The RoleVeeva Systems is the cloud software leader for the life sciences industry, building the platform that helps the world's largest pharma and biotech companies bring treatments to patients faster. The Commercial Tools team is building the next generation of services tools that our global services teams rely on every day, and we're building them best-in-class on a genuinely modern stack.
As a Services Platform Engineer you'll ship real, cutting-edge AI features to production fast - working shoulder-to-shoulder with a small, highly collaborative team that moves quickly and hands you real ownership from day one. You'll go deep across backend, frontend, cloud and applied AI, learn from engineers who know the craft, and build a career at the frontier of AI engineering - in an industry where the software you write helps get treatments to patients faster.
What You'll Do - Build best-in-class AI features end to end - RAG pipelines, agentic workflows and LLM apps on AWS Bedrock and Bedrock Knowledge Bases, like our CRM Helper on ECS Fargate - and ship them to production fast
- Design and ship async Python services (FastAPI, SQLAlchemy 2 async, asyncpg on Postgres 17) that stream live job progress to users over WebSocket/SSE
- Build and own features in our React/TypeScript portal that global services teams rely on every single day
- Take real ownership from day one - features are yours from design through deploy, with mentorship from engineers who know the craft
- Move fast and keep it solid: own the tests, CI and observability that let a small team ship confidently every day
- Range across the whole stack - backend, frontend, cloud (AWS) and applied AI - and go as deep as your curiosity takes you
- Learn the Veeva Vault and CRM platform APIs that power the life-sciences tools you're building
Requirements - 2+ years building and shipping real production software - you've put your work in front of real users
- Strong Python with hands-on experience building async REST APIs, FastAPI ideal (SQLAlchemy 2 async / asyncpg / Postgres a plus)
- You've built at least one real agent or RAG application and understand embeddings, vector search, chunking, and prompting in practice
- Comfortable across the stack - happy to jump into a React/TypeScript frontend as well as backend services
- Working knowledge of SQL / PostgreSQL and confident with Git-based team workflows
- Foundational AWS - you've deployed something and understand IAM roles and containers (Docker)
- Genuine curiosity for AI and hunger to learn new tech fast - you want to build a career at the frontier of AI engineering
- Strong written and verbal English, and you thrive in a fast-moving, fully remote team
Nice to Have - Exposure to AWS Bedrock and agent frameworks such as LangChain/LangGraph
- Async Python and WebSocket/SSE streaming
- Frontend experience with React, TypeScript, Vite and MUI
- Infrastructure-as-code (Terraform or CloudFormation) and CI/CD pipelines
- Observability tooling such as CloudWatch, Grafana, or Prometheus
Interviewing with VeevaWe value your time and believe in a transparent hiring process. Here is the process you can expect.
- Follow the application process and submit your resume.
- Within 3 days, you will receive a link to a personality assessment administered by a third party.
- Once you complete the assessment, our team will review your full application package and follow up via email with our decision.
- If moving to the interview stage, the process is as follows:
- A conversation with the hiring manager
- A practical case exercise
- A final conversation with our group's Senior Leader.
- Once all interviews are complete, the manager will be in touch with a final decision.
Perks & Benefits - Medical, dental, vision, and basic life insurance
- Flexible PTO and company paid holidays
- Retirement programs
- 1% charitable giving program
Compensation - Base pay: $90,000 - $150,000
- The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
#LI-RemoteUS #LI-AssociateVeeva's headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Work Where It's Best for You Work Anywhere means you can work in an office or at home on any given day. It's about getting the work done in the way and place that works best for each person. This applies across all locations and departments.
Work Anywhere does not mean work at any time. We have predictable core hours where employees are generally available for meetings and collaboration. Employees are focused and available during core hours.
We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Our offices function as hubs to draw people in, create social bonds, and where random connections and mixing of ideas happen. We're investing more in offices, culture, and offsite meetings, not less.
Product teams are organized in regional product hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly.
Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers.
When an employee moves within a country it does not cause a change in salary. Where you live impacts you and your family. Not knowing if your compensation will change if you move can cause stress and uncertainty for everyone. We wanted to eliminate that.
Work at Veeva. Work where it's best for you.
