Staff Augmentation
Scale your AI team.
Pre-vetted AI/ML engineers starting at $2,500/month. Zero recruitment fees. 24-hour onboarding. Scale up or down as your project demands.
$2.5K starting monthly rate

What you get
ML & Deep Learning
Engineers experienced in PyTorch, TensorFlow, scikit-learn, and production ML pipelines. From model training to deployment.
LLMs & Generative AI
Specialists in RAG, fine-tuning, prompt engineering, LangChain, and production LLM systems.
Computer Vision
YOLOv8, Detectron2, SAM, and custom vision models for detection, classification, and segmentation.
Full-Stack AI Products
Engineers who build the full product (Next.js, React Native, FastAPI) with AI woven into every layer.
Voice AI & NLP
Conversational AI, document processing, sentiment analysis, and voice agent development.
MLOps & Infrastructure
CI/CD for ML, model versioning, monitoring, and cloud infrastructure on AWS, GCP, and Azure.
Built with
Who this is for
Staff augmentation is the right model for teams that know what they need to build but lack the headcount to build it on schedule.
Series A & B Startups
Moving fast without the six-month recruiting cycle for senior AI engineers.
Established Eng Teams
Tackling a specific AI initiative that sits outside their current in-house expertise.
Agencies
Staffing client projects quickly with pre-vetted specialists.
How we deliver
- Phase_01
Share Requirements
Tell us the role, tech stack, and team dynamics. We match from our bench of pre-vetted engineers.
- Phase_02
Meet Your Engineer
Interview the candidate. Review their portfolio. Make sure it is the right fit before committing.
- Phase_03
Onboard in 24 Hours
Your engineer joins your repo, Slack, and standups within a day. No weeks of ramp-up.
- Phase_04
Scale Up or Down
Add or remove engineers as your project evolves. Monthly billing, no long-term lock-in.
Questions we hear
Most engineers are active in your repo, Slack, and standups within 24 hours of contract signing. The first week typically covers codebase orientation and one or two scoped tickets. By week two, engineers are carrying full sprint load. We handle all the pre-vetting before you even meet a candidate.
Three months is our standard minimum. It gives the engineer enough runway to ramp up and deliver meaningful output. For shorter bursts -- a specific feature build or a production incident -- we're flexible on structure, but we'll scope it differently than an ongoing embedded engagement.
Our engineers work across UTC-5 to UTC+6 (US Eastern through Pakistan Standard Time). Most client teams are in North America or Europe, and we ensure at least a 4-hour overlap window with your team's core hours. Timezone fit is part of our matching criteria.
With outsourcing, you hand off a spec and review deliverables. With embedded augmentation, your engineer joins your team, your tools, and your culture -- they're in your GitHub, your Jira, your design reviews. The engineer is accountable to your team lead, not to us.
If the fit isn't right in the first two weeks, we replace the engineer at no additional cost. Beyond two weeks, we arrange a transition based on specific feedback. We've kept our replacement rate below 5% because the pre-vetting process is thorough.
Work in Staff Augmentation

Valfile Recruitment
Embedded ML engineers to build intelligent resume screening and job matching for an HR tech startup.

Souq Aalam
Full-stack team augmentation for a localized e-commerce marketplace with personalized recommendations.

VentureCell
Engineering team extension for a life sciences SaaS platform connecting scientists and investors.
Related Services

Full-Stack Development
Web and mobile products with AI built in from the first commit. From rapid MVP to production system.
- Web Applications
- Mobile Applications
- Backend & API Development
- AI-Integrated Products

Generative AI
RAG pipelines, autonomous agents, and voice AI that ship to production and improve over time.
- RAG Systems
- Autonomous AI Agents
- Voice AI Agents
- LLM-Powered Products
Next step
Let's scale your team.
Tell us the role, the stack, and the timeline. We will match you with a pre-vetted engineer.