That six-month search just cost you two product releases and $80K in recruiter fees.
Traditional hiring worked when AI talent was abundant. Today’s leaders access vetted AI engineers who already understand transformers, embeddings, and production ML pipelines, not candidates who memorized interview questions.
At Pendoah, we maintain a pre-vetted network of AI engineers who cleared technical assessments, built production systems, and understand the difference between a demo and a deployment. You get engineers ready to contribute in week one, not month six.
Share your tech stack, project scope, and timeline. Our team analyzes your requirements and matches you with AI engineers who have the exact skills you need.
Engineers with proven ML experience, portfolio reviews, and technical assessments already completed. No resume screening required.
Detailed view of each engineer's tech stack, past projects, model types deployed, and specific AI frameworks mastered.
See exactly what you'll pay versus traditional hiring. Includes recruiter fees saved, time-to-productivity, and total cost breakdown.
Choose contract, contract-to-hire, or upgrade to a full product pod. Two-week trial period on all placements.
01
Share your AI project scope, required skills, tech stack, and timeline. A quick 5-minute form gets us started.
02
Our team reviews your needs and selects 2-3 AI engineers from our vetted network who match your technical requirements.
03
Get detailed profiles, portfolio samples, and GitHub repos. Interview only qualified candidates who passed our technical screening.
04
Engineer onboards to your codebase, tools, and team. Two-week trial period ensures the fit is right before longterm commitment.
Deploy engineers who build, train, and optimize ML models in production environments.
Hire specialists in transformer models, embeddings, RAG systems, and LLM fine-tuning.
Access engineers with experience in image classification, object detection, and video analysis pipelines.
Work with experts who built real LLM applications, not just API integrations.
Engineers who understand CI/CD for ML, model monitoring, and production infrastructure.
We connect you with AI engineers who already cleared the technical bar. No lottery tickets. No resume spam. Just qualified talent.
Every engineer passed ML assessments, code reviews, and portfolio evaluations. You interview candidates who can actually build what they claim.
Traditional hiring takes 4-6 months. Our engineers start contributing in week one because they’re already vetted, onboarded, and ready.
Save 20-25% of first-year salary. That’s $40K-$55K back in your budget for every senior engineer you hire through us.
Every placement includes a two-week trial. If the engineer doesn’t fit technically or culturally, we find you a replacement at no cost.
Start with contract work, convert to full-time, or upgrade to a full product pod. Scale your team without the hiring commitment.
Ship features faster without the hiring marathon. Scale product velocity without scaling
headcount.
Deploy compliant product teams with security and regulatory expertise built in.
HIPAA-ready pods that understand healthcare data requirements and clinical workflows.
Deploy pods that integrate with complex systems and understand enterprise requirements.
Get the AI Staff Augmentation Trends Report with what mid-sized teams are changing, and why it matters for 2026.
Still unsure if hiring through Pendoah is worth it? These numbers help most teams decide.
Average Time to Engineer Start Date
Recruiter Fees Saved Per Senior Hire
Trial Period Success Rate
Typical Ramp-Up Time vs. 3-4 Months
Real engineers from our network. Pre-vetted, portfolio-reviewed, and ready to start.
Can’t see what you are looking for? Our specialists are ready to answer your burning questions.
We match you with 2-3 pre-vetted candidates within 48 hours. After interviews, engineers can start within 14 days. Total timeline: 2-3 weeks vs. 4- 6 months traditional hiring.
Correct. Traditional recruiting agencies charge 20-25% of first-year salary ($40K-$55K for senior AI engineers). We charge a flat monthly rate with no placement fees.
Every placement includes a two-week trial period. If technical skills or culture fit aren’t right, we replace the engineer at no additional cost.
Our network includes engineers with production experience in PyTorch, TensorFlow, Hugging Face, LangChain, scikit-learn, MLflow, and cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI).
Yes. Many clients start with contract engagements and convert to full-time after 3-6 months. We facilitate the transition at no additional cost.
Skip the resume flood, recruiter fees, and six-month search. Get matched with pre-vetted AI engineers who can start contributing in 14 days.
Takes under 5 minutes to submit.
No recruiter fees. No long-term commitment. Two-week trial period on every placement.
Download our company profile and see where we fit.
How TechVenture built a production-ready AI platform in 6 months.
We design solutions that balance vision with execution, systems built to deliver outcomes today and endure tomorrow.
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