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Staff AI Engineer

1 day, 22 hours ago
United States
Full-time
Lead
AI Engineer
Software Development
AWS Azure CI/CD Docker Elasticsearch Generative AI Hugging Face Java Kubeflow Kubernetes LLM Microservices MLflow MLOps NLP Python PyTorch REST API SageMaker System Design TensorFlow
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Intelligent Medical Objects

Intelligent Medical Objects

IMO is a leading healthcare data enablement company with expertise in clinical terminology and precise data capture at the point of care, empowering informed decisions for improved patient care.

IT Services
251-1K
Founded 1994
View All Jobs

Description

  • Own the full ML lifecycle including data ingestion, training, validation, deployment, monitoring, retraining, and retirement.
  • Transition AI/ML prototypes into scalable, production-ready systems using CI/CD pipelines, automation, and observability.
  • Lead system design and architecture discussions and provide technical guidance on ML systems, MLOps, and AI infrastructure.
  • Develop and maintain AI-driven applications and inference services, optimizing for performance, scalability, reliability, and cost.
  • Integrate LLMs, generative AI, and NLP solutions into products, with a focus on unstructured clinical data and embedding-based retrieval.
  • Implement monitoring, alerting, logging, and dashboards to ensure model quality, detect drift, and maintain operational SLAs.
  • Build, maintain, and optimize CI/CD pipelines, automation scripts, and Infrastructure-as-Code for production ML systems.
  • Apply containerization (Docker, Kubernetes) and cloud infrastructure best practices to manage and operate production environments.
  • Mentor and guide engineers, enforce technical standards, and drive reduction of technical debt.
  • Conduct root cause analysis of production defects and implement durable fixes while advocating for non-functional requirements (availability, scalability, reliability, maintainability).

Requirements

  • 8+ years of professional experience in software engineering, AI/ML engineering, or related roles building and operating production-grade systems.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
  • Expert-level coding skills in Python or Java with strong production-quality software engineering practices.
  • Hands-on experience owning ML systems in production, including deployment, monitoring, retraining, and optimization.
  • Experience designing and operating CI/CD pipelines, automation, and observability for ML systems.
  • Deep experience with cloud platforms (AWS or Azure), containerization (Docker, Kubernetes), and Infrastructure-as-Code.
  • Experience with MLOps tools and workflows (e.g., MLflow, SageMaker, Kubeflow) and integrating/deploying LLMs, generative AI, and agentic systems in production.
  • Working knowledge of NLP concepts (tokenization, embeddings, classification, sequence modeling) and experience with Elasticsearch and vector databases for embedding-based search and retrieval; healthcare AI exposure is a plus.
  • Strong system design skills for high-performance, distributed, and scalable systems and solid computer science fundamentals (data structures, algorithms, OS, networking).
  • Excellent communication and collaboration skills, ability to mentor engineers, operate autonomously, and translate business needs into scalable, reliable technical solutions; familiarity with Hugging Face, PyTorch, TensorFlow and AWS Associate-level certifications (ML Engineer or Solutions Architect) are nice-to-haves.

Benefits

  • Base salary range $170,000–$240,000 per year (target for new hires; varies by experience and location)
  • Potential bonuses or sales incentives may be part of total compensation
  • Comprehensive benefits package (details available on IMO Health’s Careers Page)
  • Full-time position with remote work option (US-based; locations include Houston, Chicago, Rosemont)

Interested in this position?

Apply directly on the company website

Apply Now

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