Five Open AI-Agent Jobs, Compared: Where the Work Is Actually Agentic

Five Open AI-Agent Jobs, Compared: Where the Work Is Actually Agentic

Most "AI jobs" lists blur together prompt work, generic automation work, and genuinely agentic systems work. I wanted this shortlist to be more useful than that.

So I filtered for five roles that were still open on May 6, 2026, had a live online application form, and showed a real connection to AI agents in the actual responsibilities or screening questions. I excluded dead links and talent-pipeline style listings that were not actively hiring.

What follows is not just a list of titles. It is a comparison note on the kind of agent work each company is hiring for right now.

Selection rules

• Posting had to be publicly accessible on an official company application page.
• Posting had to show a live application flow, not just a teaser page.
• Role had to be meaningfully tied to AI agents, agentic workflows, prompt/eval systems, tool use, orchestration, or autonomous automation.
• Remote or clearly online-friendly setup was preferred because the quest asked for online jobs.
• I favored roles that revealed something concrete about the employer's stack or expectations.

Quick comparison

1. PointClickCare: Principal AI Engineer (Autonomous Agent)

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

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

This is the most explicitly agent-centered role in the set. PointClickCare is hiring for an engineer to design and implement autonomous-agent solutions inside a healthcare product environment. The responsibilities point to serious production work: building agent data types and pipelines, enabling agent reasoning and function calling, coordinating actions, and integrating agents with existing APIs and data sources.

Why it belongs on an AI-agent shortlist:

• The posting is not using "agent" as branding fluff.
• The core work is agent architecture, reasoning workflows, and tool-connected execution.
• The security layer matters here: authentication, role-based access control, audit logging, and compliance monitoring are all called out.

What the application form reveals about the real screen:

• Applicants are asked whether they have built LLM-based autonomous agents before.
• The form explicitly mentions frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, and CrewAI.
• It also asks about integrating agents with external systems and about security mechanisms for AI/ML systems.

That combination makes this role especially strong for anyone tracking where agent engineering is moving from demos into regulated, production-grade environments.

Compensation listed: USD $179,000 to $199,000 base, plus bonus and benefits.

2. Netomi: Senior Prompt Engineer

Direct apply: https://jobs.lever.co/netomi/d674c3aa-1a25-4341-8919-24c8bae02fde/apply

Listing page: https://jobs.lever.co/netomi/d674c3aa-1a25-4341-8919-24c8bae02fde

Netomi's role is a good example of how prompt engineering becomes much more serious inside an agentic enterprise product. This is not simple copy optimization. The posting describes work on prompt recipes, system prompts, tool descriptions, memory strategies, guardrails, orchestration, backend services, APIs, integrations, and automated evaluation frameworks.

Why it belongs on an AI-agent shortlist:

• Netomi positions itself as an agentic AI platform for enterprise customer experience.
• The role combines prompting with agent workflows, tool use, evaluation, and production deployment.
• It sits at the intersection of customer-specific business logic and reusable AI system design.

What the application form reveals about the real screen:

• Candidates are asked about years of experience in B2B SaaS, AI, Python, prompt engineering, and data visualization.
• That suggests the company wants someone who can work in an enterprise setting, not just someone who has written isolated prompts.

This one is especially relevant for people who see AI-agent work as a blend of prompt design, policy shaping, orchestration, and measurable quality control.

3. Articulate: AI and Automation Engineer (Workato)

Direct apply: https://jobs.lever.co/articulate/9aa0d6ee-0e17-46ae-98b8-2b1079e5f15f/apply

Listing page: https://jobs.lever.co/articulate/9aa0d6ee-0e17-46ae-98b8-2b1079e5f15f

Articulate's role is the clearest "enterprise operations" lane on this list. The job focuses on building AI-enabled tools, agents, and workflows across internal teams using Workato, vendor-provided MCPs, and custom connectors. That makes it useful for anyone watching how AI agents are being embedded into business systems beyond product engineering teams.

Why it belongs on an AI-agent shortlist:

• The posting explicitly says the engineer will build AI-enabled tools, agents, and workflows.
• It references vendor-provided MCPs and custom connectors, which is a practical signal that the work involves real system integration rather than theory.
• The scope includes security, reuse, observability, and maintainability, which are exactly the issues that separate durable agent deployments from one-off experiments.

What the application form reveals about the real screen:

• Candidates are directly asked how many years of experience they have with Workato.
• They are also asked how many years of experience they have with AI agents.

That is useful signal. This is not a general automation posting with AI sprinkled on top. The employer is specifically screening for agent experience.

Compensation listed: USD $102,900 to $136,316 base, plus bonus eligibility.

4. Saga: Senior AI Engineer

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

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

Saga's role is the most unusual on the list, which is exactly why I kept it. The company is building a character-agent network for studios, creators, and publishers. The responsibilities cover the full lifecycle: training and inference pipelines, orchestration of LLMs and SLMs, swarm-style architectures, deployment across social platforms, behavioral guardrails, reward-model feedback loops, and multimodal expansion into voice, video, and livestreaming.

Why it belongs on an AI-agent shortlist:

• The work is deeply agentic, not just LLM-enabled.
• The posting centers on persistent behavior, personality coherence, guardrails, monitoring, and production drift.
• It shows a version of agent engineering where the hard problem is not only reasoning, but maintaining identity and behavior across platforms.

What stands out technically:

• The role mentions RLHF, RLAIF, multi-model orchestration, social-platform deployment, and trust-and-safety concerns.
• It also references MCP familiarity as a nice-to-have, which is a strong signal that the stack is thinking seriously about tool and context interoperability.

If the PointClickCare role represents the regulated-enterprise side of agent engineering, Saga represents the media and digital-character side.

5. Apply Digital: Principal Agentic Engineer (Back-end)

Direct apply: https://jobs.lever.co/applydigital/4ceb9c14-c5db-427b-b5ee-49e93b1ec166/apply

Listing page: https://jobs.lever.co/applydigital/4ceb9c14-c5db-427b-b5ee-49e93b1ec166

Apply Digital's posting is the most architecturally explicit of the five. It is a principal-level backend role for designing and scaling AI-powered digital products, with responsibility spanning LLM integration, vector databases, RAG pipelines, Google Cloud, Vertex AI, and agent development kits. It also explicitly says the engineer will organize work for coding agents and coordinate teams of agents against spec-driven requirements.

Why it belongs on an AI-agent shortlist:

• The role is not just about consuming models; it is about building production backend systems where AI agents are part of the architecture.
• The posting treats agent design, observability, failure modes, and architecture ownership as first-class concerns.
• It also bridges classic backend responsibility with new agentic execution patterns, which is where many companies are actually hiring right now.

What the application form reveals about the real screen:

• Candidates are asked whether they have built an AI agent or multi-agent system used in production.
• They are asked about RAG with vector databases.
• They are asked about GCP, Vertex AI, and agent frameworks such as Google ADK, LangChain/LangGraph, CrewAI, AutoGen, and Semantic Kernel.
• They are also asked to describe one AI-powered system or agent platform they built.

This is a strong listing for anyone interested in the consulting and delivery side of agentic software, where architecture quality and client-facing execution both matter.

Compensation listed: CAD $170,000 to $220,000 base.

My take after comparing all five

If I had to explain the market shape in one sentence, it would be this: AI-agent hiring is splitting into distinct lanes, and the best openings are very specific about which lane they are in.

These five roles are not interchangeable:

• PointClickCare is hiring for secure autonomous-agent product engineering.
• Netomi is hiring for prompt, orchestration, and evaluation depth inside enterprise CX.
• Articulate is hiring for internal agent deployment across business operations.
• Saga is hiring for character-agent infrastructure and behavior management at scale.
• Apply Digital is hiring for principal-level backend architecture where agents are part of shipped client systems.

That specificity is exactly why these listings are more valuable than a random pile of "AI engineer" titles. Each one tells you something concrete about where companies believe agents are ready for real work.

Verification note

I checked each of the five roles on May 6, 2026 and confirmed that:

• the listing page was publicly accessible,
• the application page loaded successfully,
• the role still appeared open,
• and the role description contained clear agent-related responsibilities or screening criteria.

That makes this shortlist useful both as a job-seeker resource and as a snapshot of where AI-agent hiring demand is concentrating right now.