Hire an AI Infrastructure Engineer
The platform under your AI: gateways, GPUs, vector stores, and zero-downtime scale.
Builds and runs the substrate AI products live on: model gateways, inference infrastructure, vector databases, caching, rate limiting, and multi-provider failover.
30-minute fit call with an engineering lead. No hard sell, no deposit, and no change to the published rates.
What they own: concrete deliverables, not job-description poetry.
Model gateway & routing layer
One controlled door to every provider: keys, quotas, fallbacks, audit.
Inference infrastructure
Self-hosted or hybrid serving tuned for latency and unit cost.
Vector store operations
Indexing, sharding, and backup strategies that survive growth.
Caching & rate limiting
Semantic caching and throttling that cut spend without cutting quality.
Provider failover
Outages at OpenAI or Anthropic become a log line, not an incident.
Observability foundation
Latency, cost, and error budgets per feature, per customer.
When to hire a AI Infrastructure Engineer, and what week one proves.
- ●One provider outage takes your product down with it
- ●AI spend is a single scary invoice nobody can decompose
- ●Every team calls model APIs their own creative way
- 01Mapped every model call path in your product
- 02Put a gateway in front of the chaos
- 03Broke down cost per feature and per customer
- 04Set the first latency and error budgets
- ✓Provider outages your customers never see
- ✓AI unit economics per feature
- ✓Latency budgets that hold at scale
- ✓One governed path to every model
From role brief to production evidence.
You are not buying a resume. You are choosing a specific engineer, then testing the match on committed work before making a longer decision.
- 01
Map the real gap
A 30-minute call with an engineering lead defines what the AI Infrastructure Engineer must own, the stack they inherit, and the evidence that will count as a successful trial.
- 02
Review matched profiles
Within 48 hours, you receive 2–3 role-matched profiles. Review work history, technical evidence, certifications, and availability before choosing whom to interview.
- 03
Interview against the work
We help turn your current failure cases into practical interview scenarios. You choose the engineer; no profile moves forward without your approval.
- 04
Prove fit in one paid week
The engineer works in your repo or approved data environment. You judge real output, communication, and technical decisions before any month-to-month continuation.
No deposit, no unpaid test project, and no long-term contract required. Trial work is paid at the published rate and belongs to you.
Pick the level, keep the senior oversight.
- ✓Executes scoped work inside AI-accelerated workflows
- ✓Every line reviewed by a senior lead before merge
- ✓Ideal for well-defined backlogs and support capacity
- ✓Owns architecture, tradeoffs, and production readiness
- ✓Mentors your team and raises the local engineering bar
- ✓Ideal for greenfield systems and high-stakes paths
Dedicated engineers are billed monthly; Time & Material is billed hourly on tracked actuals. The paid one-week trial applies to every dedicated hire.
Most teams add a second seat once the first proves out.
What teams ask before they shortlist.
Comparing multiple engineering seats? Browse all 9 dedicated AI & data roles or book a 30-minute fit call to map the right boundary.
What does an AI Infrastructure Engineer own?
Builds and runs the substrate AI products live on: model gateways, inference infrastructure, vector databases, caching, rate limiting, and multi-provider failover. The role is accountable for concrete production deliverables including the model gateway & routing layer, inference infrastructure, and vector store operations. The trial scope names the output, reviewer, and acceptance evidence before work starts.
How do I know whether we need an AI Infrastructure Engineer?
This role is usually the right hire when one provider outage takes your product down with it; AI spend is a single scary invoice nobody can decompose; or every team calls model APIs their own creative way. On the matching call, an engineering lead checks the boundary against adjacent roles so you do not hire an impressive title for the wrong bottleneck.
How do you verify AI Infrastructure Engineer skills?
Profiles show relevant work history, technical interview evidence, role-specific capabilities, and meaningful certifications where they exist. We then help you interview against your own architecture and failure cases. The final check is a paid one-week trial in your repo or approved data environment, not a generic coding puzzle.
What should the paid one-week trial produce?
The trial is scoped around committed work your team already needs. For this role, a useful first week includes mapping every model call path in your product; putting a gateway in front of the chaos; breaking down cost per feature and per customer; and setting the first latency and error budgets. You keep the work whether or not the engagement continues.
What does it cost to hire an AI Infrastructure Engineer?
Published dedicated rates start at $3,200 per month, or $20 per hour for Time & Material work. Senior rates are $4,800 per month or $30 per hour. The trial is paid at the same published rate, with no deposit or conversion fee.
What happens if the engineer is not the right fit?
You can stop after the paid trial or request a free replacement during the engagement. Work continues month to month with no long-term lock-in. NDA and IP assignment are completed before onboarding, access is scoped to the work, and everything produced belongs to you.
Role-specific hiring & engineering playbooks for AI Infrastructure Engineers.
How to Build a Multi-Model AI Gateway with Automatic Fallbacks
7 Inference Cost Levers That Turn Negative AI Margins Positive
LLM Model Routing: Send 80% of Traffic to the Cheap Model
6 Mistakes That Destroy Prompt Cache Hit Rates in Production
8 Metrics Every MCP Gateway Must Log in Production
6 Query Routing Patterns: When Not to Use Vector Search at All
Interview an AI Infrastructure Engineer this week.
Bring your stack, your failure cases, and your constraints. We'll send 2–3 vetted profiles within 48 hours, then use the paid one-week trial to prove fit in your environment.
30-minute fit call · No hard sell, no deposit, and no unpaid test project · NDA before onboarding · Free replacement · No lock-in