Design and build the core execution layer of an AI-driven product, covering runtime orchestration, tool integration, state handling and the reliability and evaluation work that lets it run in production.
Compensation
Base salary: USD 200,000 to 300,000 per year
Responsibilities
Build a runtime that coordinates model calls, tool invocations, retries, checkpoints and handoffs to people across long-running multi-step jobs.
Structure multi-step processes as graphs linking software agents, external tools and decision points so they can be traced and resumed after a failure.
Wrap external scientific engines, data stores and laboratory systems behind well-tested interfaces.
Create evaluation harnesses, tracing and regression suites that measure outcomes at the level of the end user's task.
Help model scientists build the data pipelines that record model runs and feed results back into training.
You will join a Research and Development (R&D) team that will give you the opportunity to make a global impact, protecting our way of life in the digital age by preventing successful cyber attacks.
Compensation
$90,000.00 - $147,500.00/yr
Responsibilities
Collaborate with cross-functional teams to design, develop, and deploy software solutions with agility and rapid iteration.
Use and experiment with AI-assisted development tools (e.g., Cursor, Claude Code) to boost productivity and improve code quality.
Help define and evolve new engineering practices that leverage AI for code generation, testing, documentation, and refactoring.
Write clean, maintainable, and well-documented code, and actively participate in peer reviews and team design discussions.
Contribute to the automation of development, deployment, and monitoring processes as part of a DevOps culture.
Requirements
Bachelor's degree in Computer Science, Software Engineering, Machine Learning, or a similar technical field
Elaborar y liderar el plan de trabajo técnico para implementar, desplegar, capacitar y estabilizar proyectos y mejoras en GCP, con reporting en Power BI.
Diseñar arquitecturas de datos escalables y seguras en BigQuery, Cloud Storage, Dataflow, Dataproc, Composer y Pub/Sub.
Definir estándares de modelamiento, calidad, observabilidad, CI/CD e IaC; gestionar documentación, pruebas y control de versiones.
Interactuar con usuarios, científicos de datos e ingenieros para priorizar requerimientos, desbloquear dependencias y mentorizar al equipo.
Resolver issues productivos en GCP y Power BI, optimizando performance y costo, coordinando escalamiento con proveedores cuando aplique.
Requirements
Profesional universitario en Ingeniería de Sistemas, Ingeniería de Software o carreras afines
The Analytics Analyst applies descriptive and prescriptive analytics to generate actionable insights from large-scale healthcare transaction data.
Compensation
At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $95,300 - $116,500 per year.
Responsibilities
Execute analytics workstreams under guidance, including data extraction, cleaning, feature creation, exploratory analysis, and results validation.
Build and maintain recurring reporting and dashboards that communicate key trends, performance signals, and product/customer insights.
Translate business questions into analytic tasks (metrics definitions, cohorts, time windows, segmentation) with support from senior teammates.
Attend and participate in product discovery for new products, supporting senior teammates and stakeholders as requirements take shape.
Explore available data sets and document their contents; build basic charts and prototypes so stakeholders can confirm what they need before development begins.
Requirements
Bachelor’s degree in data science, Statistics, Computer Science, Economics, Public Health, Epidemiology, Health Economics, or related field
