AI Platform Developer

Petal; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Flexible remote work

Hybrid work allowance

Group insurance from day one

Annual wellness allowance

Telehealth access

Paid vacation

Flexible hours

Job summary

Petal is seeking an Intermediate AI Platform Developer to join a team building the dedicated AI capabilities that enable product engineers to create, deploy, evaluate, govern, and operate AI agents safely and consistently. The role designs and ships production-grade platform services that other teams reuse, with a focus on secure, observable, and governed AI infrastructure.

The successful candidate will design, build, and operate platform services for multiple product teams, including agent

Qualifications

• Five or more years of hands‑on experience building and operating production SaaS products.
• Strong background in backend, platform, AI infrastructure, or agent infrastructure services.
• Experience designing distributed systems, APIs, cloud‑native services, and developer‑facing capabilities for internal teams.
• Hands‑on work with modern AI/LLM infrastructure such as agent orchestration, retrieval, tool calling, evaluation pipelines, Agent IAM, observability, model gateways, or responsible AI guardrails.
• Understanding of how to ship AI systems that are secure, observable, testable, governed, reliable, and cost‑aware in production.
• Ability to work through ambiguity, define technical direction, and convert platform concepts into usable services.

Responsibilities

• Design, build, and operate production-grade AI platform services reused across multiple product teams.
• Build components for agent orchestration, runtime execution, tool integration, lifecycle management, evaluation, observability, and governance.
• Create shared building blocks such as agent catalogs, workflow builders, Agent IAM, evaluation frameworks, prompt and configuration management, guardrails, retrieval services, and observability tooling.
• Produce reusable APIs, SDKs, templates, reference implementations, and documentation that lower the barrier for AI agent development.
• Partner with application teams to understand platform needs while keeping product-specific AI features with those teams.
• Define standards for deployment, monitoring, evaluation, access control, cost management, and responsible AI practices.
• Reduce duplicated AI agent infrastructure and mentor other developers on the platform.

Skills

Backend

Platform services

AI infra

APIs

Observability

Tools

Azure AI services

LangGraph

Python

Node.js

TypeScript

Job description

Role overview

The Intermediate AI Platform Developer joins a team building the dedicated AI capabilities that allow product engineers to create, deploy, evaluate, govern, and operate AI agents safely and consistently. The role designs and ships production-grade platform services that other teams reuse, with a focus on secure, observable, and governed AI infrastructure.

Responsibilities

• Design, build, and operate production-grade AI platform services reused across multiple product teams.
• Build components for agent orchestration, runtime execution, tool integration, lifecycle management, evaluation, observability, and governance.
• Create shared building blocks such as agent catalogs, workflow builders, Agent IAM, evaluation frameworks, prompt and configuration management, guardrails, retrieval services, and observability tooling.
• Produce reusable APIs, SDKs, templates, reference implementations, and documentation that lower the barrier for AI agent development.
• Partner with application teams to understand platform needs while keeping product-specific AI features with those teams.
• Define standards for deployment, monitoring, evaluation, access control, cost management, and responsible AI practices.
• Reduce duplicated AI agent infrastructure and mentor other developers on the platform.

Requirements

• Five or more years of hands‑on experience building and operating production SaaS products.
• Strong background in backend, platform, AI infrastructure, or agent infrastructure services.
• Experience designing distributed systems, APIs, cloud‑native services, and developer‑facing capabilities for internal teams.
• Hands‑on work with modern AI/LLM infrastructure such as agent orchestration, retrieval, tool calling, evaluation pipelines, Agent IAM, observability, model gateways, or responsible AI guardrails.
• Understanding of how to ship AI systems that are secure, observable, testable, governed, reliable, and cost‑aware in production.
• Ability to work through ambiguity, define technical direction, and convert platform concepts into usable services.

Nice to have

• Familiarity with the surrounding stack, including Azure AI services, LangGraph, Python, Node.js, TypeScript, Angular, semantic and vector search, RBAC, secrets management, and audit logging.

Benefits and work setup

The position offers flexible remote work within the constraints of the role, a recurring hybrid work allowance, a complete group insurance plan from day one, an annual wellness allowance, telehealth access, four to six weeks of paid vacation, and flexible hours.