Staff AI Platform Engineer

Form Energy as a Staff AI Platform Engineer, where you will build a shared platform for AI-powered tools. As a hands-on senior individual contributor, you will design the application runtime, knowledge systems, agent infrastructure, and governance tooling.

You will collaborate with data engineers, software engineers, Information Security, and scientists, engineers, and operators. This is an exciting opportunity to shape how a fast-moving company with breakthrough technology and an incredible mission puts AI to work.

About Form Energy

A track record of building internal platforms that other teams adopt, and of independently leading the design of novel solutions through technical design docs and RFCs

Hands-on experience building LLM-powered systems in production, including retrieval-augmented generation, embeddings, vector and hybrid search, re-ranking, and structured-data access through text-to-SQL or semantic layers

Responsibilities

• Your work will span product R&D, design, manufacturing process engineering, product costing, and root cause analysis.
• Concevoir et construire une plateforme d'application interne permettant aux employés de créer et de déployer des applications générées par l'IA.
• Développer et exploiter une plateforme de connaissances centrale sur le contenu non structuré et les données structurées.
• Collaborer avec les équipes de R&D produit, de conception de batteries, d'ingénierie des processus de fabrication, de coût des produits et d'analyse des causes profondes.
• Experience building evaluation sets and harnesses for LLM systems and measuring quality, latency, and cost across model providers, including open-weight models

Requirements

• Strong production programming in Python and Go, with experience building APIs and backend services
• 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
• Excellent communication and organizational skills, including with scientists, engineers, and operators who aren't software developers, and comfort participating in an on-call rotation
• Experience with agent frameworks, tool calling, and the Model Context Protocol, and with workflow orchestration or state-machine frameworks such as LangGraph, Temporal, or Dagster
• Bachelor's degree in computer science, software engineering, computer engineering, or a related field plus 7+ years of software or data engineering experience, including building and operating production platforms or services that other engineers depend on

Preferred

• Working knowledge of platform and AI security: authentication and authorization (OAuth/OIDC), secrets management, sandboxed execution, tenant isolation, supply-chain scanning, and risks specific to LLM tools such as prompt injection and data exfiltration
• Experience with PostgreSQL and a cloud data warehouse, plus AWS, containers, CI/CD, and infrastructure-as-code with Pulumi and/or Terraform

USD 166,463 - 184,966