Platform Engineer - Commercial Services Tools
Summary
Services platform engineer at Veeva Systems building AI-powered internal tools for its global life-sciences services teams: RAG pipelines and LLM agents on AWS Bedrock, async Python/FastAPI backends on Postgres, and a React/TypeScript portal. Fully remote role based in Hungary.
Job Title: Platform Engineer - Commercial Services Tools
Job Location: Budapest, Hungary
Job Location Type: Remote
Job Contract Type: Full-time
Job Seniority Level:
The Role
- 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:
- 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.
- 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.
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