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About This Role
Our mission is to make exceptional healthcare accessible anytime, anywhere, for anyone.
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At Assort Health, we believe healthcare should feel effortless and connected — quick answers, clear communication, and seamless access to care. That’s why we’re building a new foundation for how patients and providers connect, driven by AI, built to embrace the complexities of healthcare, and tailored to each provider’s unique needs.
Assort is the most comprehensive patient experience platform powered by specialty\-specific agentic AI. Assort’s omnichannel AI agents seamlessly integrate with EHR/PMS and complicated provider preferences to eliminate lengthy hold times and inefficiencies that stand in the way of patients getting the care they need.
Since launching in 2023, Assort has managed over 150M\+ patient interactions, slashing average hold times from 11 minutes to 1 minute. Our platform now handles calls for thousands of providers with 98%\+ resolution rates and 99% scheduling accuracy. Patient satisfaction averages 4\.5/5 over 52K reviews, and we’ve achieved 20× revenue growth in 2025. We’re scaling rapidly and expanding adoption across the entire healthcare industry.
About Us
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At Assort Health, we build AI\-powered systems that help healthcare organizations deliver faster, clearer, and more human patient experiences. Our AI agents operate directly within real clinical workflows, reducing operational burden and improving access to care at scale.
We focus on solving high\-impact problems in healthcare operations—designing production\-grade AI that clinicians and patients rely on every day. You’ll work closely with engineering, design, sales, and operations to lead new AI products from concept to launch, shaping how intelligent agents reason, act, and collaborate in complex healthcare environments.
What You’ll Do
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Lead Development of High\-Performance AI Agents
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As a Product Manager for AI Agents, you’ll partner with engineering, design, and customers to build production\-grade AI systems that manage high\-volume, high\-complexity interactions. You’ll be responsible for taking agents from concept to launch and continuously improving them as new business needs emerge. You will scope out new products and surface area end to end, leading the charge on new product workstreams 0 1\. You’ll work directly with the CEO on a small yet quickly growing product team. Your work will directly improve healthcare access and the lives of both patients and providers.
Work Directly With Customers
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You will engage deeply with customers: across technical, operational, and executive teams, to:
- Understand workflows, requirements, and bottlenecks
- Design and present demos that showcase our capabilities
- Collaborate with technical stakeholders to solve integration challenges
- Tailor and refine agents so they align with real business processes
- Serve as a strategic advisor, helping customers shape long\-term AI strategies
- Build strong, trusted relationships across customer organizations
Influence the Product Roadmap
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You’ll work with cross\-functional partners to define requirements, prioritize features, and translate customer needs into actionable engineering work. You’ll help ensure we’re building the right capabilities at the right time to support our next phase of product growth: moving beyond just answering the phone.
We are launching proactive, agentic campaigns to close care gaps—reaching out to patients to schedule things like annual physicals and flu shots rather than waiting for them to react to health needs. We are also deploying Agent Memory to ensure every conversation feels personal. Our system uses past interactions to predict a patient’s needs: remembering if they prefer Spanish, adjusting speaking speed, or modulating voice tone to be more empathetic based on context.
But modern patient access isn’t just about voice. We are meeting patients where they are by expanding into chatbots and two\-way texting. We are also fixing hidden friction in the background with our new referral orchestration and document processing platforms, ensuring that critical data is ingested automatically so patients get the care they need faster.
What You Bring
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- 3\+ years developing and shipping technical products
- Previous experience as a Product Manager or equivalent role
- Ability to craft compelling narratives for customers, including executives
- Strong communication skills with both technical and non\-technical audiences
- Familiarity with modern AI technologies and how they apply to real\-world problems
- Bachelor’s degree in a technical field (or equivalent practical experience)
Bonus Skills
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- Experience building or deploying AI agents or LLM\-powered systems
- Ability to write or read code: especially Python and Typescript
- Ability to prototype and build demos and prototypes using AI coding tools
- MBA or comparable business experience
- Background in customer\-facing or consulting\-style roles influencing product decisions
Benefits \& Perks for Assorties
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- Competitive Compensation – Including salary *and* employee stock options so you share in our success.
- Lifelong Learning – Annual budget for professional development, plus training opportunities to help you grow.
- Office Setup Stipend – We’ll outfit your in\-office workspace so comfy as it's productive.
- Top\-Tier Health Coverage – Medical, dental, and vision insurance, because your health comes first.
- Unlimited PTO – We trust you to take the time you need to recharge and come back ready to crush it.
- Meals \& Snacks – Lunch, dinner, and snack breaks that fuel great ideas.
- Fitness Stipend – Your wellness matters. We reimburse monthly membership costs to support your health.
- Commuter Benefits – We cover eligible transportation costs to make your trip to work easier.
- 401(k) – Build your retirement savings.
How We Work \& What We Value
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Our team at Assort Health moves fast, stays focused, and is fueled by a desire to serve our customers and patients. Our company values guide *how* we work—they are present in how we show up, make decisions and work together to move our mission forward. We bring a Day One Drive, relentlessly striving to improve, keep a 5\-Star Focus, as our customers are our lifeblood, always Answer the Call, remembering that ownership and accountability are paramount, and show up with One Pulse, because we are one team, with one rhythm and one result. Our team is growing and we are looking for motivated, hardworking, and passionate talent. If you want to make healthcare accessible for everyone, we’d love to hear from you!
Please note: the Assort Health Talent Team will only email you from an assorthealth.com email address.
Compensation Range: $175K \- $245K
Salary Context
This $175K-$245K range is below the median for AI Agent Developer roles in our dataset (median: $212K across 45 roles with salary data).
View full AI Agent Developer salary data →Role Details
About This Role
AI Agent Developers build autonomous systems that can reason, plan, and take actions. They design multi-step workflows, tool-use frameworks, and orchestration layers that let LLMs interact with external systems. This is the frontier of applied AI engineering.
Agent development is where the most interesting (and hardest) problems in applied AI live right now. Making an LLM answer a question is straightforward. Making it reliably execute a 15-step workflow that involves calling APIs, reading databases, making decisions, and recovering from errors is an unsolved problem. You're building systems that have to work despite the fact that the underlying model is non-deterministic.
Across the 3,824 AI roles we're tracking, AI Agent Developer positions make up 1% of the market. At Assort Health, this role fits into their broader AI and engineering organization.
AI Agent Developer is one of the newest and fastest-growing AI role categories. The market is early but accelerating as companies move beyond simple chatbots toward AI systems that can take real actions. Compensation is high because the skill set is rare and the business impact is potentially enormous.
What the Work Looks Like
A typical week includes: designing the action space and tool definitions for a new agent use case, debugging why the agent chose the wrong action sequence on a specific input, building evaluation frameworks that test agent reliability across hundreds of scenarios, optimizing the prompt chain for cost and latency, and implementing safety guardrails to prevent the agent from taking destructive actions. The work is equal parts engineering and empirical science.
AI Agent Developer is one of the newest and fastest-growing AI role categories. The market is early but accelerating as companies move beyond simple chatbots toward AI systems that can take real actions. Compensation is high because the skill set is rare and the business impact is potentially enormous.
Skills Required
Deep experience with LLM APIs and agent frameworks (LangChain, CrewAI, AutoGen). Strong understanding of prompt engineering, function calling, and error handling for non-deterministic systems. Python is standard. Experience with orchestration patterns, state management, and workflow engines adds significant value.
The best agent developers think like systems engineers. They design for failure modes, build observability into every step, and understand that agent reliability is the product. Expertise in evaluation methodology for non-deterministic systems is the differentiator. Can you measure whether your agent works 'well enough'? Can you find the edge cases where it breaks?
Look for roles that describe specific agent use cases, mention evaluation methodology, and talk about production deployment. Early-stage companies exploring agents can be exciting, but be prepared for ambiguity. The most valuable roles are at companies that have already shipped a v1 and need to make it reliable.
Compensation Benchmarks
AI Agent Developer roles pay a median of $252,000 based on 90 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $160,000. This role's midpoint ($210K) sits 17% below the category median. Disclosed range: $175K to $245K.
Across all AI roles, the market median is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $97,380; Mid: $160,000; Senior: $227,400; Director: $243,000; VP: $250,000.
Assort Health AI Hiring
Assort Health has 4 open AI roles right now. They're hiring across AI/ML Engineer, AI Agent Developer. Based in New York, NY, US. Compensation range: $220K - $290K.
Location Context
AI roles in New York pay a median of $210,000 across 2,448 tracked positions. That's 5% above the national median.
Career Path
Common paths into AI Agent Developer roles include Software Engineer, LLM Engineer, Prompt Engineer.
From here, career progression typically leads toward AI Architect, Principal Engineer, Head of AI Engineering.
Build agents. That's the portfolio. Take an open-source agent framework, build something that completes a non-trivial multi-step task, evaluate it rigorously, and document what you learned about reliability, cost, and failure modes. The field is new enough that practical experience counts for more than credentials.
What to Expect in Interviews
Interviews focus on systems thinking and reliability engineering. Expect questions about agent architecture: how you'd design a multi-step workflow with error recovery, how you'd evaluate agent performance, and how you'd prevent agents from taking destructive actions. Coding exercises often involve building a simple agent with tool use and evaluating its behavior across different scenarios. Discussion of safety and guardrails is increasingly common.
When evaluating opportunities: Look for roles that describe specific agent use cases, mention evaluation methodology, and talk about production deployment. Early-stage companies exploring agents can be exciting, but be prepared for ambiguity. The most valuable roles are at companies that have already shipped a v1 and need to make it reliable.
AI Hiring Overview
The AI job market has 3,824 open positions tracked in our dataset. By seniority: 119 entry-level, 1,813 mid-level, 1,472 senior, and 420 leadership roles (Director, VP, C-Level). Remote roles make up 16% of the market (613 positions). The remaining 3,187 roles require on-site or hybrid attendance.
The market median for AI roles is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($293,500 median, 31 roles); AI Safety ($274,200 median, 51 roles); Research Engineer ($260,000 median, 401 roles).
AI Agent Developer is one of the newest and fastest-growing AI role categories. The market is early but accelerating as companies move beyond simple chatbots toward AI systems that can take real actions. Compensation is high because the skill set is rare and the business impact is potentially enormous.
The AI Job Market Today
The AI job market spans 3,824 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,702), Data Scientist (281), AI Software Engineer (258). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (119) are outnumbered by mid-level (1,813) and senior (1,472) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 420 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 16% of all AI roles (613 positions), with 3,187 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $200,000. Top-quartile roles start at $253,000, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $142,800. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,968 postings), Aws (1,203 postings), Azure (882 postings), Rag (877 postings), Gcp (735 postings), Prompt Engineering (587 postings), Pytorch (586 postings), Claude (554 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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