AI Engineer - AI/ML

About the role

The successful candidate will play a pivotal role in advancing health optimization through advanced Generative AI solutions. Reporting to the Director of AI/ML Engineering, you will collaborate with cross-functional teams to design, develop, and deploy AI/ML and Generative AI models.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI models for predictive, prescriptive, and generative analytics across healthcare datasets
• Implement advanced architectures including Large Language Models (LLMs), agentic frameworks, and prompt engineering to automate complex workflows
• Build and optimize end-to-end pipelines using Python (Sci-kit Learn, Pandas, Flask, LangChain), PySpark, T-SQL and SQL
• Develop and fine-tune multiple GenAI models for NLP, summarization, prompt engineering, and conversational AI
• Apply MLOps best practices: model versioning, drift analysis, quantization, MLFlow, containerization with Docker, and CI/CD pipelines
• Integrate data warehousing solutions like Snowflake and manage large-scale data pipelines
• Collaborate in an Agile environment, participate in sprint planning, and maintain code repositories using GitHub/Git
• Ensure compliance with security and governance standards for healthcare data
• Coach and mentor junior team members
• Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

Requirements

• Bachelor's degree in CS or IT related field
• 5+ years of hands-on experience in AI/ML techniques like Prompt Engineering, RAG (Retrieval Augmented Generation) and Agentic AI
• 5+ years of experience and strong expertise in Python, PySpark, T-SQL, SQL, and big data technologies (Hadoop, Spark)
• 2+ years of experience in statistics, data modeling, and simulation
• 1+ years of experience with Generative AI frameworks/architectures (LangChain, HuggingFace, OpenAI APIs)
• 1+ years of experience with any one of the cloud technologies: Azure (Databricks, ML Studio), AWS Bedrock, Azure Foundry, Kafka, GCP, and cloud-native AI services
• 1+ years of experience with CI/CD pipelines, GitHub Actions, and containerization tools
• 1+ years of experience with LLM security, prompt engineering, and responsible AI practices

Preferred Qualifications

• Experience with LLMs (GPT, Gemini, LLaMA) and prompt-based learning
• Knowledge of Kafka, TensorFlow, and advanced deep learning architectures (CNNs, Autoencoders)
• Strong understanding of Agile methodologies and DevOps practices
• Internal Data management and big data handling experience
• Excellent problem-solving skills and ability to handle ambiguity

Benefits

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution

Pay and Schedule

• Salary range: $98,500 - $176,000 annually
• Telecommuting option available for candidates in the Minneapolis or Washington, D.C. area

Schedule

• Minimum of 4 days per week in-office for candidates in the Minneapolis or Washington, D.C. area
• Flexible telecommuting option for candidates in the U.S.

Qualifications

• Pass a drug test before beginning employment