Agentic AI roles only
Recruiting, rebuilt for the agentic era.
Every other recruiting agency in this space runs on spreadsheets and LinkedIn. We run on agents we built ourselves. The site you're on is the demo — when you talk to our intake agent, you're seeing the kind of system you should be hiring engineers to build.
What we do differently
Three things every agentic AI hiring process should have. Most don't.
We built our process around them, then built agents to enforce them.
01
Calibrated to production agents, not demos.
Our screen probes the unglamorous things — eval discipline, latency tuning, the failure mode they shipped a fix for last quarter. Demos prove nothing; production scars prove everything.
02
Honest fit, both directions.
If a role is wrong for a candidate, we say so on the first call. If a hiring manager is asking for a unicorn that doesn't exist at their comp band, we say that too. The market is too small to waste anyone's time.
03
Agents draft. Humans send.
Our agents triage, summarize, and propose outreach. A human reviews and presses send. No autopilot to candidate or client inboxes — that's a deliberate trust choice, not a roadmap gap.
The niche
Nine roles. Zero adjacencies.
We don't recruit data scientists, ML researchers, or general-purpose engineers. Just the people building agent systems in production.
Agentic AI Engineer
Builds production agents end-to-end — tool use, memory, evals, and the unglamorous reliability work in between.
$180K – $260K base (US, senior)
AI Agent Architect
Designs the system shape — which agents exist, what they own, how they hand off, and where the human stays in the loop.
$220K – $320K base (US, staff/principal)
Agent Orchestration Engineer
Owns the runtime — how multi-step agent runs stay reliable, observable, and cheap under real traffic.
$190K – $280K base (US, senior/staff)
Agentic AI Process Engineer
Bridges ops and engineering — finds repeatable workflows in the business and replaces them with agents that actually ship value.
$160K – $230K base (US, senior)
AI-First Software Engineer
A generalist software engineer who treats LLMs as a first-class building block — not a sprinkle on top of a normal app.
$170K – $240K base (US, senior)
Agentic Native Software Engineer
Builds applications where the agent is the product, not a feature — the kind of software that doesn't make sense in a pre-agent world.
$150K – $220K base (US, mid–senior)
AI Systems Engineer
Lives at the seam between agents and the systems they depend on — caching, routing, prompt infrastructure, model gateways.
$200K – $290K base (US, senior/staff)
AI Data Engineer
Owns the data pipelines that feed agents — embeddings, retrieval indexes, eval datasets, traces, and the feedback loop back into prompts.
$170K – $250K base (US, senior)
AI Integrations Engineer
Connects agents to the rest of the world — APIs, MCP servers, SaaS tools, internal systems, and the auth between them.
$170K – $240K base (US, senior)
Founders
A husband-and-wife team. One niche. No layers between you and us.
Nick spent the last decade as a senior software engineer. Elissa spent hers running operations at high-growth teams. We built AgenTech because the agency model needed someone who understood both sides of an engineering hire.
Nick Savov
Co-founder
Elissa Savov
Co-founder
When you talk to AgenTech, you're talking to one of us. We don't have account managers or BDRs. The same person who scopes the role sends the shortlist, makes the intro, and closes the loop after the offer.
Get started
Tell us what you're building, or what you'd like to build it with.
Two intake paths. Both fast. Both honest about whether we're the right fit before you spend a minute more.