Description As a Software Engineer at Verily, you will play a pivotal role in developing and enhancing products that are focused on the promise of precision health.
Verily Pre is a comprehensive, patient-centered platform that accelerates evidence generation for safer, more effective treatments and care decisions. Our cloud-first architecture, advanced analytics, and AI capabilities enable the collection, enrichment, and activation of petabytes of data, tailored to meet the unique needs of our partners. Pre’s Workbench solution provides a secure collaborative environment for data generators, research, and biopharma organizations to govern and analyze their data. Our software powers our customers in genomics research workflows, containerized AI development, and more.
The Platform Agents team is focused on delivering end-to-end agentic experiences to our Pre platform and Workbench solution users to empower and enable them to move quickly and safely in their healthcare and research work. Platform Agents drives an end to end experience, from the UI to harness to tools and model serving, alongside our other platform and AI squads.
Responsibilities - Work closely with the development team to design, develop, and deliver new full-stack agentic features across Verily Workbench and Pre Platform solutions.
- Collaborate cross-functionally to identify dependencies, coordinate delivery, communicate design decisions and define requirements.
- Come up with ideas to technical design problems, compare options, and propose solutions.
- Develop using industry-standard tools including Google Cloud, Langgraph, Go, React, Terraform, and Kubernetes.
QualificationsMinimum Qualifications
- BA/BS degree in Computer Science, Electrical Engineering, or equivalent practical experience in software development.
- 5+ years of experience as a software developer in an industry setting.
- 2+ years experience building ML or LLM-powered software.
- Experience with one or more general purpose programming languages including but not limited to: Java, C/C++, C#, Go, or Python.
Preferred Qualifications
- Demonstrated experience in LLMOps and designing and implementing cloud software built on AI frameworks like Pytorch, Langgraph/Langchain, Google ADK, etc.
- Experience building governance, observability, or auditability features into agentic systems.
- Education or exposure to healthcare or life sciences, with emphasis on HL7 FHIR or OMOP.
- Ability to work independently and collaborate effectively.
**Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States**
Compensation Information
The US base salary range for this full-time position is $156,000 - $176,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
