Hire AI Engineers Who Run AI in Production
AI engineering is its own discipline now — the layer between ML research and software engineering where models become reliable systems. When you hire AI engineers from Aizecs, you get specialists in exactly that layer: model serving, inference optimization, routing between providers, evals, and the observability that tells you when quality drifts. Named profiles arrive within 48 hours.
48h
Profiles ready to interview
<5%
Applicant acceptance rate
40–70%
Typical inference cost reduction
4+ hrs
Daily US Eastern overlap
Transparent Pricing
AI Engineer Rates Without the Sales Funnel
AI engineering commands a 20–30% premium over generalist software roles. Here's what that premium actually costs at each seniority level — published, not 'contact us for pricing'.
| Role / Seniority | Aizecs (India) | Toptal / Turing | Upwork Freelancers | US In-House |
|---|---|---|---|---|
| Mid-Level AI Engineer (3–5 yrs) | $28–$50/hr | $90–$130/hr | $40–$70/hr | $150–$190/hr |
| Senior AI Engineer (5–8 yrs) | $45–$80/hr | $110–$160/hr | $50–$90/hr | $180–$230/hr |
| Staff AI Engineer / Architect (8+ yrs) | $55–$85/hr | $130–$180+/hr | $60–$100/hr | $200–$250/hr |
| Platform / DevOps Engineer (AI infra) | $38–$65/hr | $90–$150/hr | $25–$50/hr | $140–$200/hr |
Rates for dedicated full-time engineers based on 2025–26 market data. Upwork columns show unvetted freelance asking rates. US in-house reflects total loaded cost including benefits, equity, and overhead.
How It Works
A Two-Week Path From Call to Committed Code
We compressed the hiring funnel to what actually matters: real profiles, your interviews, and a week of real work before any longer commitment.
Define the system, not just the role
A 30-minute conversation about your AI architecture — what's serving traffic, what's breaking, what's too expensive — so we match on the actual engineering problem.
Interview engineers within 48 hours
You receive 2–4 named profiles with production systems on their record. Probe them on inference optimization, eval design, failure modes — the questions that expose notebook-only experience.
Prove it in a paid trial week
The engineer works your real backlog inside your repo for one week. Underwhelmed? That week is your total exposure, and the replacement search starts the same day, free.
Run month-to-month from there
No annual contracts. Grow the engagement, adjust the specialization mix, or exit on 30 days' notice as your AI systems mature.
Roles We Staff
AI Engineering Specializations We Place
The AI engineer title spans several distinct disciplines. These six cover most of the demand we see — including the computer vision and NLP roles teams often search for separately.
AI Systems Engineers
Own the serving layer: model routing across Claude, GPT, and open-weight models, fallback chains, caching, and the latency budgets that keep AI features usable.
Inference & Cost Optimization Engineers
Cut token spend and p95 latency with prompt compression, semantic caching, batching, quantization, and right-sizing model choice per request class.
Computer Vision Engineers
Detection, OCR, segmentation, and multimodal pipelines deployed at real throughput — from document intelligence to visual inspection systems.
NLP Engineers
Classification, entity extraction, and summarization at scale — knowing when transformer fine-tunes beat LLM API calls and when they don't.
Evals & Observability Engineers
Build the measurement layer: automated eval suites, regression gates in CI, drift monitoring, and tracing so model changes never ship blind.
AI Platform Engineers
The infrastructure beneath it all — GPU orchestration, vector database operations (pgvector, Pinecone), CI/CD for model artifacts, and secure API gateways.
Why Aizecs
What Makes Aizecs Engineers Different
Anyone can put 'AI engineer' on a profile. Our screening is built to find the ones who have carried a pager for an AI system — and our terms make trying one nearly risk-free.
Systems-first vetting
Interviews center on production war stories: a latency incident, a cost blowout, an eval that caught a regression. Under 1 in 20 applicants pass.
The profile is the person
Named engineers with verifiable histories. Whoever impresses you in the technical round is who joins your standup — guaranteed.
One-week proof, on us
The paid trial week caps your downside at seven days of rate. Replacement is free and immediate if the fit is wrong.
Working hours that overlap yours
4+ hours daily with US Eastern, near-total overlap with EU and UK — incident response and architecture reviews happen while you're both awake.
AI-native by default
Our engineers build with agentic tooling and AI-assisted workflows daily, compounding senior judgment with modern leverage.
Clean legal footing
IP assignment and NDA under a US-enforceable MSA, with all work performed in your repositories under your access policies.
Engagement Models
Ways to Engage AI Engineering Talent
Three structures, all month-to-month after the trial week — choose based on how much AI surface area you're operating.
Specialist embed
A single AI engineer joins your platform or product team to own a defined system — serving, evals, or optimization.
Best for: One AI system that needs an expert owner
AI infrastructure pod
Three to four engineers spanning systems, platform, and evals who build and operate your AI layer as a unit.
Best for: Companies productionizing AI across multiple features
Architect-led buildout
A staff-level AI architect designs the target state and leads mid/senior engineers through implementation, then hands off a documented system.
Best for: Replatforming or first serious AI infrastructure
Compare Your Options
How Aizecs Compares for AI Engineering Hires
The same four options every engineering leader weighs — priced and risk-assessed honestly.
| Aizecs | Toptal / Turing | Upwork | US In-House | |
|---|---|---|---|---|
| Senior AI engineer rate | $45–$80/hr | $110–$160/hr | $50–$90/hr | $180–$230/hr loaded |
| Production-systems screening | Incident-level deep dives | Standardized tests | Self-reported | Your loop, 4–6 months |
| Start date | ~2 weeks | 2–4 weeks | Days, no vetting | 1–2 quarters |
| Mis-hire cost | One trial week | Refund negotiation | Full sunk cost | 6+ months salary + morale |
| Flexibility | Monthly, 30-day notice | Monthly + margin | Per contract | Permanent commitment |
FAQ
Common Questions
Why hire AI engineers instead of general software engineers for AI work?
AI systems fail differently — nondeterministic outputs, quality drift, token-cost blowouts, provider outages. AI engineers specialize in exactly those failure modes: they design eval gates, routing fallbacks, and cost controls that generalists learn painfully on the job. For systems serving real traffic, the specialization pays for itself quickly.
What does it cost to hire AI engineers through Aizecs?
Mid-level AI engineers run $28–$50/hr, seniors $45–$80/hr, and staff-level architects $55–$85/hr. AI specialization carries a 20–30% premium over generalist rates, but you're still 50–65% under US in-house loaded costs of $150–$250/hr, and well below Toptal/Turing's $90–$180+/hr.
What's the difference between an AI engineer and an AI developer?
An AI developer adds intelligent features to a product — chatbots, copilots, search. An AI engineer builds and operates the underlying systems: model serving, routing, inference optimization, evals, and platform infrastructure. If your question is 'how do we run AI reliably and affordably at scale', this is the role.
Can your AI engineers handle computer vision or NLP work specifically?
Yes — CV and NLP are two of our six core specializations. Computer vision engineers ship detection, OCR, and multimodal pipelines at production throughput; NLP engineers build classification and extraction systems and know when a fine-tuned transformer beats an LLM API call on cost and accuracy.
How senior are the engineers, really?
Median experience is over 5 years, and acceptance runs below 1 in 20 applicants. The screen requires defending a real production AI system — architecture, an incident they handled, measurable latency or cost improvements. Course certificates and demo repos don't get anyone through.
How fast can an AI engineer join our team?
Named profiles within 48 hours of the intro call; after your interview rounds, the trial week typically begins within 3–5 business days. Two weeks from first conversation to first commit is the norm, versus one to two quarters for an equivalent US hire.
What are the contract and IP terms?
A US-enforceable master services agreement with full IP assignment and NDA. Engineers work exclusively in your repos under your access controls. After the paid trial week, everything is month-to-month with 30 days' notice — no annual minimums, no early-exit penalties.
Get an AI Engineer Who's Done This Before
Walk us through your AI architecture on one call, and interview engineers with comparable production systems within 48 hours.
A paid trial week caps your risk at seven days — most clients know by Wednesday.
30 minutes, honest advice included. If your problem needs an API integration rather than an AI engineer, we'll say exactly that.