Data Engineer (AI/ML)

Quick Facts

• Role: Data Engineering Analyst with AI/ML (Data Engineer with AI/ML)
• Work model: Remote within the U.S.; Minneapolis or Washington, D.C. hires require at least 4 days/week in the office
• Salary: $72,800–$130,000 annually (based on location, education, experience, certifications, etc.)

Description

Architect, build, and optimize intelligent data workflows for healthcare and insurance datasets using LLMs and advanced AI/ML techniques. Develop prompt engineering strategies, implement agentic frameworks, and support model development, evaluation, and fine-tuning for production systems with responsible AI principles.

Responsibilities

• Design and develop AI-driven solutions using LLMs to automate claims adjudication processes
• Build and optimize prompt engineering strategies for LLM-based applications
• Implement and integrate agentic frameworks to enable autonomous decision-making workflows
• Architect and deploy scalable data pipelines and AI workflows leveraging Python and related technologies
• Collaborate with cross-functional teams to ensure compliance with healthcare data standards and Responsible AI principles
• Contribute to model development, evaluation, and fine-tuning for production environments
• Mentor junior engineers and foster knowledge-sharing
• Work independently to deliver innovative solutions aligned with business objectives, emphasizing responsible AI use

Requirements

• Bachelor’s degree in CS or IT related field
• 5+ years hands-on experience in data engineering and backend automation
• 5 years experience with Python, PySpark (Databricks), T-SQL, SQL, and big data technologies (Hadoop, Spark)
• 5 years experience with ETL tools, workflow orchestration (Airflow), and data warehousing (Snowflake or similar)
• 1 year experience with one cloud technology: Azure (ML Studio), AWS, or Google Cloud Platform
• 1 year experience with CI/CD pipelines, GitHub Actions, and containerization tools (Docker)
• 1+ years experience with Agile methodologies and DevOps practices
• 6+ months experience with Generative AI frameworks/architectures (LangChain, HuggingFace, OpenAI APIs)
• 6+ months experience with AI/ML concepts including Generative AI, LLMs (GPT, Gemini, LLaMA), and prompt engineering

Benefits

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase and 401k contribution (subject to eligibility requirements)

Telecommuters must follow the company’s Telecommuter Policy. The workplace is drug-free and candidates must pass a drug test before employment.