Staff Software Engineer, AI

Lattice is a company that builds software to help people and organizations thrive. They are seeking a Staff Software Engineer to architect and scale AI infrastructure, ensuring quality, reliability, and performance across their platform.

Responsibilities:

• You will architect and scale the infrastructure that powers AI quality, reliability, and reuse across Lattice
• Design and scale an end-to-end AI evaluation framework spanning offline evals, production tracing, and human feedback loops
• Define meaningful performance metrics (task completion, hallucination, response quality, engagement, business impact) and build the datasets and automated scoring systems that prevent regressions
• Identify and quantify the drivers of agent quality improvement and set methodological standards for evaluation across the organization
• Architect reusable agent infrastructure (multi-turn workflows, LLM DAGs, recommendation systems, standardized topologies) using LangGraph or comparable frameworks
• Build and scale RAG pipelines, vector retrieval systems, and production-grade AI infrastructure with strong reliability, observability, and performance
• Make principled build-vs-buy decisions across LLM providers, agent frameworks, and evaluation tooling, balancing capability, cost, latency, and risk
• Engineer AI systems as reusable internal platforms that multiply product engineering velocity at Lattice
• Own projects end-to-end: scope, design, execution, and delivery
• Set technical direction for agent quality and evaluation strategy across Lattice engineering teams
• Lead rigorous discussions on AI system design and evaluation methodology
• Raise the AI engineering bar through mentorship, code review, and clear technical communication across engineering and leadership