Senior Software Engineer – AI Platforms and Automation

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🔥 0 minutes ago

🌽 Illinois, Texas – Remote

🌽 Illinois – Remote 🤠 Texas – Remote

💵 $140k - $200k / year

⏰ Full Time

🟠 Senior

🤖 QA Automation Engineer

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Intelligent Medical Objects (IMO)

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1993

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

☁️ SaaS

💰 Venture Round on 2017-02

Artificial Intelligence • Healthcare Insurance • SaaS

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

• Own and enhance internal platforms • Maintain and enhance internally developed applications and tooling that supports terminology management, content creation, mapping, workflow automation, and content delivery. • Build and maintain integrations across internal applications, APIs, knowledge bases, databases, and AI services. • Contribute to the design and implementation of new automation and AI-enabled capabilities as business needs evolve. • Own operational support for AI-enabled applications and workflows in production, including troubleshooting, incident response, release coordination, and ongoing maintenance. • Manage application deployments, infrastructure configuration, monitoring, alerting, and operational support for AWS-hosted applications and services. • Investigate production issues, perform root-cause analysis, and implement durable solutions that improve reliability. • Support AI agents and workflow automation capabilities as they mature from pilot initiatives into scalable production solutions. • Develop and troubleshoot cloud-based workflows using AWS services such as Bedrock, Lambda, Glue, S3, IAM, CloudWatch, and MWAA/Airflow. • Implement testing, monitoring, and operational readiness practices that improve the quality and reliability of AI-enabled workflows. • Partner with clinical, terminology, product, data science, and engineering teams to improve AI-enabled workflows while maintaining appropriate human review and auditability. • Mentor team members and promote software engineering best practices for secure, maintainable, and production-ready systems.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical field; equivalent professional experience will also be considered. • 7+ years of professional experience in software engineering, backend engineering, platform engineering, DevOps, MLOps, cloud engineering, or a related discipline, including experience supporting production systems. • Strong proficiency in Python and experience building maintainable services, APIs, internal tools, jobs, or workflow automation in production environments. • Experience designing, deploying, and supporting cloud-based applications in AWS environments, including hands-on experience with services such as Amazon Bedrock, Lambda, S3, IAM, CloudWatch, Glue, MWAA/Airflow, or similar technologies. • Experience with CI/CD pipelines, Git-based development workflows, automated testing, configuration management, and release practices. • Experience with Docker, Kubernetes or other containerized services, Terraform or Infrastructure-as-Code, and production monitoring/alerting tools. • Experience with workflow orchestration, data pipelines, or job scheduling tools such as Airflow/MWAA, Glue, Lambda, cron-based jobs, or equivalent technologies. • Working knowledge of SQL and relational databases such as PostgreSQL; experience with distributed data or search systems is a plus. • Experience building or supporting AI-enabled applications using LLM APIs, retrieval-augmented generation (RAG), knowledge bases, AI agents, or similar technologies. • Strong troubleshooting skills, including production issue triage, root-cause analysis, log analysis, and implementation of durable solutions. • Ability to partner effectively with domain experts and translate workflow needs into practical, maintainable technical solutions. • Strong communication, documentation, and collaboration skills in cross-functional environments.

🏖️ Benefits

• Comprehensive benefits package • Potential bonuses, equity, or sales incentives