Hire AI Developers Who Ship Production Systems
Most teams open a req, wait four to six months, and the roadmap moves on without them. Fill your AI or ML skill gap in days instead, without losing control of your codebase.
Three Ways to Get AI Engineering Capacity
Every CTO ends up choosing between the same three paths eventually. Here is where staff augmentation sits and what it actually trades off against the other two.
| Evaluation Dimension |
Full-Time Hire
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Outsourcing Vendor
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Staff Augmentation
Recommended for Fast-Moving Engineering Teams
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|---|---|---|---|
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Control & Ownership
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Direct managerial control, deepest long-term institutional knowledge | The vendor carries delivery risk and key decision-making on the project |
You direct the work day-to-day, maintaining full architectural authority — same as an in-house hire
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Integration Speed
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Slowest: full onboarding into culture, company policies and codebase (4–6 months) | Minimal internal coordination needed, but relies on vendor execution |
Rapid: Embeds into your existing tools, repos, and workflows within days
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|
Flexibility
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Fixed commitment, high severance/overhead, hard to scale down | Locked strictly to agreed scope; costly change orders for pivots |
Agile scaling: Scale headcount up or down effortlessly as scope shifts
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Best Fit For
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Permanent, well-defined, multi-year core product needs | One-off builds with a fixed, well-scoped external outcome | Ongoing or evolving AI/ML needs without permanent headcount lock-in |
What "Hire AI Developers" Actually Means
Need More Than a Hire? We Also Build the Agent Itself
If the gap isn't just headcount but the agent itself, our AI agent development services are a dedicated practice here, not a bolt-on.
The Stack Our Engineers Work In
Top Advantages When You Hire AI Engineers from Concretio
Every engineer you hire comes with capability across the full AI stack, not just one narrow skill. Here's what that actually covers and where we've already built it ourselves.
Diverse Technologies & Languages
Our engineers work across Python and the broader AI toolchain, not locked into one framework or vendor. That flexibility means we pick the right tool for your specific problem, not the tool we happen to know.
Data Engineering Expertise
AI is only as good as the data behind it. We build pipelines and reverse ETL that turn scattered data into a reliable source your models and agents can actually run on.
LLM Fine-Tuning
We adjust existing language models to match your domain, brand voice, and use case, so responses feel accurate and on-brand instead of generic.
Prompt Engineering
Custom prompts that improve accuracy, consistency, and real-world performance, tested and refined rather than written once and left alone.
RAG
We connect LLMs to your actual business data, so answers are grounded in your systems instead of the model’s general training.
ML Model Deployment
We deploy models with the system integration discipline that keeps them stable and accurate once they’re live, not just working in a notebook.
MCP Development
We implement the Model Context Protocol to open secure, structured context channels between LLMs and your existing systems, including inside tools your team already uses like Slack.
AI Agents Development Experience
From strategy through testing to launch, we build custom agents around your workflows and data, not a generic template.
Conversational AI Agent: Lumi
We didn’t just study agent development; we shipped our own. Lumi is a voice-based conversational AI agent that understands intent and takes real-time action against your live data.
AI Security & Maintenance
Guardrails, monitoring, and ongoing tuning keep agents and models compliant and reliable well after launch, not just on delivery day.
Third-Party AI Tools Integration
We connect your AI layer to the CRMs, ERPs, and platforms you already run on, so new AI capability extends your existing stack instead of sitting apart from it.
Not Sure Where to Start?
Before you commit to a build, our AI consulting services help you validate feasibility, define ROI, and pick the right architecture, so the engineers you hire aren't guessing at scope.
Why Choose Concret.io
Choose the engagement models below that align with your business goals, requirements, and long-term AI strategy.
12+
Years IT Experience
100+
Experts
150+
Projects Delivered
300+
Certifications
Your Path to AI Engineering Capacity
Consultation
Tell us the skill gap and the exact shape of the work you need delivered.
Matching
We shortlist engineers who have done this specific kind of AI/ML work before.
Interview
You assess technical fit directly — transparent, direct evaluations with no black box.
Onboarding
The engineer embeds in your team, GitHub repos, and communications within days.
Our AI Development Services
Concret.io is a multi-practice consultancy investing equally in AI, Data, HubSpot, and Workato, alongside two decades of Salesforce depth. Here's what our AI engineers actually build.
AI Agents Development
Custom agents built around your workflows and data, from strategy through testing to launch, not a generic template.
AI Consulting
Feasibility, ROI, and architecture guidance before you commit to a build, so scope is defined before engineers start.
Prompt Engineering
Custom, tested prompts that improve accuracy and consistency, refined rather than written once and left alone.
RAG
We connect LLMs to your actual business data, so answers are grounded in your systems, not the model's general training.
AI Workflow Automation
Automate the repetitive parts of a process so your team spends time on judgment calls, not manual handling.
AI Voice Agent
We built our own: Lumi, a conversational AI agent that understands intent and takes real-time action against live data.
Ready to Fill the Gap Without the Wait?
Book a call and tell us what you need built. We'll tell you honestly whether staff augmentation is the right fit or whether it isn't.
Questions We Hear Before Every Engagement
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Pricing depends on scope and seniority. We quote before work starts and bill only what's approved.
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Build & Deliver fits a defined project. Operate & Maintain fits an existing system that needs upkeep. Build-Operate-Transfer fits teams that want to own the system eventually. We'll help you choose on the call.
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You do. Every engagement includes NDA protection and source code ownership from day one.
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Typically days to two weeks once the scope is agreed upon, not the four to six months a direct hire takes.