Platform Engineer - Commercial Services Tools

Summary

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 involves developing Python services, React/TypeScript applications, AWS solutions, testing, CI, and observability.

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

Qualifications

Must Haves

• 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 Haves

• 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

• Medical, dental, vision, and basic life insurance
• Flexible PTO and company paid holidays
• Retirement programs
• 1% charitable giving program
• Remote work from home or in the office