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python kubernetes distributed systems go apis📋 Description
- Develop Go services that integrate with LLMs to automate risk workflows.
- Prototype rapidly with AI tools; turn experiments into production.
- Design prompts for risk classification, control mapping, policy interpretation.
- Build evaluation frameworks to measure LLM quality, hallucinations, determinism.
- Automate risk workflows (triage, remediation, exceptions) with internal systems.
- Improve prompt performance with iterative evaluation loops.
🎯 Requirements
- 2+ years building and operating production systems at scale in Kubernetes.
- Hands-on with Go and Python.
- Active use of AI-assisted coding tools (Cursor, Claude Code, Copilot).
- Comfort experimenting with LLM APIs (OpenAI, Anthropic).
- Experience with APIs and distributed systems.
- Strong problem solving and ability to work with minimal supervision.
🎁 Benefits
- Competitive salary and equity package.
- Comprehensive healthcare, dental, mental health benefits.
- 401(k) with company match and financial planning.
- Generous paid time off.
- Fitness reimbursements and employee stock purchase plan.
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