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Senior AI Engineer New Remote - US

Remote / Online - Candidates ideally in
Yonkers, Westchester County, New York, 10701, USA
Listing for: Abacus Insights
Remote/Work from Home position
Listed on 2026-08-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering
Salary/Wage Range or Industry Benchmark: 150000 - 230000 USD Yearly USD 150000.00 230000.00 YEAR
Job Description & How to Apply Below

Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.

We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions—so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike. Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support automation, prioritization, and decision workflows—and it’s why we are leading the way.

Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. We embrace the thoughtful use of AI and automation to drive innovation and efficiency, and we look for individuals who are curious and adaptable—those excited to leverage emerging technologies to enhance how we work—while keeping human insight, connection, and our clients at the center of every decision.

Ready to make an impact? Join us and let’s build the future together.

About Us

Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.

We help health plans break down data silos to create a single, trusted data foundation — one that powers better decisions, improves outcomes, reduces waste, and delivers better experiences for members and providers alike. Backed by $100M from top investors, we're tackling big challenges in an industry that's ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support automation, prioritization, and decision workflows — and it's why we're leading the way.

Our innovation begins with people. We're bold, curious, and collaborative, because the best ideas come from working together. We embrace the thoughtful use of AI and automation to drive innovation and efficiency, and we look for individuals who are excited to leverage emerging technologies to enhance how we work — while keeping human insight, connection, and our clients at the center of every decision.

Ready to make an impact? Join us and let's build the future together.

About the Role

AI is the engine behind where Abacus is headed next — and this role sits at the controls. As a Senior AI Engineer, you'll help architect, build, and implement our AI platforms, working shoulder-to-shoulder with data quality engineers, data/software engineers, platform engineers, Dev Ops, product owners, and the business. You'll provide technical leadership across multiple, geographically distributed teams, coaching them toward future success, and you'll partner directly with engineering leadership on strategic initiatives that determine how we scale AI across the organization.

This is a build-and-lead role in equal measure: you'll be hands-on with the models, pipelines, and agentic systems that power products like Abacus Agents, and you'll be the person teams look to for direction, mentorship, and architectural judgment as we push further into applied AI.

Your day to day
  • Help shape the direction of our applied AI areas and intelligence features, driving deployment of state-of-the-art AI models and systems that directly impact Abacus's products and services (Abacus Agents, MCP, SQL and RAG agents and tools, and more).
  • Develop novel data collection, fine-tuning, and LLM techniques that achieve optimal performance on specific tasks and domains.
  • Design and implement ML/AI pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and evaluation — enabling rapid experimentation, iteration, and self-healing systems.
  • Build scalable, reusable backend systems to support GenAI products company-wide, with robust logging, telemetry, and evaluation harnesses to ensure reliable performance.
  • Partner with cross-functional teams — AI engineers, data engineers,…
Position Requirements
10+ Years work experience
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