- Build AI features across the interface, services, APIs, and LLM layer.
- Develop the in-product AI agent, from prompt design through production evaluations.
- Build LLM pipelines using RAG, tool calling, agent orchestration, and evaluation.
- Create MCP integrations that connect the platform with customers' AI tools.
- Manage the speed, reliability, and cost of AI features, measuring latency and quality.
- Shape the AI-first roadmap and architecture with the CTO and product team.
- Establish coding-agent workflows, guardrails, and review norms for the team.
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