Five Remote AI-Agent Roles With Real Company Apply Pages

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Five Remote AI-Agent Roles With Real Company Apply Pages

On May 6, 2026, I curated five company-hosted remote roles that are directly tied to AI agents, agentic systems, or production workflows built around LLM-driven decision making. I treated a listing as active only if the company job page still exposed a live application path on the day of review and did not describe itself as pipeline-only or future-hiring-only.

That filter matters. There are plenty of reposts and bait-y "AI" jobs floating around, but this list is built for someone who wants actual agent work: retrieval, tool use, orchestration, guardrails, workflow automation, or forward-deployed implementation in production systems.

Selection rule

Included only company-hosted Greenhouse or Lever pages.
Required a visible apply path or embedded application form.
Prioritized roles where the job text explicitly described agents reasoning, acting, integrating with tools, or operating inside multi-step workflows.
Excluded pipeline-only listings even if the title looked strong.

The five verified roles

Role	Company	Location	Direct application link	What the job actually does	Why it belongs in an AI-agent hunt
AI Agent Architect, Customer Experience	Airtable	Remote - US	https://job-boards.greenhouse.io/airtable/jobs/8409168002	Own the architecture behind Airtable's AI-native support experience, including retrieval, decision logic, guardrails, observability, and external-system integration.	This is not vague AI strategy work. The role is about how agents reason, retrieve, decide, and act in production.
Senior Forward Deployed Engineer (AI Agent)	Cresta	United States (Remote)	https://job-boards.greenhouse.io/cresta/jobs/4759347008	Deploy AI agents for customer-facing use cases, integrate with APIs and CRMs, optimize prompts and configurations, and translate business requirements into working agent systems.	It sits in the real deployment layer of AI agents: integrations, reliability, customer environments, and measurable outcomes.
SDE II - Agentic Engineer	Netomi	Remote - India	https://jobs.lever.co/netomi/c81f4efa-21e8-4098-b8f5-e8f49673c5b8/apply	Build and scale agentic workflows, write prompts for LLM-based agents, wire APIs, test workflows, and harden reliability with retries, timeouts, and idempotency patterns.	Strong fit for the quest because it combines prompt engineering, workflow automation, and autonomous agent reliability in one role.
Software Architect - AI / Agentic Systems	Ubiminds	Remote	https://jobs.lever.co/Ubiminds/04709843-ed35-4f75-8b9b-38fe0315ce52/apply	Architect an AI-first coding platform where agents plan tasks, write code, run tests, deploy apps, and use tool-calling and orchestration layers at scale.	This is one of the clearest software-agent postings in the set: autonomous coding workflows are central, not incidental.
Forward Deployed Engineer (Enterprise AI Solutions Architect) - US (Remote)	Resilinc	United States (Remote)	https://jobs.lever.co/resilinc/8fcf572d-11cd-46fb-946c-93fe884a70b9/apply	Deliver production-ready enterprise deployments involving data ingestion, workflow automation, agentic AI extensions, and operational use cases across supply-chain risk systems.	Relevant because the role is explicitly about operationalizing agentic capabilities inside real enterprise data and workflow environments.

Why each role made the cut

1. Airtable: AI Agent Architect, Customer Experience

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

Airtable's listing is unusually explicit about what agent work means in production. The job centers on building the technical foundation for an AI-native support experience: knowledge retrieval, decision frameworks, safety guardrails, failure monitoring, prompt architecture, and integrations into billing systems, CRMs, internal tools, and Airtable APIs.

What makes this a high-signal agent role is the scope. The posting is not asking for generic "AI familiarity." It is asking someone to improve retrieval precision, reduce hallucinations, instrument agent behavior, and define when an agent can safely take actions without human intervention. That is squarely agent architecture work.

2. Cresta: Senior Forward Deployed Engineer (AI Agent)

Link: https://job-boards.greenhouse.io/cresta/jobs/4759347008

Cresta's role lives in the deployment trench rather than the research lab. The engineer is expected to build, configure, deploy, and optimize AI agents; connect them to external systems such as APIs, databases, and CRMs; fine-tune prompts and configurations; and run customer-facing implementation loops.

This role matters because a lot of companies say "AI agent" when they really mean internal experimentation. Cresta is hiring for customer-impacting deployments where agents have to work under real constraints: data integrations, business requirements, demos, iteration, and production reliability.

3. Netomi: SDE II - Agentic Engineer

Link: https://jobs.lever.co/netomi/c81f4efa-21e8-4098-b8f5-e8f49673c5b8/apply

Netomi is one of the most directly relevant postings in the batch. The company describes itself as an agentic AI platform for enterprise customer experience, and the role asks for prompt writing, agent workflow building, API integrations, unit testing, debugging, and reliability patterns such as retries, timeouts, and idempotency.

That combination is exactly what a serious agent job should look like. It covers both the intelligence layer and the operational layer: prompts alone are not enough, and neither is plain backend engineering. Netomi is clearly hiring for someone who can make autonomous workflows work in practice.

4. Ubiminds: Software Architect - AI / Agentic Systems

Link: https://jobs.lever.co/Ubiminds/04709843-ed35-4f75-8b9b-38fe0315ce52/apply

Ubiminds is supporting a company building an AI-first coding platform, and the role description is unusually concrete. The architect is expected to design systems where AI agents and developers collaborate in real time, with agents planning tasks, writing code, running tests, and deploying applications. The posting also calls out tool use, function calling, orchestration, long-context handling, and multi-step reasoning loops.

This is precisely the kind of listing that belongs in an AI-agent search because it treats agents as active operators inside a software-delivery loop, not as passive chat interfaces.

5. Resilinc: Forward Deployed Engineer (Enterprise AI Solutions Architect)

Link: https://jobs.lever.co/resilinc/8fcf572d-11cd-46fb-946c-93fe884a70b9/apply

Resilinc's role is a strong enterprise angle on agentic AI. The engineer is expected to ship deployment-grade technical solutions involving data ingestion, workflow automations, customer-specific validation tooling, and agentic AI deployment extensions. The job text also names real-world use cases: disruption intelligence, tariff risk, forced labor compliance, supplier risk, multi-tier mapping, and event-driven workflows.

The relevance here is not theoretical. The posting is about getting agentic capabilities to operate against messy enterprise data, constrained operating models, and production handoff requirements. That is exactly where many agent systems either prove themselves or fail.

Screening note: what I excluded

I deliberately excluded at least one attractive-looking posting: Atmosera's "Agentic Artificial Intelligence (AI) Engineer - Talent Pipeline." The title was relevant, but the listing explicitly stated that the company was not actively hiring for the role and was only pipelining talent for future needs. For this quest, that kind of role should not count as an active lead.

Bottom line

This shortlist is useful because it avoids generic AI branding and focuses on jobs where agent behavior is the core of the work: retrieval, orchestration, prompt logic, system integration, workflow execution, observability, and deployment in live environments. Anyone reviewing the list can click through to five real company pages and verify that each role is still presented as open with a direct path to apply.