AI Recruiting in Austin

The gap between a strong resume and a strong engineer is where most hiring processes fail. We built ours specifically to close it, with a network across the US and Latin America and a vetting depth Austin teams can rely on.

Actively placing AI professionals across the US and Latin America
5 days

to first vetted profile

Top 3%

engineer acceptance rate

50K+

pre-vetted engineers

90 days

replacement guarantee

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No fees to start a search EOR & compliance fully covered US + 18 Latin American countries
AI Recruiting in Austin
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AI Engineers in Austin

Austin's tech scene has grown fast, and AI hiring has grown faster. The city has no shortage of companies chasing the same senior profiles. At the top of the market, ML engineers and LLM specialists with production experience are rarely available and rarely looking.

We source across the US and Latin America, so Austin teams get access to a deeper bench than the local market alone can provide. Engineers vetted to the same standard, in compatible timezones, embedded directly in your workflow from day one.

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Working with an existing Austin team or building from scratch? We work with both.

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Every AI Discipline. One Partner.

Every major AI discipline, sourced through one partner and one vetting standard.

Most Requested
Machine Learning Engineers

End-to-end ML pipeline design, model training, deployment, and retraining cycles. Hands-on MLOps experience.

Hire ML Engineers →
Most Requested
AI / LLM Engineers

LLM integration, RAG systems, prompt engineering, fine-tuning, and production AI application development.

Hire AI Engineers →
MLOps Engineers

Model serving infrastructure, CI/CD for ML, monitoring, drift detection, and retraining pipelines at scale.

Hire MLOps Engineers →
Data Scientists

Statistical modeling, experimentation, feature engineering, and translating business problems into quantifiable solutions.

Hire Data Scientists →
AI Architects

System-level AI design, model selection, infrastructure strategy, and technical leadership for AI-first products.

Hire AI Architects →
Computer Vision Engineers

Image and video processing, object detection, segmentation, and real-time visual inference systems.

Hire CV Engineers →
NLP Engineers

Text classification, information extraction, semantic search, and language model customization for production use.

Hire NLP Engineers →
Data Engineers

Data pipelines, warehousing, streaming infrastructure, and the foundation that makes AI systems trainable and reliable.

Hire Data Engineers →
AI Product Managers

Product leaders who understand model capabilities and constraints, bridging research, engineering, and business outcomes.

Hire AI PMs →

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Need a combination of roles? We can build a full AI team through one partner and one process.

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What We're Testing For

Every candidate is assessed on what they can do in a real environment, not what they list on a resume. Candidates who clear all four areas are the ones you interview.

Technical Depth

Role-specific assessment of production experience, not framework familiarity. ML pipeline design, model serving, LLM integration, or data infrastructure depending on the role.

AI-Readiness

Fluency with the current AI tooling landscape: LLMs, vector databases, agent frameworks, fine-tuning, RAG. Assessed on how they use AI to build, not what they list.

English Fluency

Clear technical communication in async and synchronous environments. Ability to work directly with US-based product, research, and engineering teams without friction.

Production Instinct

The ability to make the right architectural choice for the constraint, not just the most sophisticated one. Strong candidates can defend decisions under real conditions.

The vetting is what makes the guarantee possible. We replace any placement that does not work out within 90 days at no cost.

From Brief to First AI Engineer in 5 Days

Most companies spend weeks sorting applications before talking to a single qualified candidate. We skip straight to the part where you are interviewing engineers who can actually do the job.

Day 101Send the Brief

Share the role scope, the AI stack, team structure, and what you need this engineer to own. The more specific you are about the AI and ML work involved, the better the match.

Days 2 to 402We Run the Assessments

Technical depth, AI-readiness, English fluency, and production instinct assessed against your specific role requirements. Every profile evaluated by our team before it reaches you.

Day 503You Interview and Decide

Receive 3 to 5 vetted profiles with current rates and assessment summaries. Your process, your decision. We handle contracts, compliance, and onboarding once you have made the call.

Ready to hire? Start a search today.

No fees to start. 3 to 5 vetted AI profiles delivered in 5 business days.

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Common Questions About Hiring AI Engineers in Austin

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One network. Every AI discipline. One relationship to manage as the team grows.

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What kinds of AI engineers can you place in Austin?
We place across every major AI discipline: ML Engineers, LLM and AI Engineers, MLOps Engineers, Data Scientists, AI Architects, Computer Vision Engineers, NLP Engineers, Data Engineers, and AI-focused Product Managers. One partner, one process, one vetting standard.
How do you make sure the candidate can actually do the job?
We assess production judgment, not framework familiarity. Technical depth, hands-on experience with modern AI tooling, English fluency, and the instinct to make the right architectural decision under real constraints. The vetting surfaces who has shipped, not who has studied.
How quickly can I see candidates?
We deliver 3 to 5 vetted profiles within 5 business days of receiving the brief. The process is built to move fast without skipping the vetting depth that makes placements last.
Who handles compliance and payroll if I hire someone outside Austin?
We act as the employer of record for every placement. You carry zero compliance risk. We manage contracts, local labor requirements, payroll, PTO, and benefits across the US and 18+ Latin American countries. You are billed only for hours worked.
What does it actually cost?
No fees to start a search or conduct interviews. Pricing is all-inclusive: recruiting, vetting, EOR, HR, and payroll. Teams hiring nearshore engineers in Latin America typically save 50 to 60% vs. a US full-time hire at equivalent seniority. We share current benchmarks on the first call.
What if the hire turns out to be the wrong fit?
We offer a 90-day replacement guarantee at no additional cost. If a placement does not meet expectations within the first 90 days, we source and vet a replacement through the same process. The accountability does not stop at the start date.
Can you build a full AI team, not just place one engineer?
Yes. Our network spans the US and 18+ Latin American countries across every major AI discipline. Whether you are adding one specialist or building a distributed AI team from scratch, we source through one partner and one vetting standard.

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