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Hire vetted AI Agent Engineers who design autonomous, tool-using systems that act safely inside your business. Shortlist in 48 hours; working within 4 working days.
Fig. 01AI & Data
AI Agent Engineer
AI & Data
AvailabilityShortlist in 48 h
Vetted AI Agent 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 |
|---|---|
| Mid | 2–5 years |
| Senior | 5–9 years |
| Lead | 9+ years |
Seat prices are quoted per level, practice and engagement model in your itemised proposal — by e-mail within 2 minutes of your request.
Quotation-based. VAT shown separately. View in SAR, AED, USD or EUR. Quotes valid for 30 days.
Remote Pro Ai supplies AI Agent Engineers who design autonomous, tool-using systems that act safely inside your business. They architect planner, executor and critic workflows in LangGraph, AutoGen or CrewAI, connect enterprise APIs through MCP with least-privilege access, and add human checkpoints with rollback.
Your AI Agent Engineer architects multi-agent workflows (planner / executor / critic) with LangGraph, AutoGen or CrewAI, and implements memory, state management, human-in-the-loop checkpoints and rollback. Typical stack: LangGraph, AutoGen, CrewAI, MCP and OpenAI Agents SDK.
Agentic engineering has replaced standalone prompt engineering as the rising AI title, as enterprises move from chat pilots to agents that file tickets, reconcile invoices and update records. That shift raises the stakes: every tool call needs permissions, tracing and a human override, and few engineers have built that discipline into production systems.
Remote Pro Ai team members in this role or its practice: identity verified and under contract. Open a profile for their experience, projects and skills.
Mid · AI Agent Engineer
Identity verifiedView profile: Manar Ayman
Senior · Analytics Engineer
Identity verifiedView profile: Islam Shoier
Mid · Analytics Engineer
Identity verifiedView profile: Mohamed Fouad
Architects multi-agent workflows (planner / executor / critic) with LangGraph, AutoGen or CrewAI
Integrates tools and enterprise APIs via MCP and function calling with least-privilege access
Implements memory, state management, human-in-the-loop checkpoints and rollback
Builds agent tracing, evaluation harnesses and cost / safety guardrails
Hardens agents against prompt injection and unsafe tool execution
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.
Mid2–5 years
Delivers well-scoped work independently within your architecture and standards.
Senior5–9 years
Owns a component or workstream end to end, reviews code and mentors.
Lead9+ years
Sets technical direction, leads the squad and reports to your leadership.
Seat prices are quoted per level, practice and engagement model in your itemised proposal — by e-mail within 2 minutes of your request.
We never place junior profiles. A practice lead confirms every level, so the band you buy is the scope you get.
No single certification defines this role, so we test the work itself: a live technical assessment scored by a practice lead, plus references from shipped projects.
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 Squad Builder 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.
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 Agent 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 · Senior · Lead — Seat prices are quoted per level, practice and engagement model in your itemised proposal — by e-mail within 2 minutes of your request.. 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 sends your itemised quote by email within 2 minutes.
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.
Start with high-volume, rules-heavy work that already has an audit trail: invoice matching, IT service requests, customer-operations triage or KYC document checks. Our agent engineers map the process, define where a human must approve, and measure throughput and error rates against the manual baseline before anything scales.
Agents run with least-privilege tool access, explicit allow-lists and human checkpoints before irreversible steps such as payments or record deletion. Every decision is traced in tools like LangSmith or Arize, guardrails cap cost and retries, and rollback paths are designed before the agent touches production data.
Yes. They integrate tools and enterprise APIs through the Model Context Protocol and function calling, building on LangGraph, AutoGen, CrewAI or the OpenAI Agents SDK to suit your stack. For long-running or failure-prone workflows they add durable execution with Temporal, so agents resume cleanly after errors.
Engineers build evaluation harnesses that replay realistic tasks and score completion rate, tool-call accuracy, safety violations and cost per task. Results are compared with the human baseline and reviewed with your process owner. Only agents that meet agreed thresholds graduate from shadow mode to live operation.
Add this role to a squad, get your quote by email, 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 an Account Director
No sales script.