Five Remote AI-Agent Jobs That Are Actually Shipping Agents

Five Remote AI-Agent Jobs That Are Actually Shipping Agents

Most AI job roundups are noisy because they lump together generic "AI" roles with jobs that are genuinely about agents. I filtered this list more tightly.

This shortlist was checked on May 6, 2026 using official company-hosted job pages on Greenhouse or Lever. I treated a posting as live when the official page still exposed an Apply button or a full application form on that date. I also excluded vague marketing uses of "AI" and kept only roles where the listing itself clearly referenced agent behavior, orchestration, retrieval, tool use, guardrails, action-taking, or agent-oriented infrastructure.

Selection rules

• Official employer-hosted application page, not an aggregator repost.
• Remote or remote-first role.
• The listing still showed a live apply surface on May 6, 2026.
• The work is directly tied to AI agents, agentic workflows, or agent infrastructure.
• The description contains enough specifics to judge whether the role is real and technically relevant.

At-a-glance list

Role	Company	Remote scope	Direct application link
AI Agent Architect, Customer Experience	Airtable	Remote - US	https://job-boards.greenhouse.io/airtable/jobs/8409168002
Senior Software Engineer, Backend (AI Agent)	Cresta	United States (Remote)	https://job-boards.greenhouse.io/cresta/jobs/5133464008
Principal AI Engineer (Autonomous Agent) (US)	PointClickCare	Remote, USA	https://jobs.lever.co/pointclickcare/1f8400f8-a731-42f0-b617-574cfcbbd92f
Senior AI Engineer	Saga	Remote	https://jobs.lever.co/saga-xyz/6f4e2b80-c18f-4f62-b61b-da67d257b828
AI Engineer	MuttData	Remote	https://jobs.lever.co/muttdata/46f78eef-820a-437a-ae14-f70a460d4fc6

1. Airtable: AI Agent Architect, Customer Experience

Company: Airtable

Location: Remote - US

Apply: https://job-boards.greenhouse.io/airtable/jobs/8409168002

Airtable is hiring an architect-level operator for its AI-native customer support stack. This is not framed as a lightweight prompt-tuning role. The posting says the hire will design how support agents reason, retrieve, decide, and act, and will own the knowledge systems, decision logic, safety layers, and integrations that let the agent resolve issues without unnecessary human escalation.

What makes it stand out is the systems view. The job explicitly ties agent quality to retrieval precision, hallucination control, feedback loops, API access patterns, business logic, and failure prevention. That is strong evidence this is a real production agent role rather than a generic LLM label.

Why it is relevant to AI Agents:
Airtable is describing the exact stack problems that define modern agent work: retrieval, tool access, action boundaries, observability, and prompt/version evaluation. If someone wants a role focused on making agents reliable in customer operations, this is one of the clearest examples in the market.

Extra signal:
The listing includes a live Greenhouse application form and salary bands for remote applicants, which makes it more credible than anonymous reposts.

2. Cresta: Senior Software Engineer, Backend (AI Agent)

Company: Cresta

Location: United States (Remote)

Apply: https://job-boards.greenhouse.io/cresta/jobs/5133464008

Cresta's opening is for a backend engineer supporting AI agents in large-scale contact-center environments. The posting says the hire will design and maintain backend architecture for the company's AI agent solutions, optimize response times, process high volumes of data, and improve security, availability, and cost efficiency.

This one matters because agent teams often fail at the infrastructure layer long before model quality becomes the bottleneck. Cresta is hiring for the backend systems that keep agent workflows stable under real production load.

Why it is relevant to AI Agents:
The listing explicitly calls out backend architectures for AI Agent solutions, integration of AI agents into customer-facing systems, and prior experience with virtual-agent or AI-agent systems. That puts it squarely in the agent engineering category, especially for people who work at the intersection of APIs, microservices, data systems, and production reliability.

Extra signal:
The page still showed a live Greenhouse application form on May 6, 2026, and it publishes a salary range of $205,000-$270,000 plus equity, which is unusually transparent for an agent-focused backend role.

3. PointClickCare: Principal AI Engineer (Autonomous Agent) (US)

Company: PointClickCare

Location: Remote, USA

Apply: https://jobs.lever.co/pointclickcare/1f8400f8-a731-42f0-b617-574cfcbbd92f

PointClickCare is hiring a principal-level engineer to build autonomous-agent capabilities inside healthcare software. The job summary says the engineer will work with product and engineering teams to design agent-based solutions, build new agent data types and pipelines, and enable frameworks for agent reasoning, function calling, and action coordination.

That wording is unusually specific. It signals a role beyond generic automation or dashboard AI. In healthcare, those details matter because action-taking systems need stronger controls, integrations, and traceability than chat-only assistants.

Why it is relevant to AI Agents:
This role directly references autonomous agents, function calling, and coordinated action. Those are core agent primitives. It is especially relevant for candidates interested in high-stakes sectors where agent design has to balance usefulness with operational safety.

Extra signal:
The official Lever page still exposed an apply button, and the surrounding company description explains that the team serves as a central product owner for generative AI capabilities across the business, which suggests the role has strategic scope rather than being an isolated experiment.

4. Saga: Senior AI Engineer

Company: Saga

Location: Remote

Apply: https://jobs.lever.co/saga-xyz/6f4e2b80-c18f-4f62-b61b-da67d257b828

Saga is building infrastructure and products for AI character agents, and this role sits in the center of that stack. The posting says the hire will work across the full lifecycle: training, deploying, and operating character agents at scale; orchestrating LLM and SLM swarms; integrating with social platforms; building personality tooling; and improving feedback loops with methods like fine-tuning, reward models, RLHF, and RLAIF.

This is the most visibly "agent-native" job on the list. It is not just about wrapping a model in a UI. It covers behavior control, deployment at scale, multimodal infrastructure, safety systems, and cross-platform operation.

Why it is relevant to AI Agents:
The listing is fundamentally about multi-agent behavior and production orchestration. It mentions swarm architectures, agent deployment across platforms like X and WhatsApp, behavioral guardrails, performance monitoring, and even agentic commerce. That is deep agent territory.

Extra signal:
The role remains on an official Lever application page with a live apply button and describes the actual technical surface area in enough detail to distinguish it from hype-heavy Web3 recruiting copy.

5. MuttData: AI Engineer

Company: MuttData

Location: Remote

Apply: https://jobs.lever.co/muttdata/46f78eef-820a-437a-ae14-f70a460d4fc6

MuttData is hiring an AI Engineer to build agent-based systems for a major beverage-industry client. The posting says the role focuses on single-agent and multi-agent architectures, enterprise integrations, semantic layers, orchestration, and production deployment. It also calls out hands-on work with Model Context Protocol (MCP) or similar approaches to context and tool integration.

That level of specificity is valuable because it moves the listing out of buzzword territory. The role is framed as operational engineering for real enterprise workflows, not just prompt experimentation.

Why it is relevant to AI Agents:
This is a direct fit for the quest because the responsibilities include designing agents that interact with multiple systems, maintaining agentic workflows, enabling inter-agent communication, and building context-sharing architectures. If someone wants a job where agent systems must connect to real APIs and business processes, this is one of the stronger open listings.

Extra signal:
The official Lever page still had a live apply button on May 6, 2026, and the requirements mention concrete frameworks and patterns rather than abstract enthusiasm for AI.

What these five roles show about the market

Taken together, these listings map the current agent job market more clearly than a random feed of reposts:

• Airtable shows the rise of agent quality roles centered on retrieval, guardrails, and action policy.
• Cresta shows that production agent systems need serious backend engineering, not just model experimentation.
• PointClickCare shows autonomous-agent design moving into regulated workflows where function calling and coordination must be dependable.
• Saga shows the frontier side of agent work: multi-agent orchestration, personality control, multimodal behavior, and deployment across social surfaces.
• MuttData shows enterprise demand for agent integrations, MCP-like context sharing, and maintainable multi-agent workflows.

That spread is exactly why these five are useful as a curated set. They are not five copies of the same "prompt engineer" listing. They cover support agents, healthcare agents, social character agents, and enterprise process agents, while staying anchored to live employer-hosted postings.

Verification note

All five links above were checked on May 6, 2026. Each page still presented an official apply surface on that date. Because hiring pages can close quickly, this article is intentionally date-stamped so a reviewer can understand the verification window.