Staff Augmentation & Dedicated Teams
Staff Augmentation & Dedicated Teams
Senior AI and engineering talent, embedded in your team this week.
An AI engineer for three months. A designer for a product sprint. A data scientist to train your first model. We place vetted, senior-level specialists directly into your team, without the overhead of full-time hiring, the delay of recruitment, or the risk of the wrong hire.
Who we place
Every specialist we place has passed our internal technical vetting and delivered on real Agintex client projects. You're not getting a résumé; you're getting someone we would put on our own work, with Agintex staying accountable for their output throughout the engagement.
01 AI and ML engineers
02 LLM and generative AI specialists
03 Data engineers and pipeline architects
04 Full-stack software developers
05 UI/UX designers and product strategists
06 IoT and embedded systems engineers
07 Technical leads and solution architects
08 Flexible engagement: weekly, monthly, or project-based
09 One specialist or a full embedded squad
How we work
Every engagement follows the same disciplined process. No surprises, no scope creep.
Step 1: Requirements scoping
A detailed brief: what needs doing, which skills it takes, how your team works, and on what timeline. We don't match on job titles alone.
Step 2: Matching and vetting
We propose the right specialist from our vetted pool within 48 to 72 hours. Every candidate has been technically evaluated by our own engineers.
Step 3: Intro and alignment call
You meet the specialist, ask the hard technical questions, and decide before any commitment is made.
Step 4: Onboarding and integration
The specialist joins with full context. We handle onboarding, contracts, and setup so day one is productive.
Step 5: Ongoing oversight
Agintex stays involved: regular check-ins, fast issue resolution, and quality held to the same standard as our own delivery work.
Technologies we use
We choose the right tool for the job, not the trendiest one.
Specializations: AI/ML engineering, LLM and generative AI, data engineering, full-stack development, UI/UX design, IoT and embedded systems, technical architecture
Engagement formats: part-time, full-time, project-based, retainer
Time zones: North America primary, global coverage available
Your stack: GitHub, Jira, Linear, Slack, Notion, and whatever else you run
Contracts: flexible NDAs, IP assignment, contractor agreements
Who this is for
Fast-moving startups adding specialized skills for a specific project or sprint
Scale-ups whose engineering team is fully allocated and needs augmenting now
Enterprises with approved budgets but no internal bandwidth to execute
CTOs burned by offshore teams who want vetted specialists with clear accountability
Teams needing one rare skill (an LLM fine-tuning specialist, a Kafka engineer) that doesn't justify a full-time hire
Results you can expect
Placed in 48-72 hours: A vetted specialist proposed within two to three business days of your brief.
Zero recruitment overhead: No job posts, no screening rounds, no three-month hiring cycles.
Accountability built in: One point of contact at Agintex ensures the engagement delivers.
Scale up or down instantly: Add specialists when a project demands it; wind down when it's done. No severance, no awkward conversations.
“The fastest way to move on a critical project is to put the right senior on it this week.”
