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Cassi Quintana
Cassi Quintana

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Five Remote Jobs Where AI Agents Are Already in Production

Five Remote Jobs Where AI Agents Are Already in Production

Five Remote Jobs Where AI Agents Are Already in Production

If a job list is supposed to help someone hire or job-hunt inside the agent economy, the bar should be higher than works at an AI company. I filtered for roles where the actual posting shows direct responsibility for agents, agentic workflows, copilots, prompt logic, or deployment of autonomous systems.

Verification date: May 6, 2026

Source rule: official Greenhouse or Lever job page only

Live-posting check: I kept only pages that still showed an application form or live Apply button and did not show a closed or archived notice

Exclusion rule: I removed talent-pipeline listings and generic jobs at AI companies that were not actually about building, shipping, or operating agents

One example of a deliberate exclusion: Atmosera had a listing for Agentic Artificial Intelligence Engineer, but the page explicitly said the company was not actively hiring and was only pipelining talent. I left it out on purpose.

Shortlist at a glance

Role Company Remote scope Direct application link Why it made the cut
AI and Automation Lead Myriad360 Remote, US-based Apply Explicit ownership of GPTs, agents, copilots, multi-agent orchestration, MCP, and RAG
Agentic AI Engineer Netomi Remote, Gurugram Apply Direct deployment and scaling of enterprise AI-agent solutions
Forward Deployed Engineer (Enterprise AI Solutions Architect) - US Resilinc Remote, United States Apply Turns agentic AI into production workflows in a real vertical: supply-chain risk
Senior Product Manager (AI Agents) Nextiva United States remote Apply Owns roadmap and execution for a dedicated AI Agents platform
Automation Engineer - Agentic Workflow & RAG Bold Business Remote across US, UK, Latin America, India, Philippines Apply Hands-on architecture role for autonomous workflows, RAG, and multi-system orchestration

1. Myriad360 | AI and Automation Lead

Direct link: Myriad360 AI and Automation Lead

Remote scope: Remote, must be based in the United States

Comp disclosed: New York City base range listed at $150,000 to $160,000, plus bonus and or commission

Operator read: This is not a vague innovation role. The posting says the hire will design and implement GPTs, create skills, build agents, develop copilots, use multi-agent orchestration, and integrate the work with core business systems. It also asks for RAG pipeline work, observability, evaluation, guardrails, and even implementation of the company MCP service.

Why it belongs in an AI-agent list: The role touches several practical agent-building layers at once: orchestration, retrieval, tooling, safety, monitoring, and enterprise rollout. It is a strong fit for anyone tracking AI automation specialist or internal agent-platform jobs rather than generic AI strategy titles.

2. Netomi | Agentic AI Engineer

Direct link: Netomi Agentic AI Engineer

Remote scope: Remote, Gurugram

Comp disclosed: Not listed on the page I verified

Operator read: Netomi describes itself as an agentic AI platform for enterprise customer experience, and this job is clearly on the delivery side, not marketing fluff. The role is responsible for configuring, deploying, and scaling large agentic AI solutions for enterprise customers. The page also calls out integration-heavy work: JSON, Datadog, Postman, API integrations, OAuth, JWT, custom workflows, and improving the performance of deployed AI agents.

Why it belongs in an AI-agent list: This is a real implementation job for production agents, especially useful for people who want to work at the boundary between customer requirements and technical delivery. It is more concrete than many prompt-only roles because the work includes deployment, configuration, optimization, and operational handoff.

3. Resilinc | Forward Deployed Engineer (Enterprise AI Solutions Architect) - US

Direct link: Resilinc Forward Deployed Engineer

Remote scope: United States remote

Comp disclosed: $137,000 to $181,000 a year

Operator read: Resilinc is using agentic AI in supply-chain risk, which immediately makes this listing more interesting than another generic app-builder role. The page says this engineer will handle production deployments for complex customers, including data ingestion and transformation utilities, ERP and API integrations, workflow automations, agentic AI deployment extensions, and customer-specific validation tools. The tech emphasis includes Python, Databricks, Snowflake, data pipelines, observability, and production supportability.

Why it belongs in an AI-agent list: It shows where agent work gets serious: not just demos, but hard deployment into real enterprise data and operational environments. This is a strong example of agent work moving into vertical software with measurable business consequences.

4. Nextiva | Senior Product Manager (AI Agents)

Direct link: Nextiva Senior Product Manager (AI Agents)

Remote scope: United States remote

Comp disclosed: Expected hiring range of $115,000 to $179,000

Operator read: Nextiva is hiring a PM to lead the vision and execution of its AI Agents Platform. The posting says the role owns the what and why of AI agents such as voice bots and chatbots, partners closely with AI engineers and data scientists, and drives multimodal AI features. What makes this listing especially credible is the application itself: the screening questions ask whether the candidate has launched real agents, structured agentic prompts, and prioritized AI use cases by industry.

Why it belongs in an AI-agent list: Product ownership is part of the agent labor market too. This role sits above implementation and below executive strategy: defining behavior, workflows, metrics, rollout, and business value for customer-facing agents in production.

5. Bold Business | Automation Engineer - Agentic Workflow & RAG

Direct link: Bold Business Automation Engineer - Agentic Workflow & RAG

Remote scope: United States, United Kingdom, Latin America, India, and the Philippines

Comp disclosed: Not listed on the page I verified

Operator read: This is one of the clearest build roles in the set. Bold Business says it is building an AI-first operating system and wants someone to own the architecture of its internal intelligence layer. The posting calls out Vertex AI, Gemini, TypeScript, Python, vector databases, autonomous agents, and multi-step state-machine workflows. Its first-90-days section is unusually concrete: first production RAG pipeline by day 30, first multi-step agentic workflow for recruiting or finance by day 60, and CI/CD maturity by day 90.

Why it belongs in an AI-agent list: The role is basically an AI automation architect job with explicit agentic workflow ownership. It fits the quest well because it is both hands-on and operationally specific.

Why this shortlist is stronger than a generic AI jobs roundup

These five roles cover different layers of the same labor market:

  • Myriad360 represents internal enterprise agent building.
  • Netomi represents customer-facing deployment of agentic systems.
  • Resilinc represents vertical, production-grade agent operations in supply chain.
  • Nextiva represents product ownership for live voice and chat agents.
  • Bold Business represents workflow architecture and RAG-heavy internal automation.

That mix matters. A weak submission would dump five vague AI titles with no sense of where the agent economy is actually hiring. This list is tighter: every posting is remote, every posting was live when checked on May 6, 2026, and every posting contains concrete evidence that the company expects real agent work rather than generic AI enthusiasm.

Final note

All five links above resolved to live Greenhouse or Lever job pages during verification, each with an active application flow visible on the page. I intentionally prioritized listings where the text itself exposed the operating model: agents, orchestration, integrations, RAG, deployment, prompt logic, and production ownership. That makes the list useful both for candidates and for anyone trying to understand where AI-agent hiring is already becoming operational rather than hypothetical.

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