Senior Remote AI Platform Engineer

b.well Connected Health; United States; Remote; USD 175,000 - 225,000; Full time

Job summary

b.well is building an AI-powered engineering platform in the United States to accelerate delivery without compromising quality, security, or reliability. You will own the internal AI developer platform used by multiple engineering teams, focusing on agentic workflows and cost-conscious tooling.

You will work closely with the Staff Engineer to set technical direction and ensure that AI-native paths are dependable, measurable, and safe at scale.

Qualifications

• Experience building and operating internal tools or services used across teams.
• Built and shipped at least one agentic or LLM-powered workflow used by engineers.
• Measured and improved AI workflows with data, samples, or review data.
• Strong security judgment: least privilege, sandboxing, and approval gates.

Responsibilities

• Build and operate the internal AI developer platform as a product for engineers.
• Design and ship agentic workflows across the SDLC from prototype to production.
• Build and maintain tools agents use (e.g., MCP servers, tool schemas, reusable skills).
• Improve context handling (retrieval, indexing, session focus, and accuracy).
• Instrument token spend, budgeting, and cost dashboards; manage guardrails and permissions.

Skills

Internal tools

Agentic workflows

CI/CD & observability

Security awareness

Tools

AWS

Kubernetes

OpenTelemetry

Python

TypeScript/Node.js

Java

MCP servers

Job description

b.well is building an AI-powered engineering platform in the United States to accelerate delivery without compromising quality, security, or reliability. You will own the internal AI developer platform used by multiple engineering teams, focusing on agentic workflows and cost-conscious tooling.

You will work closely with the Staff Engineer to set technical direction and ensure that AI-native paths are dependable, measurable, and safe at scale.