[Remote] Senior AI Engineer
Note: The job is a remote job and is open to candidates in USA. Abbott is a global healthcare leader that helps people live more fully at all stages of life. They are seeking a Senior AI Engineer to work on a Go-based medical device web application and a modern Software as a Service (SaaS) cloud platform aimed at enhancing user health. The role involves improving existing platforms, designing and implementing cloud-based services, and integrating AI capabilities into health-focused products.
Responsibilities
- Enhance and maintain our Go-based healthcare platforms, focusing on reliability, performance, security, scalability, and user experience
- Design, build, test, and deploy cloud-native SaaS services, APIs, and data workflows using Go and modern engineering practices
- Develop high-volume, low-latency distributed systems supporting a global healthcare platform
- Design and integrate AI capabilities, including model integrations, inference services, and evaluation workflows to drive advanced features and health insights
- Collaborate with internal and external partners to build secure APIs that enable compliant sharing and use of medical data
- Partner cross-functionally with product, quality, regulatory, security, DevOps, and engineering teams to deliver safe, scalable, and compliant medical device software
- Work with InfoSec to design and implement secure, standards-aligned solutions
- Write clean, testable, and maintainable code with strong test coverage
- Ensure performance, availability, and scalability through high-quality engineering and design practices
- Contribute to architecture and technical strategy, translating architectural goals into clear service boundaries, reusable patterns, and maintainable implementations
- Drive system improvements to align platforms with evolving architectural standards
- Build internal tools, automation, dashboards, and developer utilities to improve engineering productivity, operational visibility, and release confidence
- Document system design using diagrams, flowcharts, and technical specifications
- Participate actively in agile development, contributing to planning, development, testing, and delivery
- Lead technical discussions, design reviews, and code reviews to uphold engineering excellence
- Stay current with AI, cloud, healthcare, and software engineering trends, applying relevant innovations
- Demonstrate ownership, strong technical judgment, collaboration, and a commitment to continuous learning
Skills
- 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
- Experience with medical device software, digital health, wellness platforms, clinical applications, or regulated software development
- Familiarity with quality system practices, validation support, requirements traceability, risk-aware development, audit trails, and design documentation
- Experience with Kubernetes, Docker, Terraform, message queues, event-driven architectures, service observability, or platform engineering practices
- Exposure to MLOps, model versioning, monitoring, evaluation frameworks, retrieval-augmented generation, vector databases, or responsible AI practices
- Understanding of secure software development, privacy, access control, auditability, encryption, and responsible handling of health-related or sensitive user data
- Ability to mentor teammates through code reviews, documentation, knowledge sharing, and constructive technical feedback
Benefits
- Career development with an international company where you can grow the career you dream of.
- Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year
- An excellent retirement savings plan with high employer contribution
- Tuition reimbursement, the [Freedom 2 Save](https://www.abbott.com/corpnewsroom/strategy-and-strength/tackling-student-debt-for-our-employees.html) student debt program and [FreeU](https://www.abbott.com/corpnewsroom/strategy-and-strength/college-degree-for-free-its-possible-with-freeu.html) education benefit - an affordable and convenient path to getting a bachelor’s degree.
Company Overview
Company H1B Sponsorship