AI Engineer [gn] (Agentic AI & Automation)

Autonomous Agent Architecture: Design and build multi-agent AI systems capable of self-planning, reflection, and executing complex, multi-step workflows without human intervention.

AI-Driven Coding Automation: Build and integrate advanced AI coding agents into our internal SDLC to automate code generation, script refactoring, and automated code reviews.

Intelligent Test Automation: Develop AI agents that can look at code changes, understand the context, and automatically generate, run, and fix integration and end-to-end tests.

Automated Incident Triage: Build agentic workflows that monitor production logs, identify platform anomalies, and autonomously execute initial triage, root-cause analysis, and patch recommendations.

Tool & API Integration for Agents: Create robust function-calling architectures and tool-use layers, allowing AI agents to securely interact with our databases, APIs, and git repositories.

Agent State and Memory Management: Implement advanced state machines and memory persistence frameworks to ensure agents maintain context and recover gracefully during long-running tasks.

Safety & Execution Guardrails: Build strict deterministic guardrails around autonomous agents to prevent infinite loops, toxic outputs, or unauthorized code execution in production environments.

Rapid Automation Prototyping: Constantly identify manual bottlenecks in engineering and product operations, building quick agentic prototypes to automate them away entirely.

Technical Background: Strong software engineering roots (Python, Go, or Java) with a massive pivot into agentic frameworks and autonomous software systems.

Agentic Framework Expertise: Deep, hands-on experience building with advanced agent frameworks (such as LangGraph, CrewAI, AutoGen, or custom-built agent loops). You must deeply understand concepts like ReAct, Plan-and-Solve, and multi-agent collaboration.

AI Coding Power-User: You have a proven track record of using and building custom AI development tools. You know how to maximize developer velocity using advanced prompting, repository-level context indexing, and automated workflows.

Obsession with Automation: You hate repetitive tasks. Your first instinct when seeing a manual engineering process (like writing test cases or triaging logs) is to build an AI agent to do it for you.

Pragmatic Builder: You care about execution and reliability. You know how to make inherently non-deterministic agents behave reliably in an enterprise software environment.

Communication: Exceptional English skills (written and spoken) to collaborate with engineering teams and show them how to adopt your automation tools.