DEV Community: Sidonnie Hinton

Five Open AI-Agent Roles That Show Where the Work Is Moving in 2026

Sidonnie Hinton — Wed, 06 May 2026 13:23:26 +0000

Five Open AI-Agent Roles That Show Where the Work Is Moving in 2026

A lot of job lists use "AI agent" loosely. This brief does not.

I checked official application pages on May 6, 2026 and kept only openings that were both live and clearly tied to agentic systems work, not just generic AI branding. I also prioritized official ATS pages over reposted social screenshots or third-party aggregators so every item below can be acted on directly.

Filter used

The application page was live on an official ATS page on May 6, 2026.
The role was remote or clearly online-compatible.
The posting explicitly described building, deploying, operating, or evaluating AI agents.
A direct application link is included for each role.

Why this list is structured as a technical brief

Instead of dumping five links in a row, I organized the roles by the layer of the AI-agent stack they actually represent. That makes the list more useful for someone trying to understand where companies are spending engineering effort right now.

1. Deployment layer: Cresta

Role: Senior Forward Deployed Engineer (AI Agent)

Company: Cresta

Location: United States (Remote)

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

Cresta is hiring for a role that sits close to production deployments rather than lab experimentation. The posting says the engineer will develop, configure, deploy, and optimize AI agents using Cresta's platform, while also integrating those agents with APIs, databases, CRMs, and other enterprise systems.

What makes this role genuinely agent-focused is the mix of responsibilities: prompt/config tuning, AI-agent deployment, customer requirements gathering, RAG and function-calling awareness, and hands-on work turning business workflows into real agent behavior. It is not a generic solutions engineer role with AI sprinkled on top; the job description repeatedly centers on AI agent systems.

A few concrete signals from the posting:

The role calls out deployment and optimization of AI agents as a core responsibility.
It explicitly references integration with external systems and enterprise workflows.
It prefers hands-on experience with agent frameworks, function calling, and retrieval-augmented generation.
The compensation band is published at $185,000-$235,000 base plus bonus and equity, which is another marker that this is a serious, production-grade role.

Why it belongs on this list: This is a clean example of the "agent deployment engineer" archetype: the person who makes agents work in messy, high-stakes customer environments.

2. Character and multimodal layer: Saga

Role: Senior AI Engineer

Company: Saga

Location: Remote

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

Saga's posting is one of the more unusual ones because it is not about generic copilots or enterprise automation. It is about building and operating character AI agents at scale for creators, studios, and publishers. The role description says the engineer will work across the full lifecycle of agent systems: fine-tuning models, orchestrating LLM and SLM swarms, deploying agents across social platforms, and building the supporting infrastructure.

The posting also references safety systems, behavior consistency, personality customization, multimodal capabilities, and production monitoring for behavioral drift. That is a strong signal that the company is hiring for agent operations in the wild, not just internal experimentation.

Concrete signals from the posting:

Training and inference pipelines for character AI agents are part of the core work.
The role mentions LLM/SLM orchestration and swarm-based architectures.
Saga expects deployment across Instagram, X, WhatsApp, and TikTok.
The job includes feedback loops such as fine-tuning, reward models, RLHF, and RLAIF.
It explicitly lists agent-to-agent or MCP-style protocol familiarity as a nice-to-have.

Why it belongs on this list: This is a high-signal agent role because it spans orchestration, behavior design, safety, multimodal delivery, and live platform deployment. It shows that some of the 2026 hiring market is moving toward persistent, personality-driven agents rather than single-turn assistants.

3. Enterprise workflow layer: PointClickCare

Role: Sr Application Engineer (Salesforce Agentforce AI)

Company: PointClickCare

Location: Remote, USA

Direct application: https://jobs.lever.co/pointclickcare/bbd3f37b-49db-4437-be62-eeb2a1e9ab1b

This posting is a useful counterweight to the more experimental roles because it shows how agent hiring is landing inside large enterprise application environments. PointClickCare wants someone with hands-on experience building Agentforce AI Agents, AI workflows, intelligent process automation, and external data integrations around Salesforce-centered systems.

The day-to-day work includes building agent-driven automations, test automations, and integrations across applications like Conga, Docusign, Adobe, Marketo, Gainsight, Gong, and Qualtrics. The role also expects the engineer to act as an internal AI change agent, helping the broader team adopt agent-based workflows to improve speed and efficiency.

Concrete signals from the posting:

The summary directly asks for experience in Agentforce, AI-agent development, and intelligent process automation.
The responsibilities include building AI agents using Agentforce and related platforms.
The qualifications explicitly require hands-on experience with Agentforce AI Agents, AI workflows, and integration of external data sources.
The compensation band is listed at $121,000-$135,000.

Why it belongs on this list: This is the clearest example here of agent work inside a mature enterprise stack. It is not frontier-model research; it is the operationalization of agents in systems that already run critical business processes.

4. Infrastructure layer: Yuno

Role: Senior Platform Engineer - AI Agent Infrastructure

Company: Yuno

Location: Remote across parts of LATAM and Europe

Direct application: https://jobs.lever.co/yuno/33309adb-efb0-414c-9e9a-da13435a0242

Yuno's posting is valuable because it treats AI agents as infrastructure that must be provisioned, deployed, observed, and scaled, not just prompted. The job description says Yuno already has a production platform that provisions, deploys, and manages AI agents on AWS, and now needs someone to own reliability and architectural evolution.

That framing matters. A lot of AI-agent discussions stay stuck at the prompt layer; this role is about the operational substrate underneath the agents. The posting emphasizes event-driven communication, durable messaging, observability, infrastructure automation, and readiness for scale.

Concrete signals from the posting:

The platform is described as already in production and growing.
The engineer is expected to design event-driven communication and improve streaming reliability.
The responsibilities include observability, tracing, alerting, and infrastructure ownership.
The qualifications call for deep familiarity with queues or messaging systems such as Kafka, NATS, RabbitMQ, plus AWS and database experience.

Why it belongs on this list: This role captures the platform-engineering side of AI agents. If Cresta represents deployment and PointClickCare represents workflow automation, Yuno represents the reliability spine underneath agent systems.

5. Core algorithm and evaluation layer: CoinMarketCap

Role: AI Algorithm Engineer (Agent Specialization)

Company: CoinMarketCap

Location: Global / Hong Kong / Singapore / Dubai, Remote

Direct application: https://jobs.lever.co/coinmarketcap/383cda00-baeb-4ee6-909a-d148651973a7

CoinMarketCap is hiring for a role that sits closest to the core algorithmic stack of agent systems. The posting says the company is building an advanced AI agent for Web3 and wants an engineer to architect agent systems, optimize end-to-end RAG pipelines, implement LLM training and alignment, and build evaluation loops.

This is one of the strongest postings in the set if the goal is to find explicitly agent-native engineering work. The responsibilities mention search and task-execution agents, planning, multi-agent frameworks, grounding and citation, post-training methods, and hallucination detection.

Concrete signals from the posting:

The role explicitly names ReAct, LangGraph, Dify, and CrewAI.
The work includes RAG ingestion, chunking, embeddings, hybrid search, and grounding.
It also includes SFT, RLHF, continual pretraining, and function-calling alignment.
Automated evaluation using synthetic QA, retrieval metrics, and hallucination detection is part of the job.

Why it belongs on this list: This is the purest "agent systems algorithm" opening in the set. It is about the machinery that makes agents reliable, grounded, and useful in production.

What these five roles say about the market

Taken together, these openings show that AI-agent hiring in 2026 is not concentrated in a single job shape.

It is splitting into at least five practical lanes:

Deployment and customer integration roles that make agents work inside real business workflows.
Behavioral and multimodal agent engineering roles that care about personality, safety, and persistent interaction.
Enterprise automation roles that embed agents inside systems like Salesforce and connected SaaS tools.
Infrastructure and reliability roles that treat agents as production services that need messaging, observability, and scaling discipline.
Core algorithm and evaluation roles that push on RAG, planning, multi-agent frameworks, and alignment quality.

That matters for applicants because "AI agent engineer" is no longer one job family. A strong application now depends on matching your background to the right layer of the stack.

Verification note

Each link above was checked on May 6, 2026 and resolved to a live official application page with an active apply flow. Hiring pages can change quickly, but at the time of review all five were current, public, and directly actionable.

If I had to summarize the week in one sentence: the market is no longer hiring for vague AI enthusiasm; it is hiring for people who can make agent systems dependable in specific environments.

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

Sidonnie Hinton — Wed, 06 May 2026 13:04:11 +0000

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:

The application page had to be public and still listed on a real job board.
The role had to be meaningfully tied to AI agents, not just vaguely adjacent to AI.
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.

DEV Community: Sidonnie Hinton

Five Open AI-Agent Roles That Show Where the Work Is Moving in 2026

Five Open AI-Agent Roles That Show Where the Work Is Moving in 2026

Five Open AI-Agent Roles That Show Where the Work Is Moving in 2026

Filter used

Why this list is structured as a technical brief

1. Deployment layer: Cresta

2. Character and multimodal layer: Saga

3. Enterprise workflow layer: PointClickCare

4. Infrastructure layer: Yuno

5. Core algorithm and evaluation layer: CoinMarketCap

What these five roles say about the market

Verification note

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

The shortlist

1) Sekai — AI Agent Engineer (Coding Agent)

2) Hello Patient — AI Agent Product Manager

3) Tambo — AI Engineer (Agent Lead)

4) Synthflow AI — Forward Deployed Engineer

5) Assembled — Software Engineer - Voice AI Agent

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

Final note on quality control

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