Rational Dynamics

Infrastructure Engineer

• Own, extend, and improve cloud infrastructure that powers both production customer systems and internal research platforms, including compute, networking, storage, and deployment environments
• Build and maintain CI/CD pipelines, developer tooling, and observability that keep the team shipping fast and catching problems early
• Support GPU workloads and ML infrastructure needs in close collaboration with the research & ML team
• Drive security posture and compliance efforts, including standards relevant to enterprise customers such as SOC 2
• Build deployment and operations infrastructure that enables Forward Deployed Engineers to reliably build solutions quickly in heterogeneous enterprise cloud environments
• Make pragmatic, well-reasoned infrastructure decisions that balance speed now with scalability later
• Continuously improve system reliability, deployment simplicity, uptime, and cost efficiency through monitoring, feedback loops, and disciplined engineering

Senior Infrastructure Engineer

Machine Learning Engineer

• Own, extend, and improve production ML systems: training pipelines, evaluation frameworks, model serving infrastructure, and monitoring.
• Optimize models for latency, cost, and reliability with a bias toward correctness in environments where errors are not recoverable
• Translate research experiments into production-grade capability that solves real customer problems
• Design and maintain evaluation and testing infrastructure to enable fast, high quality research and deployment
• Integrate third-party model APIs and LLM orchestration frameworks into the platform
• Support the deployment of agents into complex, high-stakes enterprise environments
• Continuously improve system performance through disciplined benchmarking and iteration

Senior Machine Learning Engineer

Engineer

• Collaborate with customers and researchers to thoroughly understand business objectives and technical constraints
• Lead the technical implementation of customized large reasoning models and related AI systems, including prototyping, deployment, and monitoring
• Deliver high-quality code and documentation meeting the highest engineering standards
• Continuously improve the RD system design and deployment process
• Provide targeted training to clients, including non-technical stakeholders

Forward Deployed Engineer

Full-stack Engineer

• Own, extend, and improve production full stack systems (frontend interfaces, APIs, and backend services): training pipelines, evaluation frameworks, model serving infrastructure, and monitoring. Focus on delivering reliable capability to customers
• Optimize application performance, reliability, and user experience with a bias toward correctness in environments where errors are not recoverable
• Translate product requirements into production-grade application features that solves real customer problems, as an embedded member of the research & ML team
• Design and maintain testing, observability, and monitoring infrastructure across the stack to enable fast, high quality research and deployment to enable Rational Dynamics to move quickly, and deliver a high quality product with confidenceIntegrate third-party model APIs and LLM orchestration frameworks into the platform
• Support deployment of full stack features in complex enterprise environments
• Continuously improve system performance through disciplined benchmarking and iteration

Senior Full Stack Engineer

Executive Assistant

• Support multiple C-Suite executives at a fast-moving tech startup.
• Own operational initiatives and exercise high-judgment decision-making.
• Act as a strategic extension of the executives.
• Anticipate executive needs and proactively drive solutions.
• Manage complex executive calendars and coordinate on-site meetings.
• Facilitate external meetings with clients, partners, and other key stakeholders.
• Coordinate domestic and international travel.
• Lead project management and liaise with stakeholders across the organization.
• Handle confidential and sensitive information with the highest level of discretion.

Senior Infrastructure Engineer

Senior Machine Learning Engineer

Forward Deployed Engineer

Senior Full Stack Engineer

Executive Assistant – Start-up C-Suite