Platform Engineer - Commercial Services Tools

Team: Commercial Services - NA

Location: Massachusetts - Boston

Commitment: Full-Time

Workplace Type: remote

The Role

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

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.

Perks & Benefits

Medical, dental, vision, and basic life insurance
Flexible PTO and company paid holidays
Retirement programs
1% charitable giving program

Compensation

Base pay: $90,000 - $150,000
The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries 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 may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.

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