Tru.AI Talent · Powered by TruTalent Solution
How we work.
A five-phase retained search process built for precision — not volume. Every step is designed to surface the right candidate, not just an available one.
Retained only
No contingency. Full alignment with your outcome.
AI & ML exclusive
Every search is in our domain. No generalist work.
Boutique by design
Limited concurrent searches. Your role gets full attention.
Passive-first sourcing
We reach people who aren't looking. That's the point.
3–5 candidate shortlists
Curated, not voluminous. Quality over quantity.
Post-hire accountability
30/90/180-day check-ins. 94% one-year retention.
We start with context, not a job description.
Most searches fail before they begin — because the brief is shallow. We invest time upfront to understand the full picture: your engineering culture, your AI roadmap, the team dynamics, and what success actually looks like 12 months after the hire.
Engineering culture & team dynamics
We learn how your team operates — how decisions get made, how technical work is structured, and what kind of leader or engineer thrives in your environment.
AI roadmap & technical context
We go deep on your stack, your product direction, and the specific technical problems the hire will own. We need to understand the work before we can find the right person to do it.
Defining success
We align on what a great outcome looks like — not just the role requirements, but the impact, the milestones, and the qualities that separate a good hire from a transformative one.
Precision sourcing, not mass outreach.
We don't post and pray. Before a single message is sent, we build a complete map of the available talent pool — drawing on our network, proprietary research, and deep knowledge of the AI and ML landscape. The result is a targeted list of candidates who are genuinely qualified, not just available.
Network-first sourcing
Our network spans ML engineers, agentic AI architects, data science leaders, and technical executives across startups, research labs, and enterprise AI divisions. Many of our best placements come from relationships built over years.
Passive candidate access
The strongest candidates are rarely looking. We reach people who will never appear on a job board — senior engineers and leaders who are open to the right conversation, not an unsolicited recruiter blast.
Technical signal filtering
We filter for technical depth from the start. We know the difference between an LLM fine-tuning specialist and an agentic systems architect, between a research scientist and a production ML engineer. That precision shapes who we approach.
Technical rigor. Leadership depth. Cultural fit.
We don't pass candidates through — we evaluate them. Every person on our shortlist has been assessed across three dimensions: technical capability, leadership ability, and cultural alignment. You receive a curated set of 3–5 candidates, each one a genuine match.
Technical depth assessment
We assess candidates on the specific technical domains relevant to your role — ML systems design, model deployment, data architecture, agentic frameworks, or executive AI strategy. We ask the questions that matter.
Leadership & communication ability
For leadership roles, we evaluate how candidates build teams, communicate technical vision, manage ambiguity, and influence without authority. Technical skill alone is not enough.
Cultural and organizational fit
We assess alignment with your company's stage, values, and working style. A candidate who excels at a 500-person company may struggle at a 20-person startup — and vice versa. We account for that.
End-to-end involvement, not hand-off recruiting.
We stay engaged through every stage of the search — from first outreach to signed offer. Our retained model means we're accountable to the outcome, not the activity. We don't disappear after the shortlist.
Structured shortlist delivery
We present a curated shortlist of 3–5 candidates with detailed written profiles — covering technical background, leadership assessment, compensation expectations, and our recommendation. No noise, no filler.
Interview process support
We advise on interview structure, help calibrate feedback across your team, and keep candidates engaged throughout the process. Losing a great candidate to a slow process is avoidable — we help you avoid it.
Offer negotiation & close
We manage the offer process with transparency on both sides. We know what candidates need to say yes, and we help you structure an offer that closes — without overpaying or underselling the opportunity.
The search doesn't end at the offer letter.
A successful placement is one that sticks. We stay in contact after the hire — checking in at 30, 90, and 180 days to ensure the transition is going well for both sides. Our 94% one-year retention rate reflects this commitment.
30 / 90 / 180-day check-ins
We proactively follow up with both the hiring manager and the placed candidate at key milestones. Early friction is addressable — if we catch it early, we can help resolve it before it becomes a problem.
Long-term relationship
Most of our clients come back for their next search. We build long-term partnerships, not transactional engagements. Understanding your organization over time makes every subsequent search faster and more accurate.
Guarantee & replacement
We stand behind our placements. If a hire doesn't work out within the guarantee period, we re-engage at no additional retainer cost. We're accountable to the outcome.
"They didn't send us a stack of resumes. They sent us three candidates — every one of them could have started the next day. We hired two. That's not a search firm, that's a strategic partner."
12 days
Average time to shortlist
From signed agreement to curated candidates.
94%
One-year retention rate
Across all placements since 2024.
3–5
Candidates per shortlist
Curated, not voluminous. Every one a genuine match.
How TruAITalent Works
Built for Volume and Visibility
- Optimized for speed and throughput, not fit
- Resumes sourced from job boards and LinkedIn blasts
- Contingency model incentivizes placement, not quality
- Minimal technical vetting — screening is surface-level
- Candidates are often actively looking, not selectively approached
- Little accountability after the offer is accepted
- One-size brief applied across multiple clients simultaneously
Built for Precision and Outcome
- Retained model — fully aligned with your outcome, not a placement fee
- Sourced from a curated network of passive AI/ML talent
- Deep technical vetting specific to ML, agentic AI, and data science
- Exclusive focus: one search, one client team, full attention
- Candidates are selectively approached — not mass-contacted
- Ongoing support through offer, negotiation, and onboarding
- Search brief built from direct discovery, not a job description template
Ready to see this process
work for your team?
Every search starts with a conversation. Tell us about the role and the problem you're trying to solve — we'll tell you if we're the right fit.
Candidates and referrals may request inclusion in our Referral Network.