Senior AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the development and ongoing enhancement of the clinical NLP integration layer that links coding infrastructure with the AI pipeline.

• Manage the golden dataset pipeline to establish trusted evaluation standards for the clinical AI program.

• Design and implement scalable data and AI workflows that ensure accurate, measurable, and explainable clinical AI solutions.

• Construct annotation pipelines and scientifically robust ground truth datasets.

• Train high-performance classifiers for complex clinical documentation scenarios.

• Tackle challenges related to sparse, skewed, and evolving label distributions.

• Collaborate with the CDI Lead, Data Scientists, MLOps Engineers, and AI platform teams to co-manage the golden dataset strategy.

• Develop evaluation frameworks to guarantee reliability, scalability, and clinical validity of AI-driven coding solutions.

• Implement and maintain components of the agentic AI framework.

• Utilize open-source AI frameworks to create and test agents.

• Integrate selected open-source solutions into the agentic AI framework.

• Partner with product engineers to embed AI agents into customer-facing applications and internal tools.

• Write Python code for AI workflows, APIs, and data integration tasks.

• Test, debug, and enhance AI-powered workloads.

• Contribute to documentation and knowledge sharing efforts.

• Fulfill assigned performance-review responsibilities, special projects, and other duties.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5 years of software engineering experience with exposure to AI/ML concepts or platforms.

• Strong programming skills in Python.

• Hands-on experience with at least one agentic AI framework, such as LangChain, LangGraph, CrewAI, or AutoGen, acquired through projects, internships, or work experience.

• Familiarity with FastAPI or Flask is advantageous.

• Experience with containerization using Docker.

• Knowledge of cloud environments such as AWS, GCP, or Azure.

• Familiarity with Kubernetes orchestration frameworks.

• Experience with modern LLM APIs such as OpenAI and Anthropic.

• Experience in Risk Adjustment coding is a plus.

• Ability to work independently while also collaborating effectively as part of a team, with a sense of urgency.

• Capability to handle confidential information appropriately.

• Proficiency in managing multiple tasks, prioritizing, and meeting deadlines.

• Flexibility to work with global teams and teams based in various locations across the US.

• Must ensure high-speed internet access/connectivity and maintain an appropriate office setup.

• Must provide a dedicated and secure work area.

• Must be able to perform duties with or without reasonable accommodation.

🏝️ Benefits

• Coverage for medical, dental, vision, disability, and life insurance.

• 401(k) savings plans.

• Paid family leave.

• 9 paid holidays annually.

• 17-27 days of Paid Time Off (PTO) each year, depending on specific level and tenure.

• Options for remote work.

• Virtual interviews.