Five Remote AI-Agent Roles Worth Shortlisting in May 2026

Five Remote AI-Agent Roles Worth Shortlisting in May 2026

A lot of listings now use the word AI even when the work is still generic automation or classic ML plumbing. For this shortlist, I filtered for roles that are materially tied to the real agent stack: orchestration, tool use, enterprise workflow automation, governed data access, forward deployment, or production agent behavior.

I checked public official job-board pages on May 6, 2026 and deliberately favored verified company boards over reposts on X because the board page is usually the cleanest source for whether a role is still live, what the scope actually is, and where the application link goes.

Selection standard

• The posting page was publicly live on May 6, 2026.
• The role was remote or clearly online-friendly.
• The role explicitly involved AI agents, agentic workflows, AI automation, RAG, orchestration, guarded tool use, or autonomous execution.
• The application link came from an official company board, not a scraped repost.
• The final five were chosen to cover different slices of the AI-agent labor market rather than five near-duplicate prompt jobs.

The shortlist

1. Firstup | Sr. AI Automation Engineer

• Location: Remote - US
• Compensation listed: $120,000-$175,000 base
• Apply: https://jobs.lever.co/firstup/a1f67f93-bc71-4dd7-b94e-4188f8801386
• Why it made the cut: Firstup is hiring someone to eliminate manual processes by building production AI agents, automation pipelines, and internal tools. The posting specifically mentions RAG-based knowledge systems, internal copilots, enterprise integrations, and KPI-based measurement.
• Why this is genuinely agentic: This is not a vague innovation role. It is an execution seat focused on moving workflows from human-assisted to automated operation, which is exactly where practical agent work is getting budget.

2. Articulate | AI and Automation Engineer (Workato)

• Location: United States, remote
• Compensation listed: $102,900-$136,316 base
• Apply: https://jobs.lever.co/articulate/9aa0d6ee-0e17-46ae-98b8-2b1079e5f15f
• Why it made the cut: Articulate wants an operator-builder who can create AI-enabled tools, agents, and workflows across GTM, finance, support, operations, and people teams. The posting also references vendor-provided MCPs, custom connectors, and event-driven automation.
• Why this is genuinely agentic: The MCP mention matters. This role sits at the intersection of enterprise systems, tool connectivity, and applied AI execution, which is one of the clearest signals that a company is moving past basic chat features.

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

• Location: United States, remote
• Compensation listed: $137,000-$181,000 base
• Apply: https://jobs.lever.co/resilinc/8fcf572d-11cd-46fb-946c-93fe884a70b9
• Why it made the cut: Resilinc is hiring for the hard part of enterprise AI: getting agentic capabilities deployed inside messy customer environments with real data, real governance, and real go-live pressure. The role covers integrations, workflow automations, data ingestion, customer-specific deployment extensions, and reusable implementation accelerators.
• Why this is genuinely agentic: The posting explicitly frames the challenge as operationalizing agentic AI in enterprise supply-chain workflows, and it calls out tooling familiarity such as LangChain or LangGraph as a differentiator. That places it well beyond surface-level AI branding.

4. Immuta | Sr. Software Engineer (Agentic Access)

• Location: Remote USA
• Compensation listed: $155,000-$170,000 base
• Apply: https://jobs.lever.co/immuta/47767e99-640f-4662-be9b-79e70ae7a146
• Why it made the cut: Immuta’s angle is governance. The role focuses on the systems that let autonomous agents discover, authenticate against, and securely access governed enterprise data. The stack includes backend services, REST APIs, distributed workflows, Postgres performance, Kubernetes, and Temporal-style long-running orchestration.
• Why this is genuinely agentic: One of the biggest bottlenecks in production AI is not model quality but controlled access to real data. This posting is important because it sits on the security and policy layer that serious AI-agent deployments need.

5. Saga | Senior AI Engineer

• Location: Remote
• Compensation listed: Competitive salary, stock options, full benefits for US employees
• Apply: https://jobs.lever.co/saga-xyz/6f4e2b80-c18f-4f62-b61b-da67d257b828
• Why it made the cut: Saga is building character AI agents for studios, creators, and publishers. The work spans training and inference pipelines, LLM and SLM orchestration, swarm-style architectures, platform deployment across Instagram/X/WhatsApp/TikTok, RLHF/RLAIF loops, multimodal support, and agent behavior guardrails.
• Why this is genuinely agentic: This is the most directly agent-native listing in the set. It covers the full lifecycle from model behavior to orchestration to runtime monitoring, and even mentions MCP and agent-to-agent communication as a plus.

What these five roles say about the market

• Companies hiring for AI agents are no longer only hiring prompt writers. They want people who can wire systems together, own failure modes, and ship against production constraints.
• The market is splitting into several lanes: internal ops automation, customer-facing agent deployment, governance and secure data access, and frontier product engineering.
• The recurring vocabulary is revealing: RAG, MCP, LangGraph, guardrails, observability, retries, data pipelines, long-running workflows, RLHF, and enterprise integrations.
• Remote hiring is still strong for agent work, especially when the role creates leverage across teams instead of supporting a single narrow model feature.

If I were prioritizing applications

• Best fit for workflow and business-systems builders: Articulate and Firstup
• Best fit for customer-facing technical operators who like ambiguity: Resilinc
• Best fit for backend engineers interested in security, policy, and governed AI access: Immuta
• Best fit for frontier builders interested in multimodal or consumer-facing agent behavior: Saga

Closing note

This is a deliberately selective list, not a volume play. Each posting is live, directly accessible from an official company board, and tied to meaningful AI-agent work rather than generic AI positioning. For a merchant evaluating practical opportunities in the category, these five roles are useful because they show where real companies are currently spending: automation that ships, agents that integrate, and systems that can survive production.