Staff AI Platform Engineer

The role

You will build and operate a shared internal platform for creating and deploying AI-powered tools. This role involves designing application runtimes, knowledge systems, agent infrastructure, and governance tooling for various company teams.

What you will do

• Build and operate the internal application platform for AI-generated applications
• Give applications governed access to data and a shared Postgres cluster
• Build and operate a central knowledge platform over unstructured and structured data
• Design and deploy shared MCP infrastructure including a gateway layer
• Own model selection and cost management
• Build the agent orchestration layer including multi-agent workflows
• Partner with R&D, battery design, and manufacturing teams to automate work
• Instrument the platform with tracing, evaluation, and cost attribution
• Stand up AWS infrastructure and infrastructure-as-code
• Help stand up a company-wide skills and plugin marketplace

Required qualifications

• Bachelor's degree in computer science, software engineering, computer engineering, or a related field
• 7+ years of software or data engineering experience, including building and operating production platforms or services
• Strong production programming in Python and Go
• Experience building APIs and backend services
• Hands-on experience building LLM-powered systems in production
• Experience with retrieval-augmented generation, embeddings, vector and hybrid search, re-ranking, and structured-data access
• Experience with agent frameworks, tool calling, and the Model Context Protocol
• Experience with workflow orchestration or state-machine frameworks such as LangGraph, Temporal, or Dagster
• Experience building evaluation sets and harnesses for LLM systems
• Experience with PostgreSQL and a cloud data warehouse
• Experience with AWS, containers, CI/CD, and infrastructure-as-code with Pulumi and/or Terraform
• Working knowledge of platform and AI security

Nice to have

• React and design-system experience
• Snowflake or Databricks
• Serving open-weight models (for example with vLLM)
• API or AI gateway experience
• AI governance or compliance frameworks (SOC 2, ISO 27001)
• Background in battery, energy, manufacturing, or other physical-systems data

Benefits

• Competitive salaries
• Stock options
• 100% medical, dental, and vision premiums for full-time employees
• 80% healthcare premiums for dependents
• At least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents)
• Generous vacation policies

About the company

Form Energy is an American manufacturing and energy technology company. They are developing cost-effective, multi-day energy storage technology to secure the electric grid.