Hire AI Engineers in 48 Hours
First candidate CV in 24 hours. Replacement in 7 days, no questions asked. Pre-vetted AI engineers who ship production code, not résumés.
SquadXP helps product and engineering teams hire pre-vetted AI engineers on demand. Every engineer is tested for LLM fundamentals, retrieval (RAG), agent architectures, evaluation, and production deployment before we send you a CV.
How to hire AI developers in 4 steps
- Step 1
Share your requirement
Tell us the stack, seniority, timezone overlap, and the problem you're solving. A 20-minute call is usually enough.
- Step 2
Get shortlisted CVs in 24 hours
We send 2–4 pre-vetted engineers matched to your brief — with portfolios, test scores, and availability.
- Step 3
Interview your shortlist
Technical interview on your process. We can add a paid trial task if you prefer.
- Step 4
Onboard in 48 hours
Once you pick a hire, we handle contract, NDA, payroll and compliance. You get a 7-day replacement window, no questions asked.
What does an AI engineer do?
An AI engineer builds features powered by large language models: chat assistants, retrieval-augmented generation, structured extraction, agents, and LLM-backed internal tooling. Strong AI engineers handle the full path — prompt design, retrieval, grounding, tool use, evaluation, latency, and cost — and know when to fine-tune vs prompt vs retrieve.
Why a dedicated AI engineer is a distinct hire in 2026
- •LLM-backed features are a board-level priority for most product companies.
- •Prompt, retrieval, and evals are a genuinely new discipline distinct from classical ML.
- •Cost and latency of LLM inference reward seasoned engineers who know the tradeoffs.
- •Agent architectures and tool use have moved from demos to production in the last year.
- •Evaluations and guardrails are where most projects fail — seniority here saves months.
Skills to look for when you hire AI engineers
LLM fundamentals
Prompting, context windows, sampling parameters, function calling, structured output.
Retrieval (RAG)
Embeddings, vector DBs (pgvector, Pinecone, Weaviate), hybrid search, reranking.
Evaluation
Offline eval suites, LLM-as-judge, human-in-the-loop, regression tests for prompts.
Frameworks
Knows LangChain, LlamaIndex, DSPy, or when to go bare-metal against provider SDKs.
Fine-tuning
SFT, LoRA, DPO basics; knows when fine-tuning wins over prompting or retrieval.
Safety & guardrails
Prompt injection, PII handling, output validation, content filters.
Cost & latency
Caching, streaming, batching, smaller models for easy paths.
Production engineering
Backgrounds in Python/TypeScript backends and solid observability.
How much does it cost to hire a AI developer?
Hourly rates vary by region and seniority. Below are typical market ranges (USD/GBP/EUR hourly rates). SquadXP's live cost calculator gives you a tailored estimate based on your requirement.
| Region | Junior | Mid-level | Senior |
|---|---|---|---|
| United States | $60–$95/hr | $95–$140/hr | $140–$220/hr |
| United Kingdom | £50–£75/hr | £75–£110/hr | £110–£170/hr |
| Western Europe | €50–€80/hr | €80–€115/hr | €115–€170/hr |
| India / Offshore | $25–$40/hr | $40–$65/hr | $65–$100/hr |
Interview questions to ask AI developers
- Walk me through an LLM feature you've shipped to real users.
- How do you evaluate an LLM app beyond eyeballing outputs?
- When would you reach for fine-tuning over prompting + retrieval?
- How do you design a RAG system that doesn't hallucinate confidently?
- How do you handle prompt injection in a user-facing product?
- Describe how you debug a latency spike in an LLM pipeline.
- How do you version prompts and roll them back safely?
- What's your approach to agents vs chained prompts?
- How do you control cost without degrading quality?
- Describe a safety or quality failure you fixed in production.
Frequently asked questions
How fast can I hire a AI developer through SquadXP?▾
You'll get the first pre-vetted candidate CV within 24 hours of the intake call. Most clients finalise a AI hire within 48 hours and onboard within the same week.
What if the first hire doesn't work out?▾
You have a 7-day replacement window, no questions asked. We'll start sending replacements the moment you flag it — no invoices, no friction.
Can I hire AI developers across US, UK and EU timezones?▾
Yes. Our network spans multiple regions, so we can match any timezone overlap requirement — from full US hours to split UK/EU coverage.
Is this contract, full-time, or project-based?▾
All three. We support short-term projects, long-term contracts, and contract-to-hire. Most clients start with a 3-month engagement and extend.
Do you handle payroll, compliance, and NDAs?▾
Yes. SquadXP handles contracts, NDAs, payroll, tax compliance, and invoicing. You get a single monthly invoice and don't have to manage any local entity.
How do you protect IP and sensitive data?▾
Standard NDAs are in place before any candidate sees your brief. We follow NDA, HIPAA-aligned, and ISO 27001 processes. All engineers work on dedicated, encrypted machines.
Can SquadXP build a full AI team, not just one hire?▾
Yes. If you need a team (AI engineers + supporting roles like DevOps or QA), we source as a unit, including a team lead, and onboard them together.
Do your AI engineers work with open-source models too?▾
Yes. Many of our AI bench deploy Llama, Mistral, and Qwen on-prem or in VPC when cost, latency, or data-sovereignty require it.
Can the same hire cover frontend AI UX (streaming chat UIs)?▾
Many can. Tell us the surface and we'll match engineers comfortable on both sides.
Ready to hire AI developers?
Tell us what you're building. We'll send pre-vetted AI candidates within 24 hours — with a 7-day replacement guarantee on every hire.
Further reading
- GuideStaff Augmentation: The Complete 2026 Guide
Models, 2026 costs, legal checklist, and when staff aug beats outsourcing.
- BenchmarksDeveloper Hiring Costs: US vs UK vs EU vs LATAM vs India
2026 salary and contractor rate data by region, with 3-year TCO comparison.
- FrameworkStaff Aug vs Outsourcing vs Managed Services
Decision framework for which hiring model fits your team and scope.