1 named senior forward deployed engineer, backed by fractional specialists in data, design, and QA from the same bench when the work needs them.
The embedded engineer model, at mid-market economics
A Techtiz forward deployed engineer is a named senior engineer embedded in your team, stack, and standup, owning an outcome rather than a ticket queue. It is the operating model Palantir proved and the AI labs now run at scale, delivered monthly with a 30-day exit and production code in your repository from week 1.
The role Palantir pioneered, now hired by every AI lab
A forward deployed engineer is a senior software engineer who works inside a customer’s environment, scoping, building, and deploying production systems where the work actually happens, instead of shipping requirements over a wall. The role was pioneered at Palantir and spread across AI-native companies. US job postings went from 643 in April 2025 to 5,330 in April 2026, up 729% year over year. OpenAI, Anthropic, Palantir, Stripe, and Google Cloud all hire for it.
Source: Indeed data reported by Business Insider, 2026.
You were never allowed to enter that talent war
89 days for a senior AI engineer.
Runs well past $200,000 in base salary.
Roughly 3.2 to 1, and the labs and large enterprises absorb the available bench.
Mid-market companies are not losing that talent war. They were never allowed to enter it. The pod exists because the operating model works and the US price does not. Sources: X-Team 2026 AI Talent Readiness Report. ManpowerGroup.
6 things true of every pod
Embedded in your tools, your repository, your standup, your tracker.
An outcome-owned backlog agreed monthly, not a ticket queue handed down weekly.
A working demo every week. Not a status report. A thing that runs.
4+ hours of daily overlap with your working day, contractual.
Exit any month on 30 days notice with a handover runbook.
Something in your repository, not a discovery document
Typically: environment access resolved, 1 real integration wired end to end, and a written map of the outcome we are owning with its acceptance evidence.
If week 1 ends without merged code and that map, you have a problem worth raising in week 2, and we would rather you raise it.
No substitution after signing
Leads engineering across the studio, from architecture to delivery. Owns the bar for how Techtiz builds.
View LinkedIn →You meet the engineer on the first call. Their name, their history, and the systems they have built go in the proposal.
If our bench is committed, we tell you and give you a start date. We do not substitute a different person and hope the difference goes unnoticed.
If the named engineer becomes unavailable mid-engagement, you are told immediately, you meet the replacement before the handover, and the month is prorated if you decide not to continue.
An embedded engineer without a method is just expensive hours
Ours arrive running the same production discipline described across this site: the 3-gate triage before anything gets built, assisted-session proof before durable builds, specification-first development, evaluation sets grown from every caught failure, and layer-level diagnosis instead of prompt rewriting. Your team absorbs the discipline by working inside it. That is the quiet second deliverable of every pod. When the engagement ends, the method stays.
Ownership versus billed hours
Augmentation bills hours against your backlog. A pod signs up for a defined outcome, demos weekly, and is judged on whether the thing works in production.
Augmentation is the right buy when you have a strong internal lead and a well-specified backlog. Say so and we will tell you a pod is more than you need.
The 30-day exit is the proof, not the promise
A vendor’s forward deployed engineer deploys you deeper into that vendor’s stack. That is the commercial purpose of the role at a model provider, and it is a rational thing for them to do. A Techtiz pod is model-agnostic by contract, selects models per evaluation on your cases, and re-tests as models change. The 30-day exit with your repository intact is the proof, not the promise.
Lahore is UTC+5
9 to 10 hour offset, depending on daylight saving
12 to 13 hour offset
In practice the engineer’s day overlaps your morning. Standup happens in your morning, their evening. The 4+ contractual overlap hours are your morning block, which is when decisions get made.
Written decisions in your tracker rather than verbally in a call you were not on.
A weekly demo at a fixed time in your time zone.
Async by default with a named response window.
What we do not claim: that this is identical to an engineer 3 desks away. It is not. It is better than an 89-day vacancy and better than a ticket queue with no overlap at all, and it needs your team to write things down.
The opposite of a subcontractor you cannot exit
The code is in your repository from day 1. Not delivered at the end. In it, throughout.
IP assigns on payment, contractually.
30 days notice, any month, no penalty.
Handover runbook is included in the engagement, not quoted as an extra at the end.
Credentials and access are revoked and logged at exit.
A subcontractor you cannot cleanly exit is a risk. We price ourselves as the opposite of one.
The no list
Work that must be performed onshore for contractual or regulatory reasons.
A team with no internal owner. A pod needs 1 person on your side who can make decisions.
Pure staffing of a well-specified backlog. That is augmentation and it is cheaper.
Companies under about 20 people. Start with the sprint or the automation retainer.
Your repositories, your IP, assigned on payment, from day 1.
30 days notice on anything monthly. Handover runbook included, not quoted separately.
4+ hours of daily overlap with your working day, contractual.
Work performed in Lahore by Techtiz personnel under a US-formed Wyoming LLC. Regulated data classes stay on your side and we design around that.
1 senior engineer accountable for the estimate, on the first call.
Every non-obvious statistic on this site carries a named third-party source and a date.
The questions you were going to ask
How is this different from staff augmentation?
Ownership. Augmentation bills hours against your backlog. A pod owns a defined outcome, demos weekly, and is judged on whether the thing works in production.
Who is the engineer and will they be swapped?
Named before you sign, on the first call, in the proposal. The substitution policy is published on the page.
What if the time zone does not work for us?
It works when decisions get written down and fails when they do not. If your team cannot work asynchronously at all, say so and we will tell you this is the wrong buy.
Do we keep the code and IP?
Yes, contractually, in your repositories, assigned on payment.
What happens in month 1 if it is not working?
30 days notice, prorated, handover runbook, and your code stays in your repository. You are not locked into a year to find out.
Written by Mohsin Naeem, Chief Executive Officer
View LinkedIn →Meet the engineer who would own the outcome
Their name, their history, and the systems they have built go in the proposal, on the first call.