• Develop and Maintain: Focus on discovering, designing, developing, and maintaining SmithRx product features using a varied technology stack such as Golang, JavaScript/TypeScript, Node, GraphQL, and SQL (amongst others), while leveraging CI/CD to iterate quickly. • Collaborate on Design: Work with technical leads, senior engineers, and stakeholders to translate requirements into high-quality, AI-native software, actively contributing to technical design and scoping discussions. • Build the Stochastic/Deterministic Bridge: Help implement the "safety rails" around LLMs, writing deterministic software that effectively manages, validates, and wraps the stochastic nature of AI models to ensure accuracy in healthcare data. • Uphold Best Practices: Consistently apply software development best practices, design patterns, testing, and automation, utilizing emerging AI technologies like Claude-code, Copilot, or similar tools to accelerate development. • Leverage Cloud Infrastructure: Utilize AWS technologies, like Lambda, Managed Kafka, and EKS, to handle various types of jobs and batch processing. • Support Production: Troubleshoot production issues by participating in bug triage, assessing impact, and collaborating with the team to implement short-term mitigations and long-term root cause fixes. • Drive Team Excellence: Foster a collaborative learning culture by actively participating in code reviews, sharing knowledge, and exploring innovative technologies alongside the engineering team.

• Own end-to-end technical support for customers in your region across SambaRack, SambaStack, and SambaCloud • Serve as the regional support lead and primary technical point of contact for your customer base • Support customers in debugging machine learning models and resolving complex, full-stack computing environment issues • Participate in on-call rotations as required to ensure continuous coverage for production environments • Partner with the global support lead and other regional leads to maintain and continuously improve support processes and procedures • Coordinate with site reliability engineers to proactively reduce reactive customer issues • Coordinate with field service representatives to minimize the impact and duration of maintenance windows • Provide structured product feedback to engineering via Jira • Assist engineering by testing new features prior to release • Author and review internal and external knowledge base articles • Contribute to and review product documentation to ensure accuracy and completeness

Description Join Rimkus and unlock your potential with endless opportunities for growth, learning, and making a difference! Rimkus (www.rimkus.com) is a worldwide leader in Engineering and Technical Consulting. Rimkus experts specialize in building envelope engineering, forensic consulting, dispute resolution, construction management services, and solutions built for the environment. NOW IS THE TIME to join this growing and stable company!  We offer our full-time employees a competitive salary, bonus opportunities, and a comprehensive benefits package that includes medical, dental, vision, life, disability, employer-matching 401(k), and advancement opportunities!  Overview: We are seeking an Industrial Hygiene Consultant with a broad background to assist in evaluating and controlling a wide range of risks associated with occupational and public exposure to safety and health hazards (e.g., chemical, biological, and physical hazards). With the support of the Rimkus staff, you will manage, plan, coordinate, conduct, and complete investigations to address complex questions.

• Create and integrate AI agents to enhance the efficiency, productivity, and quality of VLSI design flows. • Collaborate on the design and implementation of algorithms and models that can optimize VLSI design processes. • Contribute to the development of software tools and frameworks that support the integration of AI in VLSI design. • Analyze and interpret data to identify patterns and insights that can inform the development of AI-driven design methodologies. • Stay ahead of the latest advancements in machine learning, deep learning, and VLSI build to continuously improve our solutions.