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# Senior AI/ML Engineer

- **Company:** IDR, Inc.
- **Location:** Eagan, MN, United States (Remote available)
- **Experience:** Expert
- **Salary:** $156,000.0 - $162,240.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, BigQuery, Python (Programming Language), Machine Learning, Software Safety, Search Technologies, SQL Databases, Enterprise Data Management, Cloud Platform System, Large Language Models, Prompt Engineering, Generative AI, AI Platforms, Information Technology, Performance Monitor, Machine Learning Operations, Oracle Cloud Infrastructure
- **Published:** May 30, 2026
- **Apply:** https://www.juju.com/job/00000000g3jx20

## About the Role

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; 3+ years of relevant experience

 - Strong Python programming skills and experience with SQL

 - Hands-on experience building generative AI or RAG-based applications

 - Knowledge of large language models (LLMs), prompt engineering, embeddings, and semantic search

 - Experience with ML/NLP model development, evaluation, and performance monitoring

 - Familiarity with LLM evaluation metrics such as answer relevance, faithfulness, hallucination reduction, and citations

 - Experience implementing AI safety guardrails, content moderation, or escalation workflows

 - Proficiency with cloud platforms like GCP, AWS, or OCI, including tools such as Vertex AI, SageMaker, or BigQuery

 - Experience working with healthcare, claims, clinical, regulatory, or enterprise data is preferred

 - Strong communication skills and ability to collaborate with both technical and non-technical stakeholders

 - Optional: related certifications or coursework in Generative AI, MLOps, or cloud AI platforms

## Description

IDR is seeking a Senior AI/ML Engineer to join one of our top clients for an opportunity that is remote in the U.S. This role offers the chance to develop cutting-edge AI solutions that enhance healthcare applications, improving patient outcomes and enterprise workflows., Design, build, and deploy scalable generative AI and machine learning solutions tailored for healthcare and enterprise environments

 - Develop retrieval-augmented generation (RAG) pipelines, semantic search, and document ingestion workflows

 - Evaluate and monitor AI model performance, ensuring alignment with safety, accuracy, and relevance standards

 - Collaborate with cross-functional teams to integrate AI tools into user-facing applications and cloud-native platforms

 - Implement AI safety guardrails, content moderation, and escalation logic to ensure compliance and safety


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