Staff AI Platform Engineer
Form Energy, Inc1 day ago
Base Salary
$129k - $185k/yr
Responsibilities
- Build and operate an internal platform for creating and deploying AI-powered applications with curated frontend and backend frameworks, templates, authentication, and secure deployment.
- Provide governed connectivity to the data warehouse and shared PostgreSQL application-state infrastructure.
- Build and operate a knowledge platform combining document retrieval, semantic and hybrid search, re-ranking, chunking, classification, source permissions, and structured-data access through semantic models and text-to-SQL.
- Design and deploy MCP gateway infrastructure and MCP servers with authentication, authorization, rate limiting, and audit logging.
- Evaluate and route models while reducing token usage through context management, caching, and cost controls.
- Build agent orchestration with multi-agent workflows, long-running loops, checkpoints, human review gates, and automated evaluation.
- Partner with business and technical teams to automate repeatable work using agent workflows that inform design and process decisions.
- Instrument the platform for tracing, evaluation, usage, cost attribution, AWS operations, and infrastructure-as-code deployment.
- Help establish a skills and plugin marketplace with AI-policy review and vulnerability scanning, and automate AI governance controls.
- Provide technical leadership through design documents, RFCs, code reviews, mentorship, and cross-team influence.
Requirements
- 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 used by other engineers.
- Strong production programming experience in Python and Go, including APIs and backend services.
- Production experience with LLM-powered systems, retrieval-augmented generation, embeddings, vector and hybrid search, re-ranking, and text-to-SQL or semantic layers.
- Experience with agent frameworks, tool calling, the Model Context Protocol, and workflow or state-machine frameworks such as LangGraph, Temporal, or Dagster.
- Experience building LLM evaluation sets and harnesses and measuring quality, latency, and cost across model providers, including open-weight models.
- Experience with PostgreSQL, a cloud data warehouse, AWS, containers, CI/CD, and infrastructure-as-code using Pulumi and/or Terraform.
- Working knowledge of authentication and authorization, OAuth/OIDC, secrets management, sandboxed execution, tenant isolation, supply-chain scanning, prompt injection, and data exfiltration risks.
- Demonstrated ability to build adopted internal platforms and independently lead novel technical solutions through design documents and RFCs.
- Excellent communication and organizational skills, comfort working with non-software specialists, and willingness to participate in an on-call rotation.
- Preferred experience with React, design systems, Snowflake, Databricks, vLLM, API or AI gateways, SOC 2, ISO 27001, AI governance, compliance frameworks, or battery, energy, manufacturing, or physical-systems data.
Benefits
- Hybrid work requiring at least three onsite days per week in Berkeley, California; Somerville, Massachusetts; or Weirton, West Virginia.
- Relocation assistance is available.
- Competitive salary, stock options, and a holistic benefits package.
- Form Energy covers 100% of medical, dental, and vision premiums for full-time employees and 80% of dependent healthcare premiums starting on day one.
- At least 12 weeks of paid leave for new parents, up to 20 weeks for birthing parents, and generous vacation policies.