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Hire vetted AI Engineers (Generative AI) who build LLM products end to end, from retrieval to production deployment. Shortlist in 48 hours; working within 4 working days.
Fig. 01AI & Data
AI Engineer
AI & Data
AvailabilityShortlist in 48 h
Vetted AI Engineer profiles free to start within 4 working days of signature. Counts appear in bands (5–10, 10–20, 20+); below 5 a role shows “Shortlist in 48 h” instead of a number.
Indicative monthly rate per seat
| Level | Experience | From (USD / month) |
|---|---|---|
| Mid | 4–6 years | 5,560 |
| Senior | 6–9 years | 7,310 |
| Lead | 9+ years | 9,500 |
Quotation-based. VAT shown separately. View in SAR, AED, USD or EUR. Quotes valid for 30 days.
Includes the AI & Data practice rate of +25% on the base band.
Remote Pro Ai provides vetted AI Engineers (Generative AI) who build LLM products end to end, from retrieval to production deployment. A typical engineer designs RAG pipelines with hybrid search, re-ranking and citation grounding, then proves quality with RAGAS and human review. Review anonymised profiles within 48 hours and have your engineer shipping within 4 working days.
Your AI Engineer designs RAG pipelines with chunking, hybrid search, re-ranking and citation grounding, and implements offline and online evaluation (RAGAS, LLM-as-judge, human review loops). Typical stack: Python, LangChain, LangGraph, Azure OpenAI and AWS Bedrock.
AI Engineer consistently ranks among the fastest-growing roles in the US and Europe, and AI skills command a clear wage premium. In the Gulf, most AI vacancies are about implementing and integrating AI rather than research, which is exactly this role: shipping copilots on private data under PDPL and SAMA controls.
Illustrative profiles that mirror the vetted bench for this role. Names, employers, full gate scores and video introductions, where recorded, are shared after the click-through NDA.
AI Engineer
Senior8 years
Remote Pro Ai Vetted Verify credential RP-5966
AI Engineer
Lead11 years
Remote Pro Ai Vetted Verify credential RP-7585
AI Engineer
Mid5 years
Remote Pro Ai Vetted Verify credential RP-2728
Illustrative profiles that mirror the vetted bench for this role, anonymised. Names, employers, full scores and credentials are shared after the mutual NDA in the booking flow.
Designs RAG pipelines with chunking, hybrid search, re-ranking and citation grounding
Builds orchestration with LangChain / LangGraph, function calling and structured outputs
Implements offline and online evaluation (RAGAS, LLM-as-judge, human review loops)
Optimises latency, token cost and caching for production-scale workloads
Secures LLM apps against prompt injection, data leakage and abuse
Toolset on our bench
We test each capability in a live technical assessment scored by a practice lead. Nothing on this list is taken from a CV.
Mid4–6 years
Delivers well-scoped work independently within your architecture and standards.
from USD 5,560/month
Senior6–9 years
Owns a component or workstream end to end, reviews code and mentors.
from USD 7,310/month
Lead9+ years
Sets technical direction, leads the squad and reports to your leadership.
from USD 9,500/month
We never place junior profiles. A practice lead confirms every level, so the band you buy is the scope you get.
Typical certifications held by our AI Engineer bench: Azure AI Engineer Associate · AWS ML Specialty. We verify every certificate with the issuing body before a profile reaches you, and list verified credentials on each profile card.
Remote Pro Ai information security: ISO/IEC 27001 certification in progress (target Q2 2027) · SOC 2 Type II planned for 2027. Evidence and policies are in the Trust Center.
Not sure this is the right role? Describe the outcome you need and the Scope Agent maps it to roles, levels and a draft squad in minutes.
A Saudi insurer
Arabic GenAI knowledge assistant
6 engineers · 7 months
Bilingual RAG assistant with evaluation harness, human-in-the-loop review, monitoring, one-click rollback and PDPL-compliant logging
MatchIQ™ is our vetting and matching engine: 3.4% of applicants pass 5 gates. The live assessment for this role tests the 5 capabilities above against a realistic task, not trivia.
Self-serve bookings receive a shortlist within 48 hours and enterprise requests get named candidates within 72 hours. After you approve a profile and sign, your specialist is working within 4 working days, whether the request is on the bench, off-bench or on-site. When fewer than 5 AI Engineer profiles are on the bench, we shortlist from the wider vetted network in the same 48 hours.
Pricing is quotation-based and depends on level, hours and any on-site, clearance or data-residency needs. Current bands: Mid from USD 5,560/month · Senior from USD 7,310/month · Lead from USD 9,500/month. VAT is shown separately, quotes can be viewed in SAR, AED, USD or EUR, and every quotation is valid for 30 days. The Squad Builder shows your quote instantly.
Remote Pro Ai is contractually responsible for quality. Raise it at any time: a replacement starts within 4 working days; the full handover completes in under 14 days. Your first engagement also begins with a no-bill trial, one per company: 5 working days on self-serve bookings and 10 on enterprise contracts.
This role is offered at Mid, Senior and Lead level. We never place junior profiles. A practice lead confirms each specialist’s level through a live technical assessment and reference checks, so the band on your quotation reflects scope the person has already delivered rather than a job title on a CV.
Yes. Our AI Engineers work inside your cloud account and identity boundary, so prompts, documents and embeddings never leave your environment. They are fluent in Azure OpenAI, AWS Bedrock and Vertex AI, and pair them with pgvector, Pinecone or Weaviate according to your data-residency and cost constraints.
They build an evaluation harness before scaling: offline tests with RAGAS metrics and LLM-as-judge scoring, then online checks and human review loops on real traffic. Launch criteria such as faithfulness, citation accuracy and refusal behaviour are agreed with you up front, so go-live is a measured decision.
An AI Engineer builds products on foundation models: retrieval, orchestration, prompts, evaluation and guardrails. A Machine Learning Engineer trains and serves custom models, such as fraud, ranking or forecasting, from your own data. Many programmes need both, plus an MLOps engineer to run everything reliably once usage grows.
Security is one of the 5 capabilities we test. Engineers apply input and output filtering, least-privilege tool access, permission checks at retrieval time and red-team suites for injection and exfiltration. For higher-risk deployments we pair them with an AI Security Engineer who maps controls to the OWASP LLM Top 10.
Add this role to a squad, see your quote instantly, and hold profiles free for 72 hours.
Build your squad online
No card needed · 72 h free hold · No-bill trial: 5 working days self-serve, 10 in the Enterprise lane.
20 minutes with a solutions architect
No sales script.