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Staff AI Engineer
Location
Illinois + 1 moreAll locations: Illinois | Texas
Posted
228 days ago
Salary
$180K - $250K / year
Seniority
Lead
Job Description
Staff AI Engineer
Intelligent Medical Objects (IMO)
• 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.
