Senior AI Engineer

About Us

Abacus Insights is a mission-driven technology company focused on transforming the healthcare data industry, ultimately creating a more personalized patient experience, improving health outcomes, and lowering the overall cost of healthcare. Abacus Insights provides a flexible, efficient, and secure platform that organizes and exchanges healthcare data from various sources and formats, allowing our customers to uncover differentiated insights. In addition, our employees know that they play an active role in keeping our customers' data safe and are responsible for ensuring that our comprehensive policies and practices are met. 

With our deep expertise in cloud-enabled technologies and knowledge of the healthcare industry, we have built an innovative data integration and management platform that allows healthcare payers access to data that has been historically siloed and inaccessible. Through our platform, these healthcare organizations can ingest and manage all the data they need to transform their business by supporting their analytical, operational, and financial needs.   

Since our founding in 2017, Abacus has built a highly successful SaaS business, raising $100 Million from leading VC firms with deep expertise in the healthcare and technology industries. We are solving problems of massive scale and complexity in a sector that is not only ready for disruption. We're growing quickly and would love for you to be a part of it! 

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 

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.