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About the Role

Senior AI Engineers at Treasure AI lead the development of sophisticated AI features, owning LLM integrations, agentic workflows, and AI product experiences from design through production. You will own the AI product layer, working with Software Engineers to build the features that consume and deliver it. At this level, you define patterns for your pod and elevate those around you.

Responsibilities

• Lead the design and implementation of AI-powered features: LLM integrations, retrieval-augmented generation, agentic pipelines, and AI-augmented workflows.
• Own prompt engineering rigor — structure prompts systematically, evaluate outputs, iterate based on production signal, and document what works.
• Develop LLM integration patterns for the pod: streaming responses, function calling, context window management, fallback handling, and evaluation.
• Recommend the right AI approach based on understanding the AI solution space, knowing when to use prompting, RAG, fine-tuning, or agentic patterns.
• Contribute production-grade code in Ruby/Rails and TypeScript/React, maintaining a high bar for code quality.
• Use Claude Code and GitHub Copilot fluently, critically reviewing AI-generated code and assisting teammates.
• Work with the customer-facing agent platform to build, iterate, and deploy AI capabilities.
• Independently scope AI feature work within the team's 3-week delivery cadence, accounting for experimentation and evaluation.
• Own on-call shifts and develop operational instincts for AI systems in production, including latency, cost, routing, and data boundaries.
• Ship AI features iteratively, delivering a working version early and refining based on usage.
• Conduct deep code reviews on AI feature work, helping teammates reason about model behavior, prompt design, and integration robustness.
• Share LLM integration knowledge across the pod and contribute to cross-pod AI engineering discussions.
• Help peers grow their AI engineering skills through pairing, documentation, and structured feedback.
• Champion shared ownership of AI systems, avoiding knowledge silos.

Requirements

• 4–7 years of software engineering experience with significant focus on AI/ML features or LLM-powered product development.
• Strong proficiency in prompt engineering, LLM API integration, and building AI features that perform reliably in production.
• Experience with RAG, agentic workflows, or function-calling/tool-use patterns with language models.
• Experience making AI solution tradeoffs in production — choosing between prompting, RAG, fine-tuning, and agentic approaches based on real constraints.
• Solid full-stack skills in Ruby/Rails and TypeScript/React.
• Fluency with Claude Code, GitHub Copilot, and the customer-facing agent platform.
• Experience evaluating LLM outputs systematically — evals, test cases, production monitoring.
• Operational awareness of AI systems in production: latency management, cost at scale, multi-tenant routing, and customer data boundaries.
• Track record of meaningful code reviews that grow teammates' technical capabilities.

Skills

• AI/ML features
• LLM integrations
• Prompt engineering
• Retrieval-augmented generation (RAG)
• Agentic workflows
• Function calling
• Tool-use patterns
• Ruby/Rails
• TypeScript/React
• Claude Code
• GitHub Copilot
• Code reviews
• Systematic evaluation of LLM outputs
• Production monitoring
• Latency management
• Cost at scale
• Multi-tenant routing
• Customer data boundaries

Location

• Tokyo, Japan
• Mountain View, California (infrequent travel)

Work Type

• Hybrid (3 days in Tokyo office)
• Full-time

Experience Level

• Senior
• 4-7 years of software engineering experience

About the Company

• Treasure AI employees are passionate, data-driven, and customer-focused.
• We are a collective of drivers who take initiative, anticipate needs, and proactively work to solve problems.
• Our actions embody the values of integrity, reliability, openness, and humility.

Equal Opportunity

• We value and promote diversity, equity, inclusion, and belonging in all aspects of our business and at all levels.
• Success comes from acknowledging, welcoming, and incorporating diverse perspectives.
• We also strive to create an inclusive culture that encourages growth, ownership of your role, and achieving innovation in new and unique ways.
• Your voice will be heard, and we will help amplify it.