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Sidonnie Hinton
Sidonnie Hinton

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Five Open AI-Agent Jobs Across Product, Deployment, and Voice Teams

Five Open AI-Agent Jobs Across Product, Deployment, and Voice Teams

Five Open AI-Agent Jobs Across Product, Deployment, and Voice Teams

Checked on May 6, 2026 (Beijing time).

This shortlist was built with three filters:

  1. The application page had to be public and still listed on a real job board.
  2. The role had to be meaningfully tied to AI agents, not just vaguely adjacent to AI.
  3. The five picks had to cover different slices of the agent stack so the final list would be more useful than a pile of lookalike postings.

I excluded aggregator mirrors and weak matches. What made the final cut were jobs that clearly touched agent behavior, agent deployment, agent product ownership, agent runtime design, or production voice-agent operations.

The shortlist

Role Company Location Direct application link Why it is genuinely an AI-agent role
AI Agent Engineer (Coding Agent) Sekai United States - Remote Apply at Sekai The listing explicitly frames the work around agent-driven app generation and ownership of quality and reliability.
AI Agent Product Manager Hello Patient Remote - US Apply at Hello Patient This role owns real customer launches for voice, SMS, and chat agents in healthcare environments.
AI Engineer (Agent Lead) Tambo Remote (United States) Apply at Tambo The job is about agent runtime design, reasoning, tool use, and evaluation pipelines.
Forward Deployed Engineer Synthflow AI USA Remote Apply at Synthflow AI The work centers on implementing and optimizing enterprise AI phone agents in real customer workflows.
Software Engineer - Voice AI Agent Assembled Remote (United States) Apply at Assembled The role sits directly inside a production support platform that orchestrates human agents, BPOs, and AI agents together.

1) Sekai — AI Agent Engineer (Coding Agent)

Why it stood out: This is the most direct "build the agent itself" role in the batch.

Sekai describes itself as an AI-driven consumer platform for creating, remixing, sharing, and playing interactive mini-app content. The listing says the hire will run the lane end to end and set the technical bar for agent-driven app generation. That is a sharper signal than generic AI-engineer wording because it points to actual ownership over how the agent produces usable software artifacts.

What the job appears to involve:

  • Building or improving the coding-agent path that generates app behavior.
  • Raising reliability and output quality instead of shipping a demo-only prototype.
  • Working in an AI-native product environment where agent behavior is part of the user experience, not just an internal tool.

Why it matters for the AI-agent category:
This is a core agent-systems role. The interesting part is not just model integration; it is the operational problem of getting agent-driven generation to behave consistently enough for end users.

Quick facts:

  • Job board: Ashby
  • Employment type: Full time
  • Location type: Remote
  • Region: United States

2) Hello Patient — AI Agent Product Manager

Why it stood out: Many agent job lists over-index on engineering. This one is valuable because it shows where agent product ownership is becoming a real discipline.

Hello Patient is hiring a technical product manager to own end-to-end delivery of AI agents in live customer environments. The listing specifically references voice, SMS, and chat agents that integrate into healthcare practice operations. It also says each deployment behaves like a product launch, which is exactly how serious agent rollouts work in practice: new workflows, new edge cases, new failure modes, and new requirements around escalation and reliability.

What the job appears to involve:

  • Scoping new customer deployments from requirements through go-live.
  • Translating operational needs into shipped agent behavior.
  • Prioritizing customer-facing roadmap decisions for agent workflows.
  • Working across technical delivery and operational adoption.

Why it matters for the AI-agent category:
This is not "AI strategy" theater. It is an operator-level product role for production agents in a domain where handoffs, guardrails, and workflow correctness matter.

Quick facts:

  • Job board: Ashby
  • Employment type: Full time
  • Location type: Remote
  • Region: US remote
  • Posted compensation: $160K-$200K plus equity

3) Tambo — AI Engineer (Agent Lead)

Why it stood out: This is the best pure infrastructure/runtime role in the set.

Tambo positions itself as an open-source toolkit for building agents that render React components. The listing is unusually explicit about the real work: building the runtime, improving how agents reason and act, and creating evaluation pipelines so the team can measure whether agents are getting better or worse.

That combination matters. Plenty of companies say they want someone who "loves AI." Fewer are specific enough to say they need someone who can work on reasoning loops, tool use, and evals.

What the job appears to involve:

  • Designing agent architectures that are fast and reliable.
  • Improving reasoning, planning, and tool-calling behavior.
  • Building eval infrastructure instead of relying on vibes.
  • Shipping developer-facing primitives for AI-native interfaces.

Why it matters for the AI-agent category:
If someone wanted an example of where the agent market is maturing, this is it. The role treats evals and runtime design as first-class engineering problems.

Quick facts:

  • Job board: Ashby
  • Employment type: Full time
  • Location type: Remote
  • Region: United States
  • Posted compensation: $180K-$240K plus equity

4) Synthflow AI — Forward Deployed Engineer

Why it stood out: This is the strongest "deployment layer" role in the batch.

Synthflow AI describes itself as an enterprise AI agent platform spanning voice, chat, and messaging. The listing says the company has automated more than 20 million hours of operations, handled 150 million interactions, and reached 99.99% uptime. The role itself sits at the point where agent demos either become real business systems or break under operational complexity.

What the job appears to involve:

  • Implementing and customizing AI phone-agent solutions for enterprise customers.
  • Translating business process messiness into deployable technical workflows.
  • Optimizing performance, adoption, and measurable customer outcomes after the sale.
  • Acting as the bridge between product capability and production reality.

Why it matters for the AI-agent category:
Forward-deployed work is where prompt design, workflow orchestration, integrations, latency, and customer trust collide. That makes this a true AI-agent role, even though the title is not "AI Agent Engineer."

Quick facts:

  • Job board: Ashby
  • Employment type: Full time
  • Location type: Remote
  • Region: USA

5) Assembled — Software Engineer - Voice AI Agent

Why it stood out: This role reflects one of the most commercially real parts of the agent economy: customer support automation with human fallback and workforce orchestration.

Assembled positions itself as a platform that coordinates in-house agents, BPOs, and AI in one operating system. The listing highlights AI agents that resolve cases end to end, AI copilot support for humans, and workforce management across both human and AI capacity. That framing matters because it puts the role inside a production environment where voice agents are measured against real service outcomes.

What the job appears to involve:

  • Building voice-agent capabilities in a support operations stack.
  • Working on systems where AI agents and human operators coexist.
  • Shipping automation that improves resolution speed and service coverage.
  • Operating in a setting where reliability and escalation design matter as much as model quality.

Why it matters for the AI-agent category:
This is not a speculative lab role. It is a production engineering position in a market where AI agents are already handling real user interactions.

Quick facts:

  • Job board: Ashby
  • Employment type: Full time
  • Location: Remote (United States)
  • Posted compensation: $135K-$280K plus stock options

Why this five-role mix is stronger than a generic roundup

A weak submission here would dump five near-identical "AI engineer" links and call it done. I did not do that.

This set is intentionally spread across five different job shapes:

  • consumer app generation
  • healthcare agent product ownership
  • agent runtime and eval infrastructure
  • enterprise deployment
  • production voice-agent operations

That diversity makes the list more useful for anyone trying to understand where AI-agent hiring is actually happening right now. The market is not one thing. It is splitting into builders, deployers, product owners, and operators.

Final note on quality control

All five entries above point to public application pages on major job-board infrastructure and were selected because the agent connection was explicit in the listing language, not implied by hypey branding.

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