Artificial Intelligence Engineer

We’re hiring an AI Engineer to help us build and scale intelligent systems in production.

About the Role

Design, build, and productionize AI agents that automatically detect, fix, and validate vulnerable software components.

Responsibilities

Develop infrastructure to support agent operations at scale, including context management, orchestration, and evaluation

Create agentic workflows that enable multiple agents to collaborate and reason jointly

Build internal tools and utilities for agents (e.g., image inspection, diff generation, static analysis)

Implement evaluation frameworks to measure agent reliability, accuracy, and performance

Develop hybrid and vector-database applications for retrieval and context management

Build and integrate AI-driven systems such as MCP-based services, chat interfaces, and standalone agent tools

Instrument all experiments with tracing, observability, and structured metrics for reproducibility

Qualifications

5+ years of hands-on software engineering experience, preferably with AI-driven products or infrastructure

Required Skills

Strong Python proficiency for backend systems, tooling, and AI integration

Solid foundation in backend engineering, infrastructure, and cloud environments

Proven experience working with LLMs and AI agents in applied, production settings

Familiarity with frameworks and tools such as LangGraph, LangChain, OpenAI, Claude Code, and Cursor

Strong understanding of Docker and containerized development workflows

Experience designing or orchestrating multi-agent systems or agentic workflows

Understanding of context management, prompt/tool/validation loop design

Preferred Skills

Experience with Go, especially for rebuilding binaries or low-level utilities

Familiarity with Argo, Kubernetes, or similar orchestration systems

Background in evaluation frameworks or agent performance measurement

Experience with code-focused AI agents, developer tools, or AppSec/security automation

Knowledge of vector databases, RAG pipelines, and graph-based context construction

Understanding of DevSecOps, AppSec, or software supply chain security