AI that reaches production, not another pilot
Hire from vetted AI & Data specialists who build and run GenAI copilots, agents, ML models and data platforms. Any engineer or squad starts within 4 working days.
No card needed · 72 h free hold
Fig. 01AI & Data Practice
Vetted AI, machine-learning and data specialists. Ready squads in 4 working days, with Arabic-language and sovereign-cloud depth.
Remote Pro Ai’s AI & Data practice lets you hire AI engineers from a bench of vetted specialists who build, deploy and operate AI systems: GenAI copilots, agentic automation, machine-learning models and governed data platforms. Every specialist has shipped to live traffic, and any engineer or squad starts within 4 working days.
Production-first
Every engineer has run models or LLM applications on live traffic, with evaluation and rollback.
Arabic and sovereign
Arabic NLP for MSA and Gulf dialects, deployed under PDPL, SAMA and NCA controls.
Governed by design
EU AI Act, ISO/IEC 42001 and NIST AI RMF practices built into delivery.
The snapshot reads the same feed as bench availability. A specialist counts as available when vetted, between assignments and startable inside 4 working days.
Snapshot, updated daily at 09:00 Riyadh time. Counts appear in bands (5–10, 10–20, 20+); below 5 a role shows “Shortlist in 48 h” instead of a number.
We add retrieval tuning, an evaluation harness, monitoring and one-click rollback. A GenAI copilot on private data typically goes live in 8–10 weeks.
Multi-agent workflows with least-privilege tool access, human checkpoints and a complete audit trail.
A lakehouse with data contracts, lineage and a governed semantic layer that feeds both models and reporting.
Fine-tuning and evaluation for Modern Standard Arabic and Gulf dialects, including code-switching and diacritics.
Use cases mapped to EU AI Act risk tiers and PDPL, with model cards, DPIAs and human-oversight design.
Token budgets, caching, model routing and GPU scheduling, reported as cost per resolved task.
Agent engineer, LLM engineer, MLOps and QA evaluation
Data architect, data engineers, analytics and BI
Arabic language AI engineers, ML engineer, data engineer, Arabic evaluator
Each squad has a fixed composition, a monthly price in your currency and a 72-hour free hold, and it starts within 4 working days of signature. Compare AI & Data Ready Squads.
| Role | What they own | Levels | Badge |
|---|---|---|---|
| AI Engineer (Generative AI) | RAG, orchestration, evaluation and deployment of LLM products | Mid · Senior · Lead | In demand |
| AI Agent Engineer | Tool-using multi-agent systems with guardrails and tracing | Mid · Senior · Lead | Rising 2026 |
| MLOps / ML Platform Engineer | CI/CD for models and prompts, GPU platforms, model observability | Mid · Senior · Lead | Rising 2026 |
| Data Engineer | Batch and streaming pipelines, lakehouse layers, data quality | Mid · Senior · Lead | In demand |
| NLP / Arabic Language AI Engineer | Arabic fine-tuning, speech-to-text and evaluation sets | Mid · Senior · Lead | Rising 2026 |
| Machine Learning Engineer | Forecasting, ranking and fraud models served at scale | Mid · Senior · Lead | Not applicable |
| AI Solutions Architect | Reference architecture, residency, TCO and model selection | Senior · Lead | In demand |
| AI Governance & Responsible AI Specialist | Risk tiers, ISO/IEC 42001 controls, bias testing | Mid · Senior · Lead | Rising 2026 |
Model platforms · Orchestration and agents · Machine learning · MLOps · Data · Retrieval and evaluation · Analytics
Model platforms
Azure OpenAI, AWS Bedrock, Vertex AI, and open models including ALLaM, Jais and Falcon.
Orchestration and agents
LangChain, LangGraph, AutoGen, CrewAI, MCP, OpenAI Agents SDK, Temporal.
Machine learning
PyTorch, TensorFlow, scikit-learn, XGBoost, Hugging Face, vLLM.
MLOps
MLflow, Kubeflow, Ray, Feast, KServe, Seldon, Argo, Prometheus.
Data
Databricks, Snowflake, BigQuery, dbt, Airflow, Kafka, Iceberg.
Retrieval and evaluation
pgvector, Pinecone, Weaviate, RAGAS, LangSmith, Arize, Evidently.
Analytics
Power BI, Tableau, Looker, Microsoft Fabric.
Browse every stack with a vetted bench on the Technologies index.
Arabic GenAI knowledge assistant · A Saudi insurer
A bilingual RAG assistant for policy servicing and internal knowledge, with an evaluation harness, human-in-the-loop review, monitoring and one-click rollback. PDPL-compliant logging; workloads in the client’s cloud region (Pattern B).
Smart-mobility data platform · A transport operator, Dubai
Real-time ingestion from fleet and station sensors, streaming analytics, operations dashboards and an open-data API, deployed in a UAE cloud region.
Omar Farouk · Head of AI & Data
The Head of AI & Data approves every placement before a candidate reaches a client, and owns the practice’s assessment design, its evaluation standards for LLM systems and the escalation path for squads in delivery. Clients meet the practice lead during quarterly reviews of larger AI & Data engagements.
Screen · Live technical · Practical · Communication · Background and references
Only 3.4% of applicants pass 5 gates. For this practice, the gates test production behaviour, not certificates.
Proof of a model or LLM app on live traffic, and the candidate’s role.
Fix a failing RAG pipeline in 90 minutes: recall, grounding, citations and latency trade-offs.
Build an evaluation set with LLM-as-judge plus human sampling, then defend a cost and latency budget.
Explain one model decision to a non-technical owner in English; Arabic-facing roles repeat it in Arabic.
References confirm production ownership; certifications and employment are verified.
Banking and insurance · Government · Telecom · Energy and utilities · Healthcare · Retail
Banking and insurance
fraud scoring, credit risk, Arabic service assistants. Banking & Fintech
Government
Arabic document AI and citizen-service agents with in-Kingdom hosting. Government
Telecom
churn prediction, network analytics, contact-centre copilots. Telecom
Energy and utilities
computer-vision inspection and demand forecasting. Energy & Utilities
Healthcare
clinical document AI with PDPL and HIPAA logging. Healthcare
Retail
recommendation, demand forecasting and personalised search. Retail & E-commerce
EU AI Act · ISO/IEC 42001 · NIST AI RMF · PDPL · SAMA CSF · Azure OpenAI · AWS Bedrock · Vertex AI
Certifications held across the bench include Azure AI Engineer Associate, AWS Machine Learning Specialty, Google Professional ML Engineer, Databricks Data Engineer, SnowPro, IAPP AIGP and ISO/IEC 42001 Lead Implementer. Remote Pro Ai’s company status: ISO/IEC 27001 in progress (certification target Q2 2027); SOC 2 Type II planned for 2027. Current company certification status is published in the Trust Center.
20 minutes with a solutions architect. No sales script.
Submit the role and stack and you receive named, vetted candidates within 72 hours, or a 48-hour shortlist if you book self-serve. Once you approve, the engineer starts within 4 working days. You then have a no-bill trial of 5 working days (self-serve) or 10 working days (enterprise) to confirm the fit.
Yes. The practice includes NLP / Arabic Language AI Engineers who fine-tune and evaluate models for Modern Standard Arabic and Gulf dialects. They work with ALLaM, Jais, Falcon and Whisper, handle diacritics and Arabic-English code-switching, and build Arabic evaluation sets that measure accuracy, safety and cultural alignment before release.
Yes, and it is the default for regulated clients. Engineers work inside your tenancy (Pattern A), in your chosen cloud region (Pattern B) or in an isolated enclave (Pattern C). The pattern is written into the Statement of Work, so data location is a contractual term rather than a promise in a proposal.
Every LLM system ships with grounding checks, citation requirements, an offline evaluation set and online monitoring of answer quality. Engineers test for prompt injection and data leakage before release and add tool-permission boundaries for agents. Where risk is high, we add an AI Security Engineer to red-team the application against the OWASP LLM Top 10.
We are vendor-neutral. Squads build on Azure OpenAI, AWS Bedrock and Vertex AI, and on open models such as ALLaM, Jais, Falcon and Llama-family models served with vLLM. AI Solutions Architects compare options on accuracy, latency, cost and residency for your use case before any build begins.
Yes. AI Governance & Responsible AI Specialists classify use cases by EU AI Act risk tier, implement ISO/IEC 42001 and NIST AI RMF controls, and write model cards and DPIAs. They work beside the engineers, so documentation reflects the system as built and is ready when an auditor or regulator asks.
Pricing is quotation-based and depends on roles, seniority, hours and residency needs. Ready squads carry a fixed monthly price from USD 28,400/month, shown in SAR, AED, USD or EUR with VAT separate. Single roles are priced by Mid, Senior or Lead band. Every quotation is itemised and valid for 30 days.
Reserve an AI & Data squad for 72 hours at no cost, or send one sentence about your use case and get named candidates within 72 hours.
Build your squad online
No card needed · 72 h free hold
20 minutes with a solutions architect
No sales script.