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 Veeva
- 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.
We value your time and believe in a transparent hiring process. Here is the process you can expect.
Compensation
- 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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Skills Required
- 2+ years building and shipping production software used by real users
- Strong Python experience building asynchronous REST APIs
- Hands-on experience with FastAPI or equivalent async API frameworks
- Experience building at least one production agent or RAG application
- Practical understanding of embeddings, vector search, chunking, and prompting
- Comfort working across backend and React/TypeScript frontend development
- Working knowledge of SQL and PostgreSQL
- Confidence with Git-based team workflows
- Foundational AWS experience, including deployment, IAM roles, and containers
- Docker experience
- Strong written and verbal English
- Ability to work effectively in a fast-moving, fully remote team
- Experience with SQLAlchemy 2 async, asyncpg, and PostgreSQL
- Exposure to AWS Bedrock and agent frameworks such as LangChain or LangGraph
- Async Python and WebSocket or SSE streaming experience
- Frontend experience with React, TypeScript, Vite, and MUI
- Infrastructure as code using Terraform or CloudFormation
- CI/CD pipeline experience
- Observability tooling experience with CloudWatch, Grafana, or Prometheus
Veeva Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Veeva and has not been reviewed or approved by Veeva.
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Healthcare Strength — Health, dental, vision, and mental health coverage are provided alongside HSA/FSA options, with some locations adding fitness reimbursements or gym support. These offerings contribute to a comprehensive core healthcare package.
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Equity Value & Accessibility — Broad-based equity, RSUs/options, and an employee stock purchase plan are part of total rewards, with widespread participation noted across the company. In several roles, equity is considered a meaningful component that lifts total compensation.
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Parental & Family Support — Support includes maternity and paternity leave, adoption assistance, fertility benefits, childcare benefits, and family medical leave. These programs signal a family-friendly approach to time off and caregiving needs.
Veeva Insights
What We Do
Veeva is the global leader in cloud software for the life sciences industry. Committed to innovation, product excellence, and customer success, Veeva serves more than 1,000 customers, ranging from the world’s largest pharmaceutical companies to emerging biotechs. As a Public Benefit Corporation, Veeva is committed to balancing the interests of all stakeholders, including customers, employees, shareholders, and the industries it serves.
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