Job Description Summary

As a Staff Software Engineer, You will be involved in designing, deploying, and operationalizing AI/ML services in production environments. You will be a key contributor in building and maintaining robust, scalable systems that support machine learning workflows, including Large Language Models (LLMs) and AI agent frameworks. This position requires deep expertise in MLOps, distributed systems, cloud infrastructure (particularly AWS), and modern software development practices. You’ll collaborate with cross-functional teams, drive outcomes by “thinking backward” from business objectives, and deliver impactful results under specific timelines.

GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

Job Description

Key Responsibilities:

• Architect and develop end-to-end ML solutions from data ingestion to model deployment, including Vision and LLM-based applications.

• Evaluate and select appropriate frameworks, libraries, and tools to meet both short-term project goals and long-term scalability.

• Set up and optimize CI/CD pipelines for ML models, ensuring continuous integration, testing, and deployment.

• Monitor, troubleshoot, and refine production ML systems for performance, cost-efficiency, and reliability.

• Leverage AWS services (e.g., EC2, S3, Lambda, SageMaker, EKS) to design and maintain scalable, secure, and cost-efficient ML infrastructure.

• Implement best practices for cloud resource allocation, scaling, and maintenance.

• Write clean, maintainable, and well-documented code in Python and other modern languages (e.g., Go, Java, or Rust).

• Develop and maintain distributed systems, focusing on reliability, fault tolerance, and performance.

• Work with databases (SQL/NoSQL) to handle large-scale data processing and storage.

• Collaborate on front-end projects using React/Next.js to build user interfaces or internal tools that interact with AI/ML services.

• Work closely with product managers, data scientists, DevOps engineers, and other stakeholders to define requirements and deliver high-impact solutions.

• Communicate technical decisions effectively, balancing trade-offs between short-term needs and long-term product vision.

• Operate with minimal supervision, proactively identifying issues and taking ownership to drive solutions.

• Manage multiple priorities in a fast-paced environment, and effectively escalate blockers to ensure timely delivery.

• Stay updated with emerging AI/ML technologies, LLM advancements, and best practices, sharing insights with the team.

• Adapt quickly to new domains, frameworks, and technologies as project needs evolve.
   

Qualifications & Requirements:

• Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with a minimum of 12+ years of professional software engineering experience, including distributed systems and databases.

• AWS (or other major cloud provider) with hands-on experience in deploying, monitoring, and scaling production services.

• Python (preferred) and proficiency in at least one other modern programming language (e.g., Go, Java, Rust).

• Excellent understanding of MLOps concepts, CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).

• Experience with SQL/NoSQL/Vector databases and data processing frameworks.

• Demonstrated knowledge of LLMs and prompt engineering.

• Familiarity with AI agent frameworks such as LangChain, AgentGPT, or similar.

• Experience with open-source ML tools and libraries (PyTorch, TensorFlow, scikit-learn, etc.).

​Desired Characteristics:

• Front-end development skills (React, Next.js) or familiarity with web frameworks.

• Excellent interpersonal and communication skills, with the ability to collaborate across diverse teams.

• Good problem-solving aptitude and a results-oriented mindset.

• Proven time management skills, ability to prioritize tasks, and meet tight deadlines.

• Self-starter who seeks out solutions independently but knows when to escalate for help.

Inclusion and Diversity

GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.

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Additional Information