Requirements
What we're looking for
Debugging and Problem Solving:
Strong capability to diagnose, isolate, and fix complex production issues or performance bottlenecks methodically.
Automated Testing:
Proficiency in writing comprehensive unit, integration, and end-to-end tests to ensure high test coverage and robust deployments.
AI systems integration
Experienced in designing, implementing, and maintaining connections between software applications and modern AI/LLM systems. This includes hands-on experience working with LLM APIs (like OpenAI, Anthropic, or open-source models), prompt engineering, managing context windows, and utilizing orchestration frameworks (such as LangChain or LlamaIndex) to build intelligent, reliable features.
Security Hardening
Proven experience in identifying, mitigating, and protecting software applications and infrastructure from vulnerabilities. This includes hands-on practice with secure coding standards (OWASP Top 10), implementing robust authentication/authorization protocols, managing dependency vulnerabilities, and applying security controls (like data encryption at rest and in transit) to reduce the attack surface.
Quality Engineering Experience
This user should have experience with quality engineering.
AI tool skills
Want candidates who are exceptional at using ai coding tools.
About the role
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