The engineer who turns your AI pilot into a production win
Most enterprise AI pilots demo beautifully and then quietly stall inside the customer's environment. The blocker is rarely the technology — it's the missing engineer who sits with the customer, diagnoses the real constraints, and builds the last mile.
RNS Talent Partners finds that engineer: Forward-Deployed Engineers and Applied AI / AI Deployment Engineers — the operators who turn a signed pilot into a working deployment, a reference customer, and a renewal.
Built for teams shipping AI to real customers
From kickoff to active outreach
Calibration complete, target list mapped, and direct conversations underway within two business days.
Direct-sourced
Every candidate you meet comes from targeted outreach into a mapped talent pool — never a job-board inbox or an AI-blasted list.
Backed in writing
If a hire doesn't work out within 90 days, RNS will run the replacement search at no additional fee.
Full conditions are set out in the signed agreement.
How we're different
A focused search partner for the pilot-to-production gap
A signed pilot isn't a win — a customer running in production is. The engineers who live inside that gap are a specific profile: comfortable in a customer's environment, fluent in their constraints, and willing to own the last mile end to end. That's the only profile we search for.
Two roles. That's it.
We only recruit Forward-Deployed Engineers and Applied AI / AI Deployment Engineers. These are the customer-embedded, pilot-to-production seats — and the bar is different from every other AI engineering hire.
Calibrated to the first 90 days
Every search starts with the specific work this hire owns in their first 90 days: the pilot customer, the deployment surface, the production decisions they'll make alone. That's the bar we screen against, not a job description.
No handoffs. Ever.
The founder runs your search end to end — same person on the calibration call, the shortlist review, the offer conversation. No coordinators, no handoffs, no 'let me loop in my colleague.'
A deliberately small book
We take on a limited number of searches at a time so we can genuinely learn your product, your pilot motion, and your production bar. We turn down mandates that don't fit — pre-sales SE/SA, contingent volume plays, roles outside our two seats.
A note from the founder
RNS Talent Partners was built around a gap I kept watching happen
I've spent the last few years working with CIOs, CTOs, and platform leaders as they evaluated AI vendors.
The pattern was consistent: the vendors that expanded beyond the POC had a strong technical operator embedded in the customer's environment from week one, diagnosing blockers and building the last mile. The ones that didn't had a signed pilot that never converted to real revenue.
We exist to make sure the right engineer is in that seat.
Roles we fill
The two seats that get AI from pilot to production
These are the operators who own the technical relationship between a signed pilot and a working deployment. Their work directly determines whether the pilot turns into a long-term customer and a reference you can point to.
Forward-Deployed Engineer
Embeds inside your customer's environment, learns their stack and constraints, and ships the workflow-specific software that turns a promising pilot into a reference customer.
- Customer-embedded discovery and last-mile build
- Production code inside the customer's stack
- The pilot-to-production handoff that wins the deal
Applied AI / AI Deployment Engineer
Diagnoses why the model that worked in the demo behaves differently in the customer's environment, then owns the last mile: integration, evals, guardrails, latency, cost, and the retraining loop.
- Model integration into the customer's data and systems
- Evals, guardrails, latency, and cost tuning
- The retraining loop that keeps the deployment healthy
How we work
A search process built around your time
Four steps, one point of contact, and a bias toward telling you the truth early.
- 01
Calibration
- Working session with your hiring manager
- Map the pilot customer and production environment
- Written scorecard we both agree to
- 02
Mapped outreach
- Target list of engineers who've shipped pilots into production
- Direct outreach to passive candidates
- No job-board reliance
- 03
Evidence-based screen
- Structured conversation on real pilot-to-production deployments
- Scenario work modeled on your actual problems
- Testing how they think, not just what they've done
- 04
Shortlist with context
- Tight slate of three to five candidates
- Written notes on fit and tradeoffs
- A small number of well-qualified people, not a résumé pile
Start a conversation
Tell us about the seat you're hiring for
Share a little context and we'll reach out within 24 hours to schedule a free 20-minute call. No pitch — just a real conversation about the role, whether we're the right partner, and what a search would look like.
- Free 20-minute consultation call
- All inquiries are confidential
FAQ
Common questions
AI-native product companies, AI infrastructure teams, and vertical AI startups — typically from seed through Series C — that have real pilots or customers in production, and are hiring the engineers who bridge the gap between pilot success and production deployment. If you're trying to get AI from demo to live customer environment, you're exactly who we're built for.
No. We stay focused on the pilot-to-production seat: Forward-Deployed Engineers and Applied AI / AI Deployment Engineers. Those roles sit after the demo and before stable production — different candidate pool, different bar, different buyer — and we'd rather do two things well than five things adequately.
You work directly with the founder from calibration through offer. No coordinators, no rotating account managers, no résumé volume masquerading as effort. We take on a small number of searches at a time so we can genuinely learn your product, your pilot motion, and your production bar.
48 hours from kickoff to active outreach. Most searches produce a first shortlist inside 2–3 weeks and reach offer inside 4–8 weeks. Actual pace depends on the specificity of the role, comp band, and location constraints — we'll give you an honest read after the calibration call.
Retained or contingent depending on the search and stage. Fees are percentage-based and reviewed with you before any work begins — no surprises, no hidden line items.
Yes. Every inquiry, hiring manager conversation, and candidate discussion is treated as confidential by default. We never share that a company is searching without explicit permission, and candidates always control when and how they're represented.
If a placed hire leaves or is let go for performance within 90 days, we run the replacement search at no additional fee. Full conditions are set out in the signed agreement.