TL;DR
Developer Support Engineer (AI): Troubleshooting and resolving complex technical issues for developers building LLM-powered applications with an accent on API and SDK integration. Focus on reproducing bugs, contributing code fixes, and documenting knowledge to improve the overall developer experience.
Location: Hybrid roles in San Francisco, New York, London, or Singapore; flexible for candidates open to matching these time zones.
Salary: £81,600 – £114,000 + Equity
Company
hirify.global is an AI observability platform that integrates evals and observability to help developers understand and improve AI production performance.
What you will do
- Diagnose and troubleshoot API and SDK integration issues using Python and TypeScript.
- Reproduce customer-reported bugs and collaborate with Engineering to implement fixes.
- Manage technical communication with developers via Slack and email.
- Create and maintain documentation to streamline support and unblock future issues.
- Identify product improvement opportunities and shape the technical roadmap based on customer feedback.
- Participate in on-call rotations to address critical issues.
Requirements
- 3-8+ years of experience in technical support or developer success roles.
- Proficiency in reading, debugging, and reasoning through Python and TypeScript codebases.
- Strong ability to learn and troubleshoot APIs, SDKs, and developer tools.
- Excellent communication skills for explaining complex technical concepts.
- Must be able to work in or collaborate during San Francisco, New York, London, or Singapore time zones.
Nice to have
- Experience with ML infrastructure, observability platforms, or prompt engineering.
- Familiarity with LLM APIs like OpenAI or Anthropic.
- Experience contributing PRs to production-grade backend or SDK code.
- Cloud certification or experience with containerized environments like Kubernetes.
Culture & Benefits
- Comprehensive medical, dental, and vision insurance.
- Competitive base salary and equity packages.
- Daily provided lunches, snacks, and beverages.
- Flexible time off policy.
- Dedicated AI stipend for personal learning and experimentation.
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