Demo

AI/ML Engineer - Healthcare Intelligence Platform

Andiamo
York, NY Full Time
POSTED ON 6/17/2026 CLOSED ON 7/16/2026

What are the responsibilities and job description for the AI/ML Engineer - Healthcare Intelligence Platform position at Andiamo?

Founding AI Engineer – Agentic AI & Autonomous Healthcare Workflows

Andiamo is hiring on behalf of an innovative client building next-generation AI solutions for the healthcare technology sector. This venture-backed company is leveraging advanced AI systems to solve one of healthcare's most costly and persistent challenges: helping providers recover billions of dollars in lost revenue caused by insurance claim denials, payment delays, and administrative inefficiencies.

This is a rare opportunity to join an early-stage, high-growth organization at a pivotal moment and help architect the AI foundation of a platform designed to transform how healthcare organizations operate. If you're passionate about large language models, autonomous agents, applied machine learning, and building systems that create measurable real-world impact, this role offers the chance to do meaningful work at scale.

About The Opportunity

We are seeking an experienced AI/ML Engineer to help design, build, and scale a sophisticated agent-based AI platform that automates complex decision-making workflows across healthcare revenue operations.

This role goes far beyond experimenting with language models. You will create production-grade AI systems capable of reasoning, retrieving information, coordinating tasks, generating documents, and continuously improving through feedback. You will work directly with business stakeholders, engineering leadership, and domain experts to translate complex operational processes into intelligent, autonomous workflows.

The ideal candidate combines strong machine learning expertise with a builder's mindset, thrives in startup environments, and enjoys turning ambitious ideas into production-ready systems.

What You'll Build

  • Advanced multi-agent systems capable of independently navigating complex operational workflows.
  • Intelligent decision-making frameworks powered by large language models.
  • Retrieval-Augmented Generation (RAG) systems that surface critical information from large, unstructured datasets.
  • Reasoning engines that analyze documentation, policies, historical outcomes, and supporting evidence.
  • Automated content generation systems that create high-quality business and operational documents.
  • Evaluation and feedback frameworks that continuously improve model performance and reliability.
  • Production infrastructure that supports AI agents operating at enterprise scale.

Key Responsibilities

AI Platform Architecture

  • Design and implement the foundational architecture for an enterprise-grade agentic AI platform.
  • Develop scalable frameworks that enable autonomous task execution across complex business workflows.
  • Create orchestration systems that coordinate multiple specialized agents working together toward a common objective.
  • Drive architectural decisions that balance performance, reliability, transparency, and scalability.

Agent Development

  • Build specialized AI agents focused on classification, analysis, information retrieval, reasoning, decision support, and document generation.
  • Develop workflows that allow agents to collaborate across multi-step business processes.
  • Design intelligent routing and coordination mechanisms that maximize system effectiveness.
  • Optimize agent behavior through prompt engineering, model tuning, evaluation methodologies, and structured feedback loops.

Retrieval & Knowledge Systems

  • Build sophisticated RAG architectures that combine language models with proprietary knowledge sources.
  • Develop strategies for retrieving, ranking, and synthesizing information from structured and unstructured data.
  • Implement vector search, semantic retrieval, and knowledge management solutions that improve decision quality.
  • Ensure information accuracy, traceability, and explainability across AI-generated outputs.

Production AI Operations

  • Partner with platform and infrastructure engineers to deploy, monitor, and scale AI systems in production environments.
  • Build observability, evaluation, and monitoring frameworks that measure performance and business outcomes.
  • Create automated testing and validation systems that improve reliability and trustworthiness.
  • Establish best practices for AI governance, model management, and continuous improvement.

Cross-Functional Collaboration

  • Work closely with operational experts to understand real-world workflows and translate them into intelligent automation.
  • Collaborate with product and engineering teams to define the long-term AI vision and technical roadmap.
  • Participate in architectural reviews, technical design discussions, and code reviews.
  • Help shape the culture, standards, and future direction of the AI organization.

What We're Looking For

  • 2 years of hands-on experience deploying machine learning or AI solutions into production environments.
  • Strong experience building applications powered by large language models and modern AI frameworks.
  • Demonstrated success designing, implementing, and maintaining end-to-end AI workflows.
  • Experience working with Retrieval-Augmented Generation (RAG) architectures and knowledge retrieval systems.
  • Strong understanding of prompt engineering, model evaluation, and optimization techniques.
  • Ability to move quickly, iterate rapidly, and deliver practical solutions in a startup environment.
  • Excellent software engineering fundamentals and production deployment experience.
  • Strong communication skills and the ability to work cross-functionally with technical and non-technical stakeholders.

Highly Desired Experience

  • Building or deploying autonomous AI agents in production.
  • Multi-agent orchestration frameworks and agent communication systems.
  • Reinforcement learning, decision optimization, or advanced reasoning systems.
  • Fine-tuning and evaluation of foundation models.
  • Healthcare technology, revenue cycle management, insurance workflows, or regulated industries.
  • Experience scaling AI systems in high-growth startup environments.

Why This Role Stands Out

Work on a Problem That Matters

The healthcare industry loses enormous amounts of revenue each year due to inefficient administrative processes. The systems you build will directly help healthcare organizations recover critical resources, improve operational efficiency, and ultimately allow providers to focus more on patient care.

Build at the Frontier of AI

This role sits at the intersection of agentic AI, workflow automation, large language models, and enterprise software. You'll have the opportunity to push beyond basic chatbot implementations and build intelligent systems capable of meaningful autonomous work.

Massive Growth Potential

Join a rapidly scaling, venture-backed company during a period of significant expansion. As an early engineering hire, you'll influence technical architecture, product strategy, and the future direction of the organization.

Direct Impact & Ownership

Your work won't disappear into a backlog. You'll interact directly with users, influence product decisions, and see the measurable outcomes of the systems you create.

Collaborative, High-Caliber Team

Work alongside ambitious builders, engineers, and operators who move quickly, value craftsmanship, and are committed to solving meaningful problems with technology.

Ideal Candidate Profile

You are equally comfortable discussing transformer architectures, designing production systems, reviewing model outputs, and talking directly with customers to understand workflow pain points. You enjoy ambiguity, thrive in fast-moving environments, and are excited by the opportunity to help define the future of AI-powered automation in a critical industry.

If you're looking for a role where cutting-edge AI meets real-world impact, we'd love to hear from you.

About Andiamo

Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies.

For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.

Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com

Salary.com Estimation for AI/ML Engineer - Healthcare Intelligence Platform in York, NY
$126,492 to $162,896
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