高级AI工程师
Senior AI Engineer
**关于我们**
Abacus Insights 正在改变健康计划的数据运作方式。我们的使命很简单:让医疗数据变得可用,使负责护理和成本决策的人能够更快、更有信心地采取行动。
我们帮助健康计划打破数据孤岛,创建一个单一、可信的数据基础。这个基础推动更好的决策——使计划能够改善结果、减少浪费,并为成员和提供者带来更好的体验。由顶级投资者提供的 10000 万美元资金支持,我们正在解决一个准备变革的行业中的重大挑战。我们的平台通过提供干净、连接且可靠医疗数据来支持自动化、优先级和决策工作流程,实现 GenAI 使用场景,这也是我们走在前列的原因。
我们的创新始于人。我们大胆、好奇、协作——因为最好的想法来自于共同合作。我们重视对 AI 和自动化的深入使用,以推动创新和效率,我们寻找那些充满好奇心和适应力强的人——那些热衷于利用新兴技术来提升工作方式的人——同时将人类洞察、联系和客户置于每个决策的核心。
准备好产生影响了吗?加入我们,一起打造未来。
**职位描述**
AI 是 Abacus 下一步发展的引擎——而这个职位就位于控制中心。我们正在寻找一位曾经担任过技术负责人的人——一位知道在项目中作为房间内最资深的人是什么感觉的人,并且在设定技术方向和在关键时刻亲自进行实际设计工作时都感到舒适。这个职位不仅仅是监督;你将发起项目,亲自设计系统和架构,然后与其他团队(数据质量工程师、平台工程师、DevOps、产品负责人和业务部门)协调,将该设计变为现实。
指导他人是工作的一部分,但不是保持技术性的替代方案。你将通过代码审查、指导和辅导来培养其他工程师,同时自己也保持高度参与——别人会来找你是因为你能真正完成工作,而不仅仅是谈论它。你还将充当技术能力和业务需求之间的联络人,帮助产品和业务相关方理解什么是可以实现的,同时确保技术决策始终基于真实的业务优先事项。
**日常职责**
- 担任技术最资深的人员
- 主导技术决策并亲自参与关键设计工作
- 与数据质量工程师、平台工程师、DevOps、产品负责人和业务部门协调,将设计落地
- 通过代码审查、指导和辅导培养其他工程师
- 在技术能力和业务需求之间建立桥梁,确保技术决策符合实际业务目标
查看英文原文
**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. 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 the Role**
AI is the engine behind where Abacus is headed next — and this role sits at the controls. We're looking for someone who has been a tech lead before — someone who knows what it feels like to be the senior-most person in the room on a project, and who's comfortable both setting the technical direction and doing the hands-on design work personally when it counts. This role isn't purely about overseeing; you'll be initiating projects, personally designing systems and architecture, and then coordinating with other teams — data quality engineers, platform engineers, DevOps, product owners, and the business — to bring that design to life.
Mentorship is a real part of the job, but it's not a replacement for staying technical. You'll grow other engineers through code review, guidance, and coaching, while remaining deeply hands-on yourself — someone others come to because you can actually do the work, not just talk about it. You'll also serve as the liaison between technical capability and business need, helping product and business stakeholders understand what's feasible while making sure technical decisions stay grounded in real business priorities.
**Your day to day**
- Serve as the senior-most technical voice on projects you're part of, and act as the liaison between technical capability and business need — partnering with product managers and stakeholders to translate roadmap and customer priorities into technical direction, and translating technical realities back into terms the business side can plan around.
- 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, and design 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.
- Shape and guide the work of other engineers on a project — setting technical direction and reviewing approach — and mentor and coach developers as an extension of that work, not a substitute for staying technically hands-on, helping others grow while keeping delivered solutions aligned with our architecture, coding standards, and policies.
- Participate in architectural discussions and influence key technical decisions, while identifying people and process improvements for Agile/Scrum teams where innovation and rapid iteration are critical to AI work.
- Balance delivery against roadmap commitments while navigating interruptions and client escalations, with a solid grasp of incident management, configuration management, and operational efficiency — communicating architecture and implementation objectives upward and keeping teams aligned with established policies.
- Represent Abacus credibly in customer-facing technical conversations, especially where business stakeholders need a trustworthy read on what's technically feasible.
**What you bring to the team**
- 3+ years of ML/AI engineering experience in high-velocity, high-growth companies (or equivalent ML/AI research background in academia), within 8+ years of overall software development experience.
- A track record of leading software development teams or projects toward production-grade systems supporting real customers, along with experience mentoring and growing engineers — setting technical direction, delegating effectively, and being a go-to resource other engineers seek out for guidance.
- A strong track record with language modeling technologies and GenAI — generative and embedding techniques, modern model architectures, fine-tuning/pre-training datasets, evaluation benchmarks, RAG, SQL agents, and similar — including strong, hands-on experience in at least one of agents/agentic workflows, MCP, or RAG, with working exposure to all three. This is the core technical bar for the role.
- Proficiency in Python, TensorFlow/PyTorch, and scalable ML/AI architecture.
- Proven ability to drive end-to-end model and system development, from research and prototyping through deployment and monitoring.
- Strong coding and software engineering fundamentals — testing, code review, deployment best practices, QA, test automation, and Agile methodologies — along with experience designing scalable, distributed systems for data processing applications at the 10s–100s of TBs scale.
- Demonstrated knowledge of Cloud Architecture, AI Architecture, Agents/Agentic systems, Massive Parallel Processing (MPP) compute frameworks for Data+AI platforms, security, and MCP/API-based services, with enough breadth and depth to hold your own — and influence outcomes — in technical discussions with internal and external stakeholders.
- Solid understanding of roles adjacent to software development (product management, project management, client delivery, operations), the ability to work fluidly with each, and strong analytical and problem-solving instincts with a genuine passion for improving AI-driven user experiences.
- Bachelors Degree or equivalent relevant professional experience.
**What we would like to see, but not required**
- Experience with Databricks and Mosaic AI Gateway.
- Experience with Snowflake.
- Familiarity with FHIR.
- Exposure to healthcare data.
- Prior experience as a tech lead, team lead, or people manager for engineering staff.
**Compensation**
Compensation for this role is based on experience, skills, and location, and includes base salary plus eligibility for performance bonuses and equity grants.
**What you'll get in return**
- Unlimited paid time off — recharge when you need it.
- Work from anywhere — flexibility to fit your life.
- Comprehensive health coverage — multiple plan options to choose from.
- Equity for every employee — share in our success.
- Growth-focused environment — your development matters here.
- Home office setup allowance — one-time support to get you started.
- Monthly cell phone allowance — stay connected with ease.
**Our Commitment as an Equal Opportunity Employer**
As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.
**AI Use in Recruitment**
We use AI-powered tools throughout our recruitment process. This includes Greenhouse's Real Talent Matching Technology, which helps prioritize applications based on job-related criteria, as well as additional AI tools used to support sourcing, interview preparation, and other recruiting tasks. **We do not remove the human element—our recruiters and hiring teams review all applications and make all decisions related to candidate progression and hiring, regardless of which tools are used to support that process.**
By applying, you acknowledge that we will collect and process your personal information for recruiting purposes in accordance with applicable data protection laws. Please review our [Applicant Privacy Notice](https://abacusinsights.com/applicant-privacy-policy/) for more information, including your rights.