Software Engineer, AI Agent & LLM

Responsibilities

• Build AI-agent experiences for Otter AI Chat that help users reason over conversations, retrieve knowledge, and complete complex tasks.
• Advance Otter’s conversational knowledge engine through better knowledge extraction, annotation, and indexing.
• Develop robust evaluation datasets, automated graders, regression tests, and release gates for AI quality.
• Diagnose failures across models, prompts, retrieval, tools, data pipelines, backend services, and product workflows.
• Build shared agent infrastructure for orchestration, tracing, debugging, retries, sandboxed execution, and observability.
• Improve task completion, correctness, groundedness, reliability, latency, and cost.
• Turn production traces, customer feedback, and usage signals into measurable product and model improvements.
• Collaborate across AI, product, infrastructure, data, security, and application teams to deliver end-to-end capabilities.

Requirements

• 3+ years of AI Agent engineering, machine learning engineering, or related experience.
• Strong backend or distributed-systems engineering skills.
• Hands-on experience building and shipping AI-agent or LLM-powered products.
• Strong focus on AI quality and experience evaluating nondeterministic systems.
• Ability to use data, traces, logs, and qualitative examples to identify and resolve complex failures.
• Works effectively across services, technical domains, and organizational boundaries.
• Combines strong product judgment with rigorous engineering and evaluation practices.
• High agency, strong ownership, and a bias toward action.
• Ability to take ambiguous problems from initial exploration through production launch and continuous improvement.

Nice-to-Haves

• Demonstrated ability to use coding agents effectively while rigorously reviewing and controlling the quality of their output.