Platform Engineer - Commercial Services Tools

Veeva 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.

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

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

We 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:

1. A conversation with the hiring manager
2. A practical case exercise
3. A final conversation with our group's Senior Leader.

Once all interviews are complete, the manager will be in touch with a final decision.

Total compensation: 14,000,000 - 24,000,000 HUF

The total compensation range listed here has been provided to comply with local regulations and represents a potential total compensation range for this role. Please note that actual total compensation 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's total compensation may be composed of other types of compensation, such as variable bonus and/or stock bonus.