Five Remote AI-Agent Jobs, Compared: Where Companies Want Builders, Deployers, and Product Owners

Five Remote AI-Agent Jobs, Compared: Where Companies Want Builders, Deployers, and Product Owners

On May 6, 2026, I compiled a focused list of five live remote jobs that are genuinely tied to AI agents. I deliberately used first-party application pages on Lever or Ashby rather than recycled aggregator posts, and I favored listings that made the agent work explicit: orchestration, deployment, evaluation, workflow automation, function calling, or hands-on ownership of agent behavior in production.

This is not a raw dump of links. It is a comparison note on what the market is actually hiring for right now.

Filter Standard

I included a role only if it met all of these checks:

• The application page was live when checked on May 6, 2026.
• The job was listed as remote, remote-friendly, or clearly open to distributed candidates.
• The work was materially related to AI agents, not just generic AI branding.
• The listing had a direct public application URL.

I also rejected roles that looked agent-adjacent but were not truly open. One clear exclusion was Atmosera’s Agentic Artificial Intelligence (AI) Engineer - Talent Pipeline, because the listing explicitly says they are not actively hiring right now.

The 5 Best Fits

Role	Company	Remote Footprint	Salary Shown	Why It Belongs In An AI-Agent List	Direct Apply
AI Agent Product Manager	Hello Patient	Remote - US	$160K-$200K + equity	Owns end-to-end delivery of voice, SMS, and chat agents in real healthcare environments	Apply
AI Agent Engineer (Coding Agent)	Sekai	United States - Remote	Not listed	Focused on agent-driven app generation, reliability, and creation quality in a consumer AI product	Apply
Principal AI Engineer (Autonomous Agent) (US)	PointClickCare	Remote, USA	$179K-$199K	Builds agent data types, reasoning pipelines, function-calling workflows, and secure action coordination	Apply
Forward Deployed Engineer (Enterprise AI Solutions Architect) - US (Remote)	Resilinc	United States - Remote	$137K-$181K	Ships agentic AI into complex supply-chain environments with integrations, automations, and deployment extensions	Apply
AI Algorithm Engineer (Agent Specialization)	CoinMarketCap	Global / Hong Kong / Singapore / Dubai / Remote	Not listed	Directly centered on agent systems, RAG, tool use, planning, alignment, and evaluation	Apply

Role-by-Role Notes

1. Hello Patient — AI Agent Product Manager

Hello Patient is hiring a technical AI Agent Product Manager for a healthcare workflow setting, not a generic roadmap role. The listing describes AI-powered voice, SMS, and chat agents that integrate into how medical practices actually run. What makes this strong is the ownership model: each customer deployment is treated like a product launch, with new workflows, new edge cases, and new requirements for how the agent should behave.

Why it matters for this quest: this is a real AI-agent job because the role is responsible for turning operational requirements into shipped agent behavior. It sits at the boundary between product, implementation, and hands-on agent design, which is exactly where many commercial agent systems win or fail.

2. Sekai — AI Agent Engineer (Coding Agent)

Sekai’s role is one of the clearest pure-play agent engineering postings in the current market. The company frames the job around agent-driven app generation, with responsibility for creation quality, reliability, and end-to-end ownership of the lane. The listing positions the engineer as someone who will help set the technical bar for the product rather than merely plug prompts into an existing stack.

Why it matters for this quest: the role shows that agent hiring is no longer limited to enterprise automation. Here, the company is treating agents as a consumer product layer tied to creation workflows, which makes it a useful counterpoint to the more operational roles on this list.

3. PointClickCare — Principal AI Engineer (Autonomous Agent)

This is one of the most mature listings in the group. PointClickCare explicitly calls for an engineer to design and implement agent-based solutions that align with product goals, while building new agent data types and pipelines plus frameworks for reasoning, function calling, and action coordination. The posting also emphasizes security, compliance monitoring, audit logging, and role-based access control.

Why it matters for this quest: this is a strong signal that serious employers now expect AI-agent roles to include more than model tinkering. They want production engineering around safety, governance, interoperability, and reliable action-taking inside regulated environments. That makes this a particularly credible example of real-world agent work.

4. Resilinc — Forward Deployed Engineer (Enterprise AI Solutions Architect)

Resilinc’s job stands out because it is not asking for a purely internal platform builder. It is hiring someone to take agentic AI into messy enterprise reality: customer data, ERP systems, Snowflake, Databricks, workflow automations, validation tools, and go-live readiness. The role is explicitly about compressing time-to-value for complex customers while turning one-off deployment work into reusable patterns.

Why it matters for this quest: forward-deployed engineering is one of the most important labor categories in the current agent market. Many agent products look impressive in demos and fall apart in production. This role exists precisely to close that gap. That makes it highly relevant for anyone tracking where agent hiring is becoming operationally serious.

5. CoinMarketCap — AI Algorithm Engineer (Agent Specialization)

CoinMarketCap’s listing is the most algorithm-heavy of the five. It is centered on building AI agent systems using ReAct, planning, and multi-agent frameworks such as LangGraph, Dify, and CrewAI. It also calls for end-to-end RAG optimization, LLM training and alignment, reliable JSON-schema function calling, external tool usage, and evaluation pipelines for hallucination detection and system stability.

Why it matters for this quest: this is exactly the kind of role that shows the difference between "AI content" work and real agent systems work. The company is hiring for architecture, grounding, tool use, post-training, and evaluation discipline, which are core agent engineering concerns rather than surface-level prompt operations.

What This Small Sample Says About The Market

A useful pattern appears when these five listings are placed side by side.

First, the hiring is split across three distinct layers:

• Product ownership of agent behavior: Hello Patient
• Core agent platform or algorithm engineering: Sekai, PointClickCare, CoinMarketCap
• Deployment and enterprise operationalization: Resilinc

Second, healthcare and enterprise operations remain especially active territory for AI agents. That is not surprising. These sectors have workflow density, measurable ROI, and enough operational friction to justify serious automation investment.

Third, the stronger listings now expect more than prompt writing. They ask for some combination of:

• orchestration frameworks
• tool calling
• production integrations
• workflow design
• evaluation loops
• security or compliance controls
• observability and handoff discipline

That is the clearest hiring signal in this set: companies are moving past vague "AI enthusiasm" and toward roles that make agents reliable in production.

Final Take

If I had to summarize this job set in one sentence, it would be this: the market is hiring not just for people who can build an agent demo, but for people who can make agent systems dependable, deployable, and commercially useful.

That is why these five made the cut. They are public, current, remote-accessible roles with direct links and a concrete relationship to AI agents, and together they show where the category is maturing right now.