Senior AIML Engineer, Applications & Automation
Job Location:
Chicago, IL - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
- Develop machine learning models agents and automation workflows for terminology management content creation mapping and validation evolving them from experimentation into scalable production systems.
- Build agentic workflows that use LLMs tools APIs knowledge sources retrieval capabilities and structured business rules to complete complex tasks.
- Build and maintain retrieval-augmented generation solutions vector and semantic search capabilities and prompt and context-management strategies.
- Partner with our data science team to understand integrate and productionize their existing agents and bring your own model and agent development to the teams roadmap.
- Own the deployment monitoring troubleshooting and continuous improvement of AI workflows in production including root-cause analysis and durable remediation of failures or unexpected outputs.
- Design evaluation testing and observability practices for AI systems and 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 applying CI/CD containerization automated testing and secure development practices.
- Work closely with clinical mapping product data science and engineering partners to translate workflows into practical solutions and help define where AI automation is appropriate where deterministic logic is required and where human review must remain.
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 deployment versioning monitoring and CI/CD across multiple environments.
Strong Python proficiency and experience developing maintainable services APIs pipelines or workflow automation plus 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 and the ability to partner with domain experts and convert ambiguous workflow needs into scalable technical solutions.
Clear written and verbal communication in cross-functional environments.
LangChain or LangGraph LlamaIndex OpenSearch vector databases or evaluation frameworks.
Multi-agent or tool-using workflows including state management memory routing and failure recovery.
Testing and evaluation approaches for non-deterministic AI systems.
Healthcare technology clinical terminology clinical data normalization mapping workflows or regulated data environments.
Familiarity with healthcare data standards such as knowledge graphs FHIR SNOMED CT LOINC RxNorm ICD-10 or CPT.
AI solutions incorporating human review auditability explainability and quality governance.
Compensation at IMO Health is determined by job level role requirements and each candidates experience skills and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses equity or sales incentives which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process.
IMO Health also offers a comprehensive benefits package. To learn more please visit IMO Healths Careers Page.
Required Experience:
Senior IC
About Company
From clinical terminology to streamlined workflows to data standardization, we enable insights that help improve patient care across the healthcare ecosystem.
