Senior AI/ML Engineer, Applications & Automation

🔥 12 hours ago

🌽 Illinois, Texas – Remote

🌽 Illinois – Remote 🤠 Texas – Remote

💵 $150k - $200k / year

⏰ Full Time

🟠 Senior

💻 Application Engineer

👻 Ghost score 0%

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Intelligent Medical Objects (IMO)

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1993

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 Venture Round on 2017-02

Healthcare • Consulting • Logistics

Intelligent Medical Objects (IMO) is a leader in transforming healthcare data by employing AI and rich medical terminology. With over 30 years in the field, IMO specializes in clinical terminology, coding, and mapping. They serve healthcare providers, life sciences, public health, and health information exchanges, among others. Their solutions enhance data quality management, standardize procedures, and unlock insights from clinical data through AI. Trusted by 98% of academic medical centers, IMO's products are pivotal in improving patient care, surgical scheduling, OR efficiency, and precision data management.

📋 Description

• Develop machine learning models, agents, and automation workflows for terminology management, content creation, mapping, and validation • Build agentic workflows using LLMs, tools, APIs, knowledge sources, retrieval capabilities, and structured business rules • Build and maintain retrieval-augmented generation solutions, vector and semantic search capabilities, and prompt and context-management strategies • Partner with data science to integrate and productionize existing agents and contribute model and agent development to the roadmap • Own deployment, monitoring, troubleshooting, and continuous improvement of AI workflows in production • Perform root-cause analysis and durable remediation of failures or unexpected outputs • Design evaluation, testing, and observability practices for AI systems • Implement controls for auditability, explainability, and human-in-the-loop review in clinically sensitive workflows • Develop cloud-based solutions using AWS services such as Amazon Bedrock, SageMaker, and Lambda • Apply CI/CD, containerization, automated testing, and secure development practices • Collaborate with clinical, mapping, product, data science, and engineering partners to translate workflows into practical solutions • Help determine where AI automation is appropriate, where deterministic logic is required, and where human review must remain

🎯 Requirements

• 5+ years across AI/ML engineering, data science, machine learning engineering, or related disciplines, with a foundation in applied machine learning • Hands-on experience building agents and agentic workflows, including orchestration and tool or function calling • Hands-on experience building RAG solutions, including embeddings, vector databases, semantic search, and context engineering • Hands-on MLOps experience taking models and agents into production, including deployment, versioning, monitoring, and CI/CD across multiple environments • Strong Python proficiency and experience developing maintainable services, APIs, pipelines, or workflow automation • Working knowledge of SQL and relational databases such as PostgreSQL • Experience with cloud-based AI infrastructure, preferably AWS and Amazon Bedrock • Strong troubleshooting and root-cause analysis skills • Ability to partner with domain experts and convert ambiguous workflow needs into scalable technical solutions • Clear written and verbal communication in cross-functional environments

🏖️ Benefits

• Comprehensive benefits package • Potential bonuses • Equity • Sales incentives