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Assistant Ai Agent Jobs (NOW HIRING)

Hello Patient

AI Agent Product Manager

New York, NY · On-site

$110K - $160K/yr

About the Role Hello Patient is hiring a technical, high-agency AI Agent Product Manager to own the ... Portfolio or examples of shipped conversational experiences (IVR, voice assistants, chatbots, SMS ...

Hello Patient

AI Agent Product Manager

Austin, TX · On-site

$110K - $160K/yr

About the Role Hello Patient is hiring a technical, high-agency AI Agent Product Manager to own the ... Portfolio or examples of shipped conversational experiences (IVR, voice assistants, chatbots, SMS ...

Liberate

AI Agent Engineer

Boston, MA · On-site

$120K - $170K/yr

We are seeking an AI Agent Engineer to bridge the gap between our cutting-edge products and our ... our solutions. * Assist in the implementation process by providing technical guidance ...

Liberate

AI Agent Engineer

San Francisco, CA · Hybrid

$120K - $190K/yr

We are seeking an AI Agent Engineer to bridge the gap between our cutting-edge products and our ... our solutions. * Assist in the implementation process by providing technical guidance ...

Liberate

AI Agent Engineer

Boston, MA · Hybrid

$120K - $170K/yr

We are seeking an AI Agent Engineer to bridge the gap between our cutting-edge products and our ... our solutions. * Assist in the implementation process by providing technical guidance ...

ImmunityBio

Software Engineer, AI

Culver City, CA

Collaborate with and learn from senior engineers; may occasionally assist less experienced engineers through code reviews and pairing on troubleshooting AI agent and service-related issues. * Follow ...

Liberate

AI Agent Engineer

San Francisco, CA · On-site

$120K - $190K/yr

We are seeking an AI Agent Engineer to bridge the gap between our cutting-edge products and our ... our solutions. * Assist in the implementation process by providing technical guidance ...

Airtable

AI Agent Architect, Customer Experience

Own Agent retrieval accuracy and relevance . Architect the knowledge systems that enable AI agents ... assist you. Airtable is committed to participating in the interactive process and providing ...

ImmunityBio, Inc.

Software Engineer, AI

Collaborate with and learn from senior engineers; may occasionally assist less experienced engineers through code reviews and pairing on troubleshooting AI agent and service-related issues. * Follow ...

ImmunityBio, Inc.

Senior Software Engineer, AI

$125K - $165K/yr

... * Assist with the planning and implementation of AI agent-based projects and solutions in collaboration with cross-functional teams, including determination and delivery on cost, timeline, and ...

ImmunityBio

Senior Software Engineer, AI

Culver City, CA

$133K - $176K/yr

... * Assist with the planning and implementation of AI agent-based projects and solutions in collaboration with cross-functional teams, including determination and delivery on cost, timeline, and ...

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How much do assistant ai agent jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for assistant ai agent in the United States is $20.34, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.08 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Assistant AI Agent, and why are they important?

To thrive as an Assistant AI Agent, you need strong analytical thinking, natural language understanding, and a background in computer science, data science, or a related field. Familiarity with AI tools, machine learning frameworks, and conversational platforms such as Python, TensorFlow, or Dialogflow is typically required. Excellent communication skills, problem-solving abilities, and adaptability help an AI Agent provide effective support and improve user interactions. These skills ensure the agent can interpret user needs accurately, deliver reliable assistance, and continuously enhance its performance.

What is the difference between Assistant Ai Agent vs Customer Support Specialist?

AspectAssistant Ai AgentCustomer Support Specialist
Required CredentialsBasic technical knowledge, AI familiarityCustomer service training, communication skills
Work EnvironmentChatbots, AI platforms, digital interfacesCall centers, help desks, in-person or remote
Employer & Industry UsageTech companies, AI service providersRetail, telecom, service industries
Common Search & Comparison IntentUnderstanding AI roles, automation toolsCustomer service roles, support skills

The Assistant Ai Agent primarily focuses on interacting via AI-driven platforms, utilizing technical knowledge of AI systems. In contrast, Customer Support Specialists handle direct customer interactions, providing assistance through various communication channels. While both roles aim to improve customer experience, the Assistant Ai Agent emphasizes automation and AI technology, whereas Customer Support Specialists focus on human interaction and problem-solving.

What is an Assistant AI Agent?

An Assistant AI Agent is a computer program or software system designed to help users perform tasks, answer questions, or automate processes using artificial intelligence. These agents can interact with users through text, voice, or other interfaces, making tasks like scheduling, data retrieval, or customer support more efficient. Assistant AI Agents are commonly found in smartphones, smart speakers, websites, and business applications, where they can provide quick and accurate support. Their capabilities continue to grow as advancements in AI and machine learning improve their understanding and responsiveness.

What are some common challenges faced by Assistant AI Agents in supporting teams, and how can these be addressed?

Assistant AI Agents often encounter challenges such as managing high volumes of requests, adapting to evolving user needs, and ensuring accurate, context-aware responses. To address these, it’s important to continuously learn from real-time interactions, leverage feedback from team members, and stay updated on organizational processes. Collaborating closely with human colleagues and regularly reviewing performance can help improve the quality and relevance of assistance provided.
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Assistant Ai Agent jobs near you
Infographic showing various Assistant Ai Agent job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $42,312 per year, or $20.3 per hour.

AI Agent Product Manager

Hello Patient

New York, NY • On-site

$110K - $160K/yr

Full-time

Posted 5 days ago

Job description

About the Role
Hello Patient is hiring a technical, high-agency AI Agent Product Manager to own the end-to-end delivery of AI agents in real customer environments. We build AI-powered voice, sms, and chat agents that integrate deeply into how healthcare practices actually operate.
Every new customer deployment is a product launch-new workflows, new edge cases, new integration requirements, new ways the agent needs to behave in the real world. This role exists to own that launch from scoping through go-live. You'll also own the customer-facing roadmap for each deployment-defining requirements, sequencing what gets built, and aligning stakeholders on tradeoffs.
This role combines product ownership with hands-on agent building - translating requirements into shipped agent behavior. You'll gather requirements directly from customers, translate them into agent logic and workflows, and implement that behavior hands-on using prompts, guardrails, tools, and evals.
You'll design Mia's behavior, ship production-ready multi-agent workflows, and turn real-world healthcare complexity into systems that actually hold up on live calls. This is a rare seat: you'll get direct exposure to frontier LLM failure modes in production, and you'll continuously iterate on agent performance using structured evaluation, testing, and real customer feedback.
What You'll Do
Own customer deployments end-to-end
  • Lead delivery of net-new AI agent deployments as the single accountable owner-from customer requirements through production go-live
  • Treat every deployment as a product launch: define scope, manage tradeoffs, hit timelines, ensure quality
  • Own the customer-facing roadmap for each deployment-what are we shipping, in what order, and why
Build agents, not just specs
  • Gather requirements directly from customers and translate them into agent behavior yourself using our internal platform-prompts, tools, guardrails, multi-agent workflows
  • Do hands-on prompt engineering using AI tools to build the components that make agents work: conversation flows, decision logic, edge case handling, integration behaviors
  • Ship production-ready agents that handle real healthcare complexity: scheduling logic, patient context, EMR data, practice-specific edge cases
  • Continuously improve agent performance using structured evals, live call review, and direct customer feedback
Drive zero-to-one execution
  • Lead deployments for new workflows, integrations, and verticals where no playbook exists
  • Identify unknowns early, derisk them, and make tradeoff decisions that keep launches on track
  • When deployments require net-new platform capabilities, own requirements and prioritization with the engineering team
Work alongside Conversational Design and Customer Engineering
  • Conversational designers design and optimize agent behavior-they review real conversations, identify patterns, design conversation flows, and ship agent behavior
  • Customer engineers build integrations into our customers' systems of record-EHRs, PMS, and PIMS
  • You own everything else: integration scoping with Customer Engineering, cross-team coordination, timeline management, stakeholder communication, and unblocking whatever's in the way
Build toward repeatability
  • Identify patterns across launches and codify them into playbooks
  • Know when a workflow or integration is ready to transition from zero-to-one ownership to steady-state implementation
  • Hand off proven patterns to implementation teams and move on to the next net-new challenge
What We're Looking For
Must have
  • 1+ years in Product Management or a closely related role (e.g., technical program management at a product-led company, founder/early employee wearing the PM hat) or a technical background (software engineer / forward-deployed engineer) who has operated in a PM-like capacity
  • Strong technical product background-comfortable with APIs, integrations, and understanding how systems connect
  • Experience shipping in ambiguous, fast-moving environments where the playbook doesn't exist yet
  • Proven ability to work across functions through influence, not authority
  • Bias toward ownership and action-you'd rather make a call and course-correct than wait for clarity
Nice to have
  • Experience with AI-native products, agents, LLMs, or automation platforms including hands-on prompt/agent buildingBackground in healthcare, revenue cycle, or other legacy-system-heavy industries
  • You've spent time playing with bots - building them, breaking them, and tweaking conversations to make them feel more natural.
  • Founder, co-founder, or early startup experience
  • Familiarity with voice AI or real-time orchestration systems
  • Portfolio or examples of shipped conversational experiences (IVR, voice assistants, chatbots, SMS flows) and the rationale behind key design decisions
  • Familiarity with evaluation practices for agent quality
Compensation
Base salary: $110K-$160K
Equity: Meaningful ownership in a fast-growing healthtech startup
About Hello Patient
Hello Patient is transforming healthcare communication through advanced conversational AI. Our founding team spent 3.5 years scaling Carbon Health's technology during hypergrowth, where we saw firsthand how much clinical time gets wasted on basic communication-great clinicians buried in admin work, patients stuck in phone tag.
Our AI platform proactively engages patients through perfectly timed calls and texts, resolving complex interactions end-to-end-from scheduling to billing to retention. Built with security and compliance at its core, our technology integrates with existing healthcare infrastructure to deliver 24/7 patient engagement.
Backed by Scale and 8VC, we're building the future of healthcare communication, one conversation at a time.

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