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Impart Security is building an AI-native runtime security platform that protects AI applications and infrastructure. This role is a full-stack engineer position focused on integrating AI agents throughout the platform and building security capabilities for the AI era.
You will use AI agents as core tools for exploration, debugging, code review, and code generation across a large polyglot monorepo. You'll help build the agent skills, subagents, and tooling that accelerate the entire team. Your responsibilities span the full stack: designing and building Go API services, PostgreSQL and ClickHouse data layers, OpenAPI-first REST APIs, and React/TypeScript web console features.
Key technical areas include:
- Designing backend systems that process and analyze high-volume security data with attention to data modeling, query performance, concurrency, reliability, and operational visibility
- Building AI-powered product capabilities on Claude, including agentic tool-use loops, AI-assisted rule generation, continuous false-positive analysis, and detection explanations with appropriate guardrails
- Extending the Impart MCP server so customers' AI agents can investigate threats, tune rules, and set up alerting through natural language
- Building evaluation pipelines and tools that measure AI outputs against ground truth for accuracy, latency, and cost
- Shipping features that secure AI itself: LLM and MCP traffic protection, prompt-injection detection, and AI asset discovery
- Deploying and operating cloud-native systems (Docker, Kubernetes, AWS, Pulumi) with strong observability
- Driving projects end-to-end from spec through build, test, deploy, measure, and iterate
You'll work in a collaborative, low-ego engineering culture that values curiosity, rigor, and technical excellence. In-person presence in San Francisco is preferred.
REQUIREMENTS:
- 2–5+ years of software engineering experience, or strong recent graduate with track record of shipping full-stack features from database to UI
- Strong proficiency in Go with solid experience in API design, relational data modeling, SQL, concurrency, performance, and production debugging
- Comfortable building product interfaces in TypeScript/React
- Hands-on experience building with LLMs: prompt design, tool use/function calling, structured outputs, embeddings, and evals
- AI-native workflow: daily use of agentic coding tools with judgment on when to trust tools versus dig in manually
- Experience deploying production software in cloud-native environments (Docker, Kubernetes, modern CI/CD, Terraform/Pulumi)
- Excellent collaboration and communication skills in fast-moving, low-ego culture
NICE TO HAVE:
- Experience with Claude Code, including authoring skills, subagents, hooks, or MCP servers
- Experience with Model Context Protocol (MCP) or AWS Bedrock
- Experience with ClickHouse or other columnar analytics databases
- Background in API/application security, bot protection, or observability tooling
- Familiarity with OpenAPI-first development and code generation
