Software Engineer II, AI Enablement Team

Build cost observability and usage-tracking tooling across LLM and agent workloads
Design and ship internal tooling and guardrails for safe, productive agentic coding workflows
Evaluate AI tools, models, and vendors and produce build-vs-buy recommendations
Write and maintain production-quality code and automated tests
Review peers' code for correctness, readability, and maintainability
Own projects end to end from scoping through production rollout
Establish and socialise best practices for AI usage across the business

Requirements

2+ years of professional software engineering experience
Comfortable operating independently on unfamiliar codebases
Track record of owning and shipping mid-sized features or projects end to end
Experience building distributed data systems
Experience with feedback loops and measuring impact using metrics
Strong testing discipline
Experience improving CI/CD or developer tooling
Problem-solving focus rather than preference for a particular technology stack or language
Clear written and verbal communication
Generalist attitude toward learning and growth
Experience with LLM/agentic tooling, AI cost observability, or internal developer platforms is a bonus

Core Competencies

Demonstrates expertise in building cost observability and usage-tracking tooling for AI workloads, with a strong focus on writing production-quality code and establishing best practices for AI usage. Proven ability to own projects end to end, from scoping to production rollout, while maintaining a problem-solving mindset.

Highest-signal resume keywords

Software Engineering Experience
Distributed Data Systems
CI/CD Improvement
Testing Discipline
LLM/Agentic Tooling

ATS Optimization Keywords

Hard Skills

Production-Quality Code
Automated Testing
Code Review
Metrics Measurement
Feature Ownership
AI Cost Observability
Internal Developer Platforms
Feedback Loops
Tooling Design
Agentic Coding Workflows

Soft Skills

Clear Communication
Problem-Solving
Generalist Attitude

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