Ai/llm engineer — healthcare payment integrity

PLEASE NOTE BEFORE APPLYING:

CODOXO IS NOT ABLE TO OFFER SPONSORSHIP OR ACCOMMODATE ANY CANDIDATES THAT ARE CURRENTLY BEING SPONSORED NOW OR IN THE FUTURE

Of the $3.8T we spend on healthcare in the United States annually, about a third of it is estimated to be lost due to waste, fraud and abuse. Codoxo is the premier provider of artificial intelligence-driven solutions and services that help healthcare companies and agencies proactively detect and reduce risks from fraud, waste, and abuse and ensure payment integrity. Codoxo helps clients manage costs across network management, clinical care, provider coding and billing, payment integrity, and special investigation units. Our software-as-a service applications are built on our proven Forensic AI Engine, which uses patented AI-based technology to identify problems and suspicious behavior far faster and earlier than traditional techniques.

We are venture backed by some of the top investors in the country, with strong financials, and remain one of the fastest growing healthcare AI companies in the industry.

Position Summary:

The Lead AI Platform & Products Engineer is the highest-level technical leadership role within Codoxo's AI engineering organization and serves as the technical authority for AI architecture, platform strategy, and engineering excellence across Machine Learning, Generative AI, and Agentic AI.

In addition to leading the technical direction of Codoxo's AI platform, this role provides day-to-day technical leadership and initial people management responsibilities for AI engineers, fostering engineering excellence, mentoring talent, developing future technical leaders, and driving execution across multiple AI initiatives.

The Lead AI Platform & Products Engineer designs, delivers, and scales enterprise AI solutions spanning Machine Learning, Generative AI, and Agentic AI while partnering closely with AI leadership, every developer in the AI function, Product, Engineering, and Security to transform research into secure, scalable, production-ready AI capabilities deployed across Codoxo's AWS-based SaaS platform and power Codoxo AI products, creating unprecedented value for our customers.

Key Responsibilities:

• Lead architecture and evolution of production AI platforms spanning Machine Learning, Generative AI, and Agentic AI.
• Design AutoML, MLOps, Model-as-a-Service, feature engineering, automated retraining, monitoring, and model lifecycle platforms.
• Build production GenAI solutions using Amazon Bedrock, RAG, vector databases, prompt engineering, PEFT (LoRA/QLoRA), and responsible AI.
• Architect autonomous multi-agent systems using Bedrock AgentCore, MCP, Strands, and modern agent frameworks.
• Define AI platform standards, reusable components, governance, observability, and security best practices.
• Provide technical leadership and initial people management through mentoring, coaching, workload planning, performance feedback, and technical growth.
• Partner with Product and Engineering to deliver scalable AI products while ensuring HITRUST, HIPAA, NIST 800-53, FedRAMP, and responsible AI compliance.

Qualifications:

• 8+ years software engineering experience, including 5+ years building production AI systems.
• Demonstrated expertise across Machine Learning, Generative AI/LLMs, and Agentic AI.
• Expert Python and AWS (Bedrock, SageMaker, Lambda, ECS/EKS, Step Functions, API Gateway, EventBridge, Aurora PostgreSQL, S3, IAM, CloudWatch).
• Deep experience with MLOps, CI/CD, experimentation, drift detection, production model operations, and AI platform engineering.
• Hands-on experience with RAG, vector search, embeddings, prompt engineering, AWS Evaluations (AWS Evals), steering hooks and guardrails, model evaluation, and LLM optimization.
• Experience with Bedrock AgentCore, MCP, Strands, LangGraph, CrewAI, or equivalent.
• Healthcare claims/FHIR/ICD-10/CPT/HCPCS and AI-assisted IDEs (Claude Code, Cursor, Gemini Code Assist, AWS Q Developer, or equivalent) preferred.
• Remote Work Requirements: To ensure reliable performance on the company-issued CODOXO laptop, employees working remotely must have a stable high-speed internet connection. Internet performance should be measured using a speed test conducted directly on the CODOXO laptop, not based solely on the internet plan purchased from the provider.
• Physical Requirements: Work is performed in an office environment (either in our office or work-from home) and requires the ability to work on a computer, operate standard office equipment, and work at a desk.

Leadership & Soft Skills

• Provide technical and people leadership across multiple AI initiatives and engineering teams.
• Build, mentor, coach, and develop high-performing AI engineers.
• Own cross-functional AI architecture and engineering standards.
• Drive execution by aligning priorities and removing delivery obstacles.
• Influence strategy through collaboration with AI leadership, Product, Engineering, and Security.
• Balance innovation with scalability, reliability, security, and maintainability.
• Communicate effectively with technical and executive stakeholders.
• Foster operational excellence, continuous learning, customer obsession, and responsible AI.

Accessibility Notice: If you need reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to careers@codoxo.com with the subject "Accommodation". Reasonable accommodation requests will be considered on a case-by-case basis.

Benefits for You

• Health, Dental, and Vision insurance with 100% employee premium coverage (Starts Day 1)
• Unlimited PTO
• Annual Professional Development stipend
• Annual home office stipend
• 401K Match (after 90 days)

We are an Equal Opportunity Employer:

Codoxo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to 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. This policy applies to all terms and conditions of employment.