We’re building a category-defining platform in the Information Security Compliance space — and AI is central to how we scale intelligence and automation across our customers’ GRC workflows.
As an AI Engineer, you’ll design and own the systems that power our AI features — from Retrieval-Augmented Generation (RAG) pipelines to LLM-based agents that take actions on behalf of users. You’ll collaborate with engineering, product, and design to bring intelligent workflows to life — all while keeping performance, observability, and security top of mind.
What you’ll do
- Lead the Technical Design & Development: Spearhead the creation and implementation of sophisticated AI features, utilizing state-of-the-art techniques and ensuring adherence to safety and ethical guidelines.
- Develop Agentic Solutions: Design and implement RAG pipelines, vector search integrations, and document indexing flows. Plan, build, and refine advanced agentic AI systems to solve complex problems and enhance user experiences.
- Drive Technical Excellence: Champion software engineering best practices, focusing on testability, security, scalability, and operability across the AI domain.
- Own the architecture, observability, and lifecycle of AI features — from experimentation to production
- Ensure Compliance: Uphold and contribute to the company's Information Security and Privacy standards (as defined in our InfoSec Policy) within all AI systems and processes.
- Collaborate closely with Product, Design, and the rest of Engineering to shape the AI roadmap
- Champion best practices around latency, cost-efficiency, security, and fallbacks
- Help build internal tools and frameworks to speed up AI feature development
- Stay up to date with advancements in LLMs, vector DBs, and agentic systems — and bring relevant ideas into the product
Our tech stack
- Core: Python, LangChain, LlamaIndex, pgvector
- Web & API: TypeScript, NodeJS, GraphQL, Hasura, Nhost
- Infrastructure & Ops: AWS, Azure OpenAI, Temporal, Terraform, NX monorepo
What you bring
- Proven AI Expertise: Demonstrated track record of successfully designing, building, and launching complex AI-powered applications and services into production environments.