AI/ML Engineer

WellRithms, Inc.; United States; Hybrid; USD 160,000 - 180,000; Full time

Job summary

WellRithms, Inc. is seeking an AI/ML Engineer to design and deploy production GenAI solutions for healthcare billing and claims processing. You will leverage AWS Bedrock, SageMaker, OCR, NLP, RAG and agentic frameworks to build scalable ML pipelines, APIs, and secure cloud environments.

Hybrid or remote work is available for US-based candidates, with potential onsite days as needed. Strong background in production ML and data security is essential.

Qualifications

• Bachelor's or Master's in a quantitative field.
• 5+ years building production ML/GenAI solutions.
• Deep knowledge of OCR/NLP/LLMs and healthcare data handling.
• Proficient in Python, AWS, Docker, Kubernetes; CI/CD experience.
• Authorized to work in the United States without sponsorship.

Responsibilities

• Design, build, and orchestrate ML, GenAI, and Agentic AI apps (AWS Bedrock, SageMaker).
• Develop scalable ML pipelines with OCR, NLP, RAG, and agentic workflows.
• Establish MLOps standards and CI/CD for ML models and services.
• Manage IaC for secure cloud environments (CDK/Terraform).
• Create APIs and microservices to integrate models with business apps.
• Collaborate with cross-functional teams to align AI solutions with goals.
• Ensure AI explainability, traceability, and HIPAA-compliant data handling.

Skills

Python programming

Problem solving

Independent work

Cross-functional collaboration

Education

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field

Tools

AWS Bedrock

SageMaker

Lambda

ECS/EKS

Docker

Kubernetes

Terraform

GitHub Actions

Flask / FastAPI

Python ML frameworks (PyTorch/TensorFlow)

Job description

Interested in working with us at WellRithms? Apply today!

• Location Remote - United States
• Base Pay $160,000.00 - $180,000.00 / Year
• Job Category Artificial Intelligence, Machine Learning, Data Science
• Employee Type FT Exempt
• Required Degree 4 Year Degree

Contact information

• Email [e-mail]

Description

Our Ideal Candidate

We are looking for a AI/ML Engineer who wants to leverage cutting-edge artificial intelligence -including Generative AI, LLMs, and modern Agentic frameworks-to fix a broken healthcare system. The ideal candidate possesses a strong foundation in production machine learning, deep experience with cloud-native GenAI architectures (specifically on AWS), and a proven track record of working with sensitive healthcare data. You thrive in a high-impact, collaborative environment where you will design and deploy scalable AI-driven solutions that automate complex billing workflows, detect fraud, extract insight from unstructured claims, and power our next generation of AI products.

This role is eligible for a hybrid or remote work arrangement. Candidates located near the company office may be expected to work onsite up to 2 days per week. Remote employees may be required to travel to an office location based on business needs. This role reports to the Vice President of Artificial Intelligence.

Responsibilities

• Design, build, and orchestrate Machine Learning, GenAI, and Agentic AI applications leveraging foundational models (via AWS Bedrock, SageMaker) for automated billing, cost prediction, and document intelligence.
• Design and build production-grade, scalable Machine Learning (ML) pipelines integrating Optical Character Recognition (OCR), Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and agentic decision-making workflows to process complex medical claims and unstructured data.
• Establish end-to-end MLOps standards, automated model testing, and robust CI/CD pipelines for automated build, test, and release cycles of both ML models and AI services.
• Define, provision, and maintain secure cloud environments for AI/ML services using Infrastructure as Code (IaC) tools such as AWS CDK or Terraform.
• Leverage modern AI-assisted development tools (such as GitHub Copilot or Kiro) to accelerate code generation, optimize Python queries, auto-generate documentation, and maintain high engineering standards.
• Develop APIs and microservices to enable seamless integration of ML/AI models into existing business applications.
• Collaborate with cross-functional teams (product, technology, operations, etc.) to align AI solutions with business goals.
• Implement techniques to improve transparency in AI decision-making, ensuring traceability and model explainability.
• Ensure compliance with healthcare data regulations (e.g., HIPAA, HITRUST, SOC 2, etc.).

Qualifications

• Bachelor's or Master's (preferred) degree in Computer Science, Data Science, Engineering, or a related quantitative field.
• 5+ years of hands-on experience building, deploying, and maintaining production ML, GenAI, and Agentic solutions enterprise-wide for business applications.
• Deep practical knowledge of combining OCR engines (e.g., AWS Textract) with NLP, LLMs, VLMs, and AI foundational models to parse, structure, and query complex healthcare documents.
• Proven expertise within the AWS ecosystem (AWS Bedrock, SageMaker, Lambda, ECS/EKS) and proficiency in Python, PyTorch/TensorFlow, and modern GenAI and Agentic frameworks (e.g., Strands Agents, AgentCore, Kiro, etc.).
• Strong foundation in algorithm design, data structures, containerization (Docker, Kubernetes), and ability to deploy ML models as scalable APIs using Flask, FastAPI, or similar frameworks.
• Strong hands-on experience using Infrastructure as Code (IaC) tools like AWS CDK or Terraform to manage cloud infrastructure, paired with practical experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, AWS CodePipeline, etc).
• Experience working with healthcare data structures (e.g., insurance claims, EHRs, medical billing coding like CPT/ICD, or EDI 837/835 feeds).
• Strong understanding of HIPAA compliance, data masking, secure prompt/data handling, and AI safety guardrails.
• You are intellectually curious, obsessed with measurable business impact, and naturally inclined to build better solutions.
• Strong problem-solving skills and the ability to work independently.
• Must be authorized to work in the United States without current or future company sponsorship.