About Us
Abacus Insights is changing the way healthcare works for you. We’re on a mission to unlock the power of data so health plans can enable the right care at the right time—making life better for millions of people. No more data silos, no more inefficiencies. Just smarter care, lower costs, and better experiences.
Backed by $100M from top VCs, we’re tackling big challenges in an industry that’s ready for change. And while GenAI is still new for many, we’ve already mastered turning complex healthcare data into clear, actionable insights. That’s our superpower—and it’s why we’re leading the way.
Abacus, innovation starts with people. We’re bold, curious, and collaborative—because the best ideas come from working together. Ready to make an impact? Join us and let's build the future, together.
About the Role:
Join Abacus Insights to architect and implement cutting-edge AI platforms that power healthcare innovation. As a Senior AI Engineer, you’ll provide technical leadership, mentor teams, and partner with engineering leaders on strategic initiatives to scale AI capabilities across the organization.
What you'll do:
- Architect and Implement AI Platforms - Design and build scalable AI systems and platforms that power Abacus products and services.
- Shape AI Strategy and Features - Define the direction of applied AI and intelligence features, deploying state-of-the-art models and technologies (e.g., Abacus Agents, MCP, SQL and RAG tools).
- Develop Advanced AI Solutions - Create novel data collection methods, fine-tuning strategies, and LLM technologies optimized for specific tasks and domains.
- Build Robust ML Pipelines - Implement end-to-end pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and evaluation to enable rapid experimentation and iteration.
- Scale GenAI Infrastructure - Develop reusable backend systems for GenAI products, including logging, telemetry, and evaluation frameworks for reliable performance.
- Lead Critical AI Projects - Drive initiatives focused on AI innovation, development productivity, and benchmarking to accelerate delivery and quality.
- Collaborate Across Teams - Work closely with AI engineers, data engineers, product teams, and business stakeholders to deliver impactful solutions that enhance user experience.
- Mentor and Coach - Guide development teams, enforce coding standards, and foster best practices in architecture and agile methodologies.
- Influence Architecture Decisions - Participate in software design discussions, ensuring consistency and alignment with organizational strategy.
- Optimize Processes - Identify and implement improvements for Agile/Scrum teams, especially in fast-moving AI projects.
- Ensure Delivery Excellence - Manage timelines, quality standards, and communication around architecture and implementation objectives.
- Maintain Operational Readiness - Balance roadmap commitments with incident management, configuration management, and client escalations.
- Champion Security and Compliance - Protect confidential data and ensure adherence to security and regulatory standards.
What we expect from you:
- 3+ years of ML/AI engineering experience in high-growth environments or equivalent academic research background.
- 3+ years of software development experience at some point in your career.
- 2+ years working with Databricks, Mosaic AI Gateway, and related Data+AI technologies.
- Proven expertise in language modeling and GenAI, including generative and embedding techniques, fine-tuning, evaluation benchmarks, agentic workflows (orchestration, observability, debugging), RAG, SQL Agents, and MCP.
- Proficiency in Python, TensorFlow/PyTorch, and scalable ML/AI architectures.
- Ability to deliver end-to-end model and system development—from research and prototyping to deployment and monitoring.
- Strong coding skills and familiarity with software engineering best practices (testing, code reviews, deployment).
- Experience designing scalable, distributed systems for data processing (10s–100s TB).
- Broad technical depth to influence and lead discussions with internal and external stakeholders.
- Understanding of adjacent roles (product, project management, client delivery, operations) and ability to collaborate effectively.
- Track record of leading engineering teams or projects to deliver production-grade systems.
What we like to see, but not required:
- Snowflake, FHIR, Healthcare Data exposure
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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.
Originally posted on Himalayas