Hire AI agent developer talent
that ships past the demo
Your team runs the same fourteen steps by hand every day, in a tool that was never built to hold the process. Someone already wired a chatbot to it, and now there is a second process for checking the first one. That is the point where you hire AI agent developer help that thinks in workflows instead of prompts. We build agents that read your systems, take scoped actions, and leave a trail a human can audit on a Monday morning.
Scoped estimate in 1-2 business days. No obligation, NDA on request.
Selected clients and shipped projects
Awesome Kyiv
Shelfit
A senior team, not a sales layer
HighCraft.io is a senior team that pairs full-stack engineering with applied AI for healthcare, SaaS, and expert-led businesses. We earned Top Rated and a 100 percent Job Success Score on Upwork one delivery at a time.
You work with the engineers who build the software, not an account manager in front of them. We ship systems that hold up in production under real scrutiny, with the evaluation, guardrails, and audit trails that let you stop checking the work by hand.
2 weeks
idea to working prototype
End to end
prototype to production
Senior
engineers, no handoffs
The real objection is trust, and it should be. We design agents against the NIST AI Risk Management Framework, so each one runs with scoped permissions, a human approval step on anything irreversible, and traces you can hand to a reviewer. Reliability is an engineering problem, not a vibe.
Agents that do the work, not just the talking
Four things we build on every AI agent project, in this order.
Discovery before prompts
We map the workflow step by step, then decide which steps an agent should own. The steps that stay human get named out loud, so nobody discovers them in production.
Wired into your systems
Tool calls into your CRM, billing, warehouse, and internal APIs, with .NET and Azure behind them. React where a person still needs a screen to approve something.
Evals, traces, and an off switch
Every run is traced, scored against a test set, and replayable. When an agent drifts, you stop it from a dashboard instead of waiting for a deploy.
Guardrails for regulated work
Scoped permissions, PII redaction, approval gates, and HIPAA-aware handling for health data. Audit trails ship with the feature, not as a ticket for next quarter.
The agent is half the build
The other half is the unglamorous part: queues, retries, idempotency, and the dead letter queue nobody wants to name. We build that too, because that is where a demo stops being a demo.
100%
Job Success on Upwork
5.0
Average client rating
Top Rated
Agency on Upwork
11 yrs
Engineering leadership
HIPAA
Aligned delivery
Awards and accreditations
Verified on Upwork and recognized by independent agency directories.








Built for the rules healthcare runs on. Practices documented, not implied.
Security & trustAI Prototype Sprint
Validate the workflow before you fund the platform.
A two-week sprint that turns a complex workflow into a working prototype, architecture direction, and a build estimate you can act on.
- Working prototype
- Workflow map
- Architecture recommendation
- AI opportunity and risk assessment
- Delivery roadmap
- Fixed or phased build estimate
Two weeks, one fixed scope. You own everything we build, whether or not you continue.
Week 1
Discover the workflow, build the spine
Week 2
AI where it pays back, then prototype + estimate
Four ways to engage, and a low-risk way to start
We fit the model to the project and the risk, not to our invoice. Most clients start with a two-week discovery sprint that turns the idea into a working prototype and a real estimate, then move into whichever model fits the build.
Time and materials
You pay for the hours you use, billed weekly or monthly. The right call when scope is still moving and you want to steer as you go.
Dedicated team
A senior team embedded with yours and billed monthly, scaling up or down as the roadmap changes. Built for ongoing work, not a one-off.
Fixed price
Agreed scope, agreed price, agreed date. Works when the requirements are already clear and you want certainty before you sign.
Fixed milestones
Phased delivery, paid one milestone at a time. A way to take on a larger build and de-risk it stage by stage.
Clients trust us with messy, real-world software
From regulated healthcare workflows to payment-heavy platforms and internal business systems, the common thread is delivery that survives production.
Alex and his team built the core of our Healthcare SaaS. Their grasp of HIPAA and GDPR was crucial for our telemedicine features, and they added AI into the EMR so providers could make better data-driven calls. They know the Microsoft stack and held to WCAG 2.1 throughout. For a healthcare product that needs regulatory care and real engineering, HighCraft.io is the partner you want.

Oleg Shumar
Owner, GetTrusted.io
They were absolutely phenomenal. The team put in a lot of work to break down what was required of the project and gave an excellent presentation on the process. They were very attentive and kept open lines of communication throughout. The quality of the code was outstanding. Great knowledge of agile development and testable code. I highly recommend them and will be working with them again in the future.

Kayode Leonard
Founder, Project Wolf
Really enjoyed working with HighCraft.io. They are true professionals that know how to get things done. They were hardworking and skillful, exactly what we were looking for.

Maxim Grossman
Executive, Enigmex Technologies
HighCraft team did a great job creating a brand new site for my company, and I am loving it. It is exactly what I wanted and the team were true professionals and very nice to work with.

Alina Virstiuk
Founder, AwesomeKyiv
Three ways we turn complex workflows into working software
Start with a prototype, add AI where it creates leverage, or build the full production platform.
- 01
Working prototypes
A working prototype built around the real edge cases, so you can validate scope before funding a full build. The cheapest way to find the edge case nobody mentioned.
- 02
AI-enabled features
AI inside the product you already run: intake, search, summarization, classification, recommendations, or workflow assistance, with evaluation and guardrails. Built so a real user opens it twice.
- 03
Production platforms
Custom platforms built for real users: integrations, permissions, billing, audit trails, and maintenance. HIPAA-aware where it has to be.
Free vendor-risk check
Before you build, check the risk first.
Answer a few plain-English questions and get a vendor-risk read on ownership, proof of work, data exposure, and handover gaps before you fund the build.
- Takes about 3 minutes
- Built for vendor decisions
The page shows the first risk instantly. Email sends the full report.
Software that works, in production
Our clients get to focus on their business, instead of babysitting the stack that holds it together. Client cases below are anonymized where compliance demands; the rest ship under their own names.
How we build AI workflows that stay controllable
Agentic does not have to mean opaque. We put the controls where the risk is: permissions, approvals, and audit around every AI-assisted step.
Frontend
The product your users and staff actually work in.
API
Typed contracts and validation at the boundary.
Workflow engine
The deterministic spine: states, rules, and handoffs.
Agentic workflow layer
Inspects context, suggests next steps, and triggers tools, with human approval where it matters.
AI / LLM services
Models behind evaluation and fallback logic, not raw and unchecked output.
Integrations
EMR, Stripe, CRM, scheduling, and internal APIs.
Audit, monitoring, permissions
Every AI-assisted step logged, observable, and role-gated.
Controls, not black boxes
- Human approval for sensitive actions
- Tool calls scoped by permissions
- Audit logs for every AI-assisted step
- Evaluation and fallback logic, not raw model output
- Role-based access throughout
- Observability in production
- Integration with EMR, Stripe, CRM, scheduling, or internal APIs
Hire AI agent developer: questions buyers ask first
What buyers ask before they start.
What does it cost to hire an AI agent developer?
Honestly, it depends on how many systems the agent has to touch. One workflow with two integrations is a different number than an agent sitting across billing and support. We scope the first agent as fixed-price work after a short discovery, so you see the figure before anyone writes code.
How long until an agent is live for real users?
A single-workflow agent goes live in weeks, not quarters. We ship it narrow, behind an approval gate, for one team first. Scope grows after the evals hold, which is the quickest option and also the cheapest way to be wrong.
Which models and frameworks do you use?
Whichever one survives your eval set. Models sit behind an interface, so swapping providers is a config change and not a rewrite. We pick based on cost per run, latency, and how the thing behaves on your messiest real inputs.
Do we need clean data before we start?
No. Waiting for clean data is how these projects die of old age. We start with one workflow, build the retrieval and validation the agent needs for that slice, and fix data quality where it actually blocks output.
Who owns the code and the agent logic?
You do. Repos live in your organisation, infrastructure runs in your cloud account, and prompts and evals are versioned in the same place as the code. We hold access, not assets.
When are you not the right fit?
If the spec is already frozen and the ask is typing it out, you do not need an engineering partner with opinions. Same if a hosted product already covers the workflow, because paying a monthly fee beats owning a codebase for that. The other honest one is readiness: if nobody internally can say what a good output looks like, an agent will happily produce confident nonsense at scale. Define that first, then call us.
Tell us about your project
Send the shape of the problem, even if the requirements are still blurry. We reply with a scoped estimate, usually within 1-2 business days. No obligation, NDA on request.
- A senior engineer reads every brief, not a sales rep.
- If an off-the-shelf tool fits better, we will tell you.
- NDA on request before you share anything sensitive.
Prefer email? Write to business@highcraft.io
Rather talk it through? Book a 30-minute estimate review










