USASoftware Engineer, AI Agent & LLM
1 мес. назад
USASenior
pythonmachine learningnatural language processingdata pipelinesevaluationdebugging
Senior AI Agent and LLM Engineer to build and improve AI systems for conversational knowledge engine and AI Chat infrastructure.
Обязанности
- We are looking for a Senior AI Agent & LLM Engineer who combines strong software engineering capabilities with a deep focus on AI quality. You will help build and improve the AI systems behind Otter’s conversational knowledge engine and AI Chat, spanning user-facing agent experiences, evaluation systems, and the shared platform required to operate them reliably at scale.
- This is a hands-on role for someone who can move from an ambiguous product problem to a working production solution, define how quality should be measured, and drive improvements across services, models, and user experience.
Другое
- 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.
- Has 3+ years of AI Agent engineering, machine learning engineering, or related experience.
- Brings strong backend or distributed-systems engineering skills.
- Has hands-on experience building and shipping AI-agent or LLM-powered products.
- Has a strong focus on AI quality and experience evaluating nondeterministic systems.
- Can 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.
- Operates with high agency, strong ownership, and a bias toward action.
- Can take ambiguous problems from initial exploration through production launch and continuous improvement.
- Demonstrated ability to use coding agents effectively while rigorously reviewing and controlling the quality of their output is a plus.
- We are in the business of shaping the future of work. Our mission is to make conversations more valuable.
- With over 1B meetings transcribed, is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.
- is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process.
- is committed to providing reasonable accommodations for candidates with disabilities in our hiring process. If you need assistance or an accommodation during any stage of the recruitment process, please contact hr@ at least 3 business days before your interview.
- * does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.
- Salary range
- Salary Range: $155,000 to $185,000 USD per year
- This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package. #LI-Hybrid