Lattice

Senior Software Engineer, AI role focused on building and scaling AI systems at Lattice. Responsibilities include designing and shipping an end-to-end AI evaluation framework, architecting reusable agent infrastructure (multi-turn conversations, RAG pipelines), and contributing to production AI systems with a focus on reliability and observability. The role requires strong Python engineering skills, experience with LLM-based systems, and a proven ability to build and operate agentic AI systems in production.

Senior Software Engineer, AI at Lattice, focused on building and scaling AI evaluation infrastructure and agent architecture. The role involves designing end-to-end evaluation frameworks, defining key metrics, building RAG pipelines, and contributing to production AI systems with a focus on reliability and observability. Requires strong Python engineering, experience with LLM systems, and production AI/ML systems.

Software Engineer, AI role focused on building and improving AI evaluation pipelines, production tracing, feedback systems, and AI system components like RAG and multi-step workflows. The role involves writing Python code, integrating with LLM providers, and supporting system reliability and observability. Experience with LLM concepts, backend systems, and cloud environments is required, with a strong interest in LLM-powered products.

Staff Product Manager to build the next generation of Lattice's AI-native product suite, focusing on trust-critical applications like performance reviews and compensation. The role requires owning new AI product areas from conception to adoption, designing systems that integrate data capture, AI synthesis, and user workflows, and defining standards for transparent, evidence-backed AI in a high-stakes environment. Requires strong product judgment, collaboration skills, and experience shipping LLM-powered products where AI-specific concerns were daily.

Staff Product Manager to build the next generation of Lattice's AI-native product suite, focusing on trust-critical applications like performance reviews and compensation. The role requires a blend of product building, AI-native instincts, and strong collaboration skills.