Note: The job is a remote job and is open to candidates in USA. Veeva Systems is a cloud software company serving the life sciences industry. The Platform Engineer will build and ship AI-powered commercial services tools across backend, frontend, cloud, and applied AI, while owning features from design through deployment. The role also involves developing async Python services, React/TypeScript features, testing, CI, observability, and integrations with Veeva Vault and CRM APIs.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
- Medical, dental, vision, and basic life insurance
- Flexible PTO and company paid holidays
- Retirement programs
- 1% charitable giving program
- This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
Company Overview
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