Staff AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 201-500Since 1993H1B No SponsorCompany SiteLinkedIn

Location

Illinois + 1 moreAll locations: Illinois, Texas

Posted

149 days ago

Salary

$180K - $250K / year

Bachelor Degree8 yrs expEnglishAWSAzureCloudDockerElastic SearchJavaKubernetesPythonSDLC

Job Description

• Collaborate with cross-functional teams to transition AI/ML models from prototypes into scalable, production-ready systems. • Lead system design and architecture discussions, bringing expertise in AI engineering, MLOps, and AI deployment best practices. • Write high-quality source code, including detailed documentation and high-level technical designs in collaboration with other engineers. • Develop and maintain AI-driven applications, ensuring high performance, scalability, reliability, and security, optimizing for latency, throughput, and cost. • Integrate large language models (LLMs), generative AI, and NLP solutions into IMO Health’s products, with a focus on unstructured clinical data. • Apply containerization (Docker, Kubernetes) and Infrastructure-as-Code to manage production environments. • Collaborate in an Agile environment with cross-functional teams, aligning technical solutions with product and business goals. • Implement creative solutions to technical challenges, applying out-of-the-box thinking to improve existing products. • Conduct and lead root cause analysis on defects, ensuring fixes are implemented correctly. • Guide Agile teams on best practices across all SDLC activities. • Mentor junior developers. • Champion technical standards and architectural alignment. • Advocate for defining and testing Non-Functional Requirements (Availability, Scalability, Reliability, and Maintainability). • Collaborate with team members while fostering trust, commitment, and accountability. • Drive discovery and minimization of technical debt, proactively addressing implications and consequences of technical decisions.

Job Requirements

  • 8+ years of professional experience in software engineering, AI/ML engineering, or related roles, building production-grade web applications.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
  • Strong foundation in computer science fundamentals, including data structures, algorithms, design patterns, operating systems, and networking.
  • Strong coding skills in Python or Java, with experience in software engineering best practices.
  • Experience in developing AI-powered applications, including LLM integration, prompt engineering, and agentic concepts.
  • Experience fine-tuning and deploying large language models (LLMs) and generative AI solutions in production.
  • Solid hands-on experience with cloud platforms (AWS or Azure), containerization, and Infrastructure-as-Code.
  • Experience with MLOps tools and workflows (e.g., MLflow, SageMaker, Kubeflow).
  • Experience with CI/CD pipelines, automation, and monitoring.
  • Working knowledge of NLP concepts (tokenization, embeddings, classification, sequence modeling) — healthcare domain exposure is a plus.
  • Experience working with Elasticsearch and vector databases for embedding-based search and retrieval.
  • Ability to translate business needs into optimal technical implementations while balancing technical debt and delivery speed.
  • Strong problem-solving mindset to handle complex technical challenges and make informed architectural decisions.
  • Experience in high-performance, scalable system design.
  • Excellent collaboration skills, working effectively with cross-functional teams including Product, Architecture, and Data Science.
  • Passion for AI technologies and innovation, particularly in applications for healthcare.
  • Excellent communication and collaboration skills in cross-functional, distributed teams.
  • Self-starter with the ability to work independently and contribute from day one.

Benefits

  • IMO Health offers a comprehensive benefits package. To learn more, please visit IMO Health’s Careers Page.

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