Hire pre-vetted engineers—faster and with confidence
We handle sourcing, technical screening, and engineer-led interviews. You get shortlisted candidates with detailed reports—saving weeks of hiring time.
What we do
We source, screen, and technically evaluate engineers across complex domains—full-stack development, cloud infrastructure, embedded systems, digital signal processing, and machine learning. Our team of experienced engineers conducts deep technical interviews covering architecture, code quality, problem-solving, and communication. You receive a shortlist of pre-vetted candidates with comprehensive assessments, so you can hire faster without compromising on quality.
Roles & domains we hire for
Deep technical expertise across critical engineering disciplines
Full-Stack Web Development
Frontend (React, Vue, Angular), backend (Node.js, Python, Java), databases, REST/GraphQL APIs, modern tooling.
Example roles: Full-Stack Engineer, Frontend Developer, Backend Engineer
Cloud & DevOps (AWS + GCP)
Infrastructure as code, CI/CD pipelines, containerization (Docker, Kubernetes), serverless, monitoring, security.
Example roles: Cloud Engineer, DevOps Engineer, Platform Engineer, SRE
Embedded Systems & RTOS
Embedded Software development(C and C++), software development for RTOS(QNX, FreeRTOS, RTEMS), hardware interfaces, low-level optimization.
Example roles: Embedded Software Engineer
Digital Signal Processing
Radio signal processing, audio processing, noise filtering and cancellation, digital filters design, real-time processing algorithms.
Example roles: DSP Engineer and Audio Engineer
Machine Learning & Neural Networks
Deep learning, computer vision, ML pipelines automation, natural language processing, neural network architectures, optimization.
Example roles: ML Engineer, AI Engineer, Research Engineer, MLOps Engineer
Machine Learning Inference
Inference profiling(TensorRT, ONNX Runtime, Nvidia Nsight Systems, Nvidia Nsight Compute), inference optimization techniques, model quantization, deployment strategies for real-time prediction APIs.
Example roles: ML Inference Engineer, AI Optimization Engineer, MLOps Engineer
Our vetting process
Engineer-led evaluation focused on real-world competence
Legal entities in multiple geographic locations
We operate legal entities in Finland, Russia, and India, enabling compliant hiring and payroll in multiple jurisdictions. This gives you flexibility to hire talent wherever they are.
Requirement deep dive
We align with you on technical stack, seniority level, team dynamics, and must-have vs. nice-to-have skills. Already have a pile of CVs? Share them with us—we'll screen and shortlist so you don't have to.
Active sourcing & screening (optional)
If you don't have candidates yet, we search LinkedIn, GitHub, niche communities, and our network. If you already have CVs, we work with those. Every resume is manually reviewed for relevance, technical depth, and career trajectory.
Technical evaluation
You choose the interview format—short screening, live coding, system design, architecture discussions, real-world tradeoff scenarios, or a combination. Our senior engineers conduct in-depth interviews on your behalf, assessing code quality, debugging skills, and communication based on what matters most to you.
Detailed candidate report
You receive a structured scorecard with technical strengths, areas of concern, code samples, and our hiring recommendation—plus interview recordings for transparency.
Shortlist & decision
We present 2–5 top candidates. You can hire directly based on our assessment or conduct a final cultural-fit interview. Either way, you save weeks of screening time.
What you receive
Complete transparency, detailed insights
- Candidate scorecard: Technical skills rated across relevant areas (e.g., system design, coding, debugging)
- Interview notes: Key discussion points, code review, architectural thinking, problem-solving approach
- Strengths & risks: Clear highlights of what the candidate excels at and where they may need support
- Hiring recommendation: Our direct opinion: strong hire, conditional hire, or pass—with reasoning
- Availability & expectations: Notice period, salary expectations, visa status, location preferences
- Interview recordings: Full video/audio for your review (with candidate consent)
Why Vetache
Engineer-led interviews
Our interviewers are practicing engineers, not recruiters. They speak your language and assess what matters.
Domain expertise
Deep knowledge in full-stack, cloud, embedded, DSP, and ML. We understand the nuances of each discipline.
Full transparency
Detailed reports, interview recordings, and honest assessments. You see exactly what we see.
Start hiring pre-vetted engineers today
Book a 30-minute call to discuss your hiring needs. No commitment required.
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