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Lead AI Engineer

SpringCube

Full time - Senior Engineer

Healthcare Services & Tech

United States, Boston - Massachusetts

Published 3 weeks ago

Salary: USD8,000 - USD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading healthcare organization is seeking a Lead AI Engineer to guide high-performing AI engineering teams. The company delivers innovative digital health solutions, combining advanced AI technologies with deep domain expertise to transform patient care and operational efficiency. This role provides a unique opportunity to influence AI strategy while mentoring talented engineers in a collaborative environment.

About the Role
The Lead AI Engineer will serve as a hands-on technical leader, guiding one or more AI engineering teams in building scalable, robust, and agentic AI solutions. This role combines technical expertise, mentorship, and strategic direction to ensure engineering excellence and high-quality delivery of AI products.

Responsibilities

  • Provide technical leadership and mentorship to a team of AI engineers, ensuring adherence to coding standards and best practices
  • Oversee solution design, leading the implementation of complex AI agent components, Generative AI integrations, and supporting infrastructure
  • Collaborate with Product Owners to refine technical requirements, estimate efforts, and drive timely delivery of AI features
  • Establish and enforce code review processes to ensure code quality, security, and maintainability
  • Troubleshoot complex technical problems and serve as the primary technical escalation point
  • Mentor and develop engineering talent through coaching and knowledge sharing
  • Evaluate new tools, libraries, and frameworks to enhance team efficiency and capabilities

Qualifications

  • Bachelor’s degree in Computer Science, Technology, or related field
  • 6+ years of hands-on experience with machine learning and deep learning frameworks (TensorFlow, PyTorch, scikit-learn)
  • 3+ years of experience developing agentic AI solutions, with strong knowledge of cloud platforms (AWS, Azure, GCP) and MLOps tools (Docker, Kubernetes)
  • Proven experience designing and implementing complex AI agent components and RAG architectures
  • Hands-on experience with AI model fine-tuning, performance optimization, scalability, and reliability in production
  • Excellent communication skills for collaboration with both technical and non-technical stakeholders
  • Experience conducting code reviews and leading knowledge-sharing sessions

Preferred / Standout Qualifications

  • Linux/Unix scripting experience
  • Multi-cloud experience across AWS, GCP, and Azure
  • Solution Architect Associate certifications, preferably in GCP or AWS

Minimum Education Requirements
High school degree or equivalent unless otherwise specified above

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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