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Senior Full Stack Developer & AI Engineer | 12+ Years of Experience | Data Science, Machine Learning, LLMs & Intelligent Automation
Full stack developer delivering scalable, reliable, and user-focused web solutions.
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Senior Full Stack Developer | Agentic AI Engineer | 10+ Years of Experience | AI Agents, Automation, SaaS & Web Applications
Building scalable web applications with clean architecture and reliable delivery.
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Senior Full Stack Developer | 12+ Years | Complex API Integrations, Python, React, Cloud Architecture & AI Automation
Building scalable web applications and reliable cloud solutions.
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| Level | Typical hourly rate | Best for |
|---|---|---|
| Mid-level | $40–75/hr | Integrations, chatbots |
| Senior | $65–120/hr | RAG, product AI features |
| Specialist/lead | $100–160/hr | Complex systems, fine-tuning |
Indicative market ranges; your matched specialist quotes an exact rate in the brief. Hourly work is billed weekly and processed only for the time you approve — so the rate is never a leap of faith.
Share the goal, constraints and timeline. We turn it into a structured brief — no technical writing required from you.
We match you with a hand-verified specialist whose stack and track record fit — not a stack of proposals to screen.
Progress is tracked in a shared workspace. Each week you review — and payment is processed only after you approve.
That's the standard starting point. The brief process includes identifying the highest-ROI use case — usually the repetitive text-heavy task your team hates most — then a one-week proof of concept before bigger commitment.
Guardrails are the craft: retrieval grounding, output validation, fallbacks to humans, evaluation sets. Verified specialists build those in from day one — that discipline is exactly what we vet for.
Proofs of concept: $2–6k. Production features: $5–20k depending on integration depth. Weekly approve-first billing means you can stop at the PoC if the value isn't obvious.
Every AI developer on HireHelper.ai is interviewed before joining the network; there is no open sign-up or bidding. You see each specialist's rate and experience before choosing and can talk to them before any work starts. For AI work, ask for systems real users relied on, how they measured output quality and how they kept API costs down.
Yes. Integrating OpenAI, Anthropic Claude or open-source models into an existing product is the most common AI request: assistants, document processing, search and automation. A good developer puts the model behind an abstraction so you can switch providers later.
Usually not at first. Most business use cases are solved with retrieval over your own documents (RAG) and well-designed prompts, which is faster and cheaper. Fine-tuning pays off when you have thousands of high-quality examples for a narrow, repeated task; for custom models trained on your data, a machine learning engineer is the better fit.
Model API fees depend on volume and model tier. For example, a support chatbot handling 10,000 conversations a month costs roughly $11 to $275 in OpenAI API fees depending on the model (September 2026 prices). Setting a monthly spend limit with the provider keeps it predictable.
Describe the project once. We structure the brief and show you up to three interview-vetted specialists; hourly work is billed weekly, only for the time you approve.
