AI/ML Engineer

Latitude; Portland (OR); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Latitude in Portland, OR is seeking an AI/ML Engineer to advance production GenAI, NLP, RAG and healthcare document processing. You will design scalable ML pipelines, deploy on AWS Bedrock/SageMaker, implement MLOps, and build secure, compliant data workflows.

The role supports hybrid or remote work, requires collaboration with product and operations, and travels to offices as needed. You will shape AI strategies that reduce costs, improve billing accuracy, and enable breakthrough healthcare

Qualifications

• Degree in Computer Science, Data Science, Engineering or related quantitative field.
• 5+ years delivering production ML/GenAI/Agentic solutions enterprise-wide.
• Experience combining OCR with NLP/LLMs to parse healthcare documents.
• Strong AWS experience (Bedrock, SageMaker, Lambda, ECS/EKS).
• Proficient in Python, PyTorch/TensorFlow, and modern GenAI frameworks.
• Experience deploying ML models as scalable APIs (Flask/FastAPI).
• Experience with IaC and CI/CD pipelines (GitHub Actions, CodePipeline).
• Familiarity with healthcare data structures (claims, EHRs, CPT/ICD, EDI feeds).
• Understanding HIPAA compliance and data handling.

Responsibilities

• Design and deploy ML/GenAI/Agentic apps on AWS Bedrock/SageMaker for billing, cost prediction, and document intelligence.
• Build production ML pipelines with OCR, NLP, RAG, and agentic workflows for complex medical claims.
• Establish end-to-end MLOps, automated testing, and CI/CD for ML models and AI services.
• Define and maintain secure cloud environments with IaC (AWS CDK/ Terraform).
• Leverage tools like GitHub Copilot to accelerate development and ensure high engineering standards.
• Develop APIs and microservices to integrate AI models with business applications.
• Collaborate with cross-functional teams to align AI with business goals.
• Implement explainability and governance for AI decisions.
• Ensure HIPAA/HITRUST/SOC 2 compliance in data handling.

Skills

GenAI

AWS Bedrock

SageMaker

Python

PyTorch/TensorFlow

MLOps

CI/CD

NLP

OCR/NLP/RAG

APIs

IaC

HIPAA compliance

Education

Bachelor's or Master’s in CS/DS

Master's preferred

Tools

Docker

Kubernetes

Flask/FastAPI

Terraform

AWS CDK

Job description

Brief 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.