Hashlogics
Hire

Hire forward deployed engineers who ship inside your operations

A senior engineer embedded in your team, building on your systems and your data, staying until it runs. The working method the AI labs use for their largest accounts, applied to your company.

What you are getting

4 things that decide this

  1. 01Senior engineers only, each of whom has shipped a production system that people rely on. There's no bench of juniors behind them and no rotation off your project.
  2. 02They embed. Your repository, your standups, your review process, with at least four hours of overlap with your working day agreed before anyone starts.
  3. 03They ship into live operations, not into a demo. Code, prompts, pipelines and integrations are yours from the first commit, in your accounts.
  4. 04The engagement ends on purpose: a trained owner on your side with runbooks, or a service level with us answering when it breaks. You interview every engineer first, and if the fit is wrong we replace them.
The role here

What a forward deployed engineer does on your team

The role comes from Palantir, where the mandate is 'to achieve technical outcomes for our customers.' It spread to OpenAI, Anthropic and AWS once a working model stopped being the hard part of an AI project. Those labs assign their engineers to their largest accounts. Ours are assigned to you.

In practice the first week goes on your data and your workflow, not on a product. For Sutherland Excavating, that meant AI and IoT site management built into how real petroleum sites are run and checked. ZhoopZhoop needed an AI receptionist and parts ordering that worked across auto-repair branches with their own habits. WAIQ needed an operations and execution platform for a multi-site business, where the hard part was agreeing what 'done' meant at each site.

None of those started from a generic product with a manual. Each was built on the client's own process, in the client's own systems, by an engineer who sat in the standup the next morning to hear what broke.

In numbers

What you can check

22

production systems in our published case studies

hashlogics.com/case-studies

4.8

Clutch rating across 22 client reviews

Clutch, verified 2026-08-25

4h+

minimum overlap with your working day, agreed before start

Engagement terms, staff augmentation

2017

founded; engineering in Lahore, HQ in East Islip, NY

Company record

Off your roadmap

What they take off your plate

Integration into the systems you already run

Your ERP, CRM, field-service tool, practice-management system or whatever you run. The engineer reads its data model and writes to it properly, with the permission rules your admins expect.

Data that's messier than the demo

Duplicate records, half-migrated fields, three spellings of the same customer. The build starts from what's actually there, and the cleanup is part of the work rather than a surprise.

The workflow nobody wrote down

Every operation has steps that live in someone's head. The engineer sits with that person, maps the real process, and builds for it, including the exceptions.

The handover

Runbooks, training for your team, and a monitoring setup that tells you before your customers do. Or a service level, if you'd rather we keep answering.

How an engineer joinsLive
  1. Scoping callFree. What's stuck, what has to change.
  2. ShortlistEngineers who've shipped this shape before.
  3. You interviewYou can decline anyone.
  4. EmbedYour repo, your standups, your review.
  5. ShipInto live operations, in increments.
  6. Hand overTrained owner, or a service level.

A paid two-week diagnostic sits between the call and the shortlist only when we have to go into an existing codebase to give you an honest answer.

A client, on the record

They will treat your vision like their own and build it that way.

Ron Klabunde · Founder, SmartREI

How hiring works

From the first call to a running system

  1. 01

    Tell us what's stuck

    A free scoping call about the process the software has to change and the systems it has to touch. Where we need to go into an existing codebase to answer honestly, a paid two-week diagnostic follows, and it ends in a fixed price.

  2. 02

    Meet the engineer

    You interview the engineer we propose, against your own questions. If they aren't right, you say so and we propose another.

  3. 03

    They embed

    Your repository, your standups, your review process, from the first week. Your engineers approve every pull request; there's no delivery manager in between.

  4. 04

    They hand over, or stay

    Runbooks and training so your team owns it, or an agreed service level where we keep answering. Either way the code, prompts and pipelines are in your accounts.

What they work with

Stack

Systems they integrate with

  • Salesforce
  • HubSpot
  • NetSuite
  • QuickBooks
  • ServiceTitan
  • Epic
  • Postgres and SQL Server
  • your own ERP
  • or whatever you run

AI and data

  • Claude
  • GPT
  • LangGraph
  • Postgres + pgvector
  • n8n
  • FastAPI
  • AWS
  • Supabase
  • etc.

Practices

  • scored eval sets the client owns
  • guardrails on tool use
  • designed human handoffs
  • audit trails
  • runbooks written as we go
Next step

Tell us what has to run on your systems

A free scoping call with a senior engineer, not a salesperson. You'll leave knowing whether an embedded engineer is the right shape for it.

Questions, answered
01How is this different from the forward deployed engineer a vendor sends?+

Ours has no product to sell you. A vendor's FDE is there to deploy the vendor's platform; an embedded engineer from us builds whatever makes your process run, which sometimes means integrating tools you already own and sometimes means telling you not to buy the thing you called about. The working method is the same: in your systems, on your data, until it runs.

02Can we change the engineer once they've seen our systems?+

Yes. You interview every engineer before they start, and if the fit turns out wrong after they've embedded, we replace them and handle the knowledge transfer ourselves. The code, notes and runbook are in your repository throughout, so a change of person doesn't cost you the context.

03How much of our working day will the engineer overlap?+

At least four hours, agreed before anyone starts, and most clients extend that so standups and code review happen live rather than as a handoff across time zones. Our engineering team is in Lahore, which gives a full morning of overlap with the US East Coast and most of the working day with Europe.

04Who owns the code, prompts and integrations they build?+

You do, completely, from the first commit. Source, prompts, eval sets, pipelines and infrastructure configuration sit in your accounts. Nothing is licensed back to us and nothing depends on us to keep running once the handover is done.

05Do we need to have bought an AI product first?+

No. The first week is spent on your data and your workflow, and the answer to 'which product, if any' comes after that. If a packaged tool is the right call, the engineer integrates it; if the gap is a small custom system or a connection between two tools you already run, they build that instead.

06What decides the cost of an embedded engineer?+

Three things: how many systems the work has to touch, how clean the data in them is, and whether someone on your side can make decisions weekly. We don't publish rates because a number quoted before seeing the problem is a guess. Scoping calls are free, and where an existing codebase is involved a paid two-week diagnostic ends in a fixed price.

Updated
Start

Let’s deploy working AI into your business.

We build AI agents and automation, ship them into the tools you already run, then stay on under an agreed service level. A senior engineer reads every brief, and your call gets scheduled within 24 hours.

What happens next

  1. 01

    You send a brief or book a call

    Two minutes, whichever you prefer.

  2. 02

    A senior engineer replies within 24 hours

    Not a sales rep.

  3. 03

    Honest scoping, in writing

    And if we’re not the right fit, we say so.

Abdul Basit, CEO of Hashlogics

“I started Hashlogics because too many teams ship a demo, get paid, and disappear. We build to a standard we’d run ourselves — and we stay to keep it running.”

Abdul Basit · CEO · a direct line

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