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Associate Ai Agent Developer Jobs in New York (NOW HIRING)

Hello Patient

AI Agent Product Manager

New York, NY · On-site

$110K - $160K/yr

Do hands-on prompt engineering using AI tools to build the components that make agents work ... Continuously improve agent performance using structured evals, live call review, and direct ...

Hex

Software Engineer, AI Agent

Manhattan, NY · On-site

$160 - $265/hr

At Hex we're deeply focused on building powerful, integrated AI features that augment and ... An aptitude for how web infrastructure works to develop high-quality internal developer and ...

Applied Labs

AI Agent Product Manager

New York, NY · On-site

$150K - $200K/yr

Build AI products from 0 → 1 As an AI Agent Product Manager at Applied Labs, you will work directly with engineers and customers to define, build, and launch AI-powered products that transform how ...

Amigo AI

AI Deployment Strategist [NYC or SF]

New York, NY · On-site

$150K - $200K/yr

Work closely with Agent Engineers and Solutions Architects to translate customer requirements into ... In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere ...

ImmunityBio

Software Engineer, AI

New York, NY

The Software Engineer - AI will contribute to AI agent development and collaborate with cross-functional teams on the implementation of production-grade AI systems. This role supports Engineering ...

Regal

AI Product Specialist

New York, NY · On-site

Build AI Agents on the Regal AI Agent Platform leveraging prompt engineering and conversational flows; tune AI agent settings (STT, LLM, TTS) to achieve the conversational quality that is Regal ...

Regal

AI Product Specialist

New York, NY

$90K - $120K/yr

Build AI Agents on the Regal AI Agent Platform leveraging prompt engineering and conversational flows; tune AI agent settings (STT, LLM, TTS) to achieve the conversational quality that is Regal ...

Hedge Fund

AI Infrastructure Engineer

Manhattan, NY · On-site

$150 - $230/hr

Expertise in building and supporting AI/ML infrastructure, agent-based systems, or AI-enhanced developer platforms. * Solid understanding of modern security architecture, including API security ...

2T Consulting

AI/LLM Engineer

Brooklyn, NY · On-site

Roles and Responsibilities Agent & AI System Development * Design and develop AI agent systems ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

New

2T Consulting

AI/LLM Engineer

Elmwood Park, NJ · On-site

Roles and Responsibilities Agent & AI System Development * Design and develop AI agent systems ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

New

2T Consulting

AI/LLM Engineer

North Arlington, NJ · On-site

Roles and Responsibilities Agent & AI System Development * Design and develop AI agent systems ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

New

2T Consulting

AI/LLM Engineer

Staten Island, NY · On-site

Roles and Responsibilities Agent & AI System Development * Design and develop AI agent systems ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

New

2T Consulting

AI/LLM Engineer

Nutley, NJ · On-site

Roles and Responsibilities Agent & AI System Development * Design and develop AI agent systems ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

New

2T Consulting

AI/LLM Engineer

Carlstadt, NJ · On-site

Roles and Responsibilities Agent & AI System Development * Design and develop AI agent systems ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

New

2T Consulting

AI/LLM Engineer

Floral Park, NY · On-site

Roles and Responsibilities Agent & AI System Development * Design and develop AI agent systems ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

New

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Showing results 41-60

All JobsAssociate Ai Agent Developer JobsAssociate Ai Agent Developer Jobs in New York

Associate Ai Agent Developer information

What is the difference between Associate Ai Agent Developer vs Machine Learning Engineer?

AspectAssociate Ai Agent DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or Master's in CS, Data Science, or related; advanced certifications
Work EnvironmentTech companies, AI startups, R&D labsTech firms, AI companies, research institutions
Employer & Industry UsageDevelops AI agents, chatbots, virtual assistantsDesigns ML models, algorithms, data pipelines
Common Search & ComparisonOften compared for entry-level AI rolesMore advanced, research-focused roles

The Associate Ai Agent Developer typically focuses on building and maintaining AI agents like chatbots and virtual assistants, often at an entry to mid-level. In contrast, a Machine Learning Engineer develops complex ML models and algorithms, usually requiring more advanced skills and experience. Both roles are vital in AI development but differ in scope, complexity, and specialization.

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The most popular types of Ai Agent Developer jobs in New York are:

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For Associate Ai Agent Developer jobs in New York, the most frequently searched job titles are:

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Associate Ai Agent Developer jobs near you

AI Agent Product Manager

Hello Patient

New York, NY • On-site

$110K - $160K/yr

Full-time

Re-posted 19 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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