Staff AI Engineer - Remote

Overview

At IMO Health, we combine strengths in software development, artificial intelligence, and clinical expertise to create AI-driven solutions that enhance access to reliable health information, support clinical decision-making, and improve patient outcomes. We are seeking a Staff AI Engineer to join our Software Engineering team, with strong background in designing, building, deploying, and maintaining AI solutions in production, with an emphasis on software engineering principles.

In Short

• 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.
• Integrate large language models (LLMs), generative AI, and NLP solutions into IMO Health’s products.
• 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.
• Conduct and lead root cause analysis on defects, ensuring fixes are implemented correctly.
• Guide Agile teams on best practices across all SDLC activities.
• Champion technical standards and architectural alignment.

Requirements

• 8+ years of professional experience in software engineering, AI/ML engineering, or related roles.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 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.
• Solid hands-on experience with cloud platforms (AWS or Azure), containerization, and Infrastructure-as-Code.
• Experience with MLOps tools and workflows.
• Experience with CI/CD pipelines, automation, and monitoring.
• Working knowledge of NLP concepts.
• Excellent collaboration skills, working effectively with cross-functional teams.

Benefits

• Work on innovative AI technologies in the healthcare domain.
• Collaborate with a diverse team of experts.
• Opportunity for professional growth and development.
• Flexible working environment.
• Competitive salary and benefits.