Senior AI Engineer

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Extensive experience building and operating complex production software systems.
• Deep, hands-on experience designing and operating agentic AI systems in production, including autonomous tool use and multi-step workflows.
• Strong mastery of Model Context Protocol (MCP) or equivalent approaches, including defining standards and patterns used by others.
• Strong technical understanding of AI models, including:
• Model names, versions, and parameter scales
• Context window limitations and strategies
• System prompts vs. user prompts
• Trade-offs between models (latency, cost, reasoning quality, reliability)
• Experience with both frontier and open-source models, and making informed decisions between them.
• Proven experience scaling AI systems — latency, cost optimization, caching, parallelization, and model selection trade-offs.
• Demonstrated ability to take complex AI systems from prototype through production and sustain them over time.
• Strong judgment and ability to operate effectively in ambiguous problem spaces.

• Experience defining engineering standards, patterns, or platforms adopted by multiple teams.
• Experience shaping AI platform architecture or shared agentic frameworks.
• Familiarity with cloud-native, SaaS, or platform-oriented environments.
• Background in regulated, enterprise, or mission-critical systems.

At CodeNinja, we are an Equal Opportunity Employer. We value diversity and are committed to fostering an inclusive environment for all employees — regardless of nationality, gender, or background.