench rather than a cold hiring pipeline. The first week is a trial week of real work, and the limiting factor is usually your onboarding and access paperwork rather than Beyond Technologies' recruiting.
Every Beyond Technologies forward deployed engineer placement carries a two-week replacement guarantee, with no argument and no fee for the swap. The first week is a real week of work before any longer commitment, so a poor fit shows early.
No. Beyond Technologies engages a forward deployed engineer day-rate or monthly, not as a subscription: a four-week minimum, then month-to-month. No tiers, no bundled products, no published rate card and no notice period designed to trap you.
You do, from the first commit. A forward deployed engineer placed by Beyond Technologies works in your repositories under your version control, and all work product assigns to you — integration and agent code, prompts, evaluation suites, and documentation. The IP assignment is signed before anyone is given repository access, not negotiated at handover.
One call. Then a name, not a pipeline.
- 30 minutes with a senior engineer, not a recruiter
- Free and no-obligation — bring the role and the stack
- You leave knowing who we'd match and how fast they can start
- We reply within one business day
Senior engineering capacity for Claude-native products and agents.
Senior LLM application engineering, without the vendor lock-in.
Agent and workflow-automation engineering, embedded in your team.
Full-stack web and mobile engineering, AI-accelerated, senior-owned.
Fractional technical leadership for teams that need direction, not headcount.
Fractional AI leadership — roadmap, governance, and vendor decisions.
Retrieval pipeline engineering — the discipline behind every trustworthy RAG system.
Deployment, monitoring, and cost control for production AI systems.
Pipelines, warehousing, and AI-ready data infrastructure.
Systematic prompt and context design, tested against real outcomes.
Product management for AI features and roadmaps, grounded in what's actually feasible.
An agency that has already sold the work starts with a white label software development partner. A founder whose first version now has real users starts with a startup software development company. The criteria for a top saas development company are published here, with no ranking of our own. If an AI pilot failed to reach production, finish it — don't start another demo.
Let's put AI to work in your business.
A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.