Senior AI Engineer
$99,300–$198,700 year
Remote
Job Summary
Senior AI Engineer to design, implement, and scale Go-based medical device cloud services and SaaS applications. Focus on reliability, performance, security, and scalability; build cloud-native APIs and data workflows; integrate AI capabilities (model inference, evaluation, orchestration) to deliver health insights; collaborate with product, quality, regulatory, security, DevOps, and engineering teams to ensure compliant, maintainable software for healthcare devices. Responsibilities include writing clean, tested Go code; designing service boundaries and architecture; building internal tools and dashboards; advancing CI/CD and observability; maintaining security and regulatory standards; and staying current with AI/cloud trends.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
- 8+ years of relevant experience, or a Master’s degree with 6+ years of experience
- Hands-on experience with applied AI/ML concepts, including model integration, inference workflows, evaluation, feature engineering, prompt/model orchestration, or intelligent automation
- Strong backend engineering experience in Go, including APIs, concurrency, testing, and maintainable system design
- Experience designing and contributing to scalable, highly available, and observable system architectures
- Experience building and maintaining distributed systems, including asynchronous processing, messaging, and backend data workflows
- Strong experience developing and integrating RESTful APIs and microservices
- Familiarity with database technologies (e.g., SQL Server, PostgreSQL, or similar relational/NoSQL systems)
- Experience with cloud platforms and modern development practices, including CI/CD, containers, infrastructure automation, observability, and version control
- Solid computer science fundamentals and problem-solving skills
- Experience working in agile development environments
- Practical working knowledge of Linux systems
- Strong communication skills (written and verbal) and ability to collaborate across teams
- Demonstrated ownership, curiosity, and willingness to contribute beyond defined responsibilities
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