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Staff AI Platform Engineer
Form Energy. Build and operate the internal application platform for creating and deploying AI-generated applications .
Tech Stack
Tools & technologiesAWSCloudPostgresPythonReactSQLTerraformGo
About the role
Key responsibilities & impact- Build and operate the internal application platform for creating and deploying AI-generated applications
- Provide governed application access to the data warehouse and shared PostgreSQL cluster
- Build and operate a central knowledge platform over unstructured and structured data
- Own retrieval quality through semantic and hybrid search, re-ranking, chunking, classification, permissions, and evaluation sets
- Design and deploy shared MCP infrastructure with authentication, authorization, rate limiting, and audit logging
- Build MCP servers for applications, software services, and selected external tools
- Evaluate model selection and cost, including open-source, open-weight, and frontier models
- Reduce token usage through context management, caching, and model routing
- Build agent orchestration with multi-agent workflows, long-running loops, checkpoints, human review gates, and automated evaluation
- Partner with R&D, battery design, manufacturing, costing, and root cause analysis teams to automate repeatable work
- Instrument the platform with tracing, evaluation, usage, and cost attribution
- Stand up AWS infrastructure and infrastructure-as-code using Pulumi and/or Terraform
- Help establish a company-wide skills and plugin marketplace with AI-policy vetting and security scanning
- Advise on AI governance and automate policy execution
- Raise engineering standards through design docs, RFCs, code review, mentorship, and technical influence
Requirements
What you’ll need- 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 that other engineers depend on
- Strong production programming in Python and Go
- Experience building APIs and backend services
- 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
- Experience with agent frameworks, tool calling, the Model Context Protocol, and workflow orchestration or state-machine frameworks such as LangGraph, Temporal, or Dagster
- Experience building evaluation sets and harnesses for LLM systems and measuring quality, latency, and cost across model providers, including open-weight models
- 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, including OAuth/OIDC, secrets management, sandboxed execution, tenant isolation, supply-chain scanning, prompt injection, and data exfiltration risks
- Track record of building internal platforms adopted by other teams
- Track record of independently leading novel solutions through technical design docs and RFCs
- Excellent communication and organizational skills, including with scientists, engineers, and operators who aren't software developers
- Comfort participating in an on-call rotation
- Ability to work onsite at the listed work location at least 3 days per week
- Legally eligible to work in the United States
- Nice to have: React and design-system experience; Snowflake or Databricks; serving open-weight models; API or AI gateway experience; AI governance or compliance frameworks; background in battery, energy, manufacturing, or other physical-systems data
Benefits
Comp & perks- Competitive salaries
- Stock options
- Holistic benefits package
- 100% coverage of medical, dental, and vision premiums for full-time employees
- 80% coverage of healthcare premiums for dependents
- Healthcare coverage starts from day one
- At least 12 weeks of paid leave for new parents
- Up to 20 weeks of paid leave for birthing parents
- Generous vacation policies
- Relocation assistance