Sr. Applied AI Engineer

Overview

Job Description

Responsibilities

• - Build foundational AI tooling—like reusable frontend and backend components for AI agent experiences, observability mechanisms and evaluation tooling.
• - Design and implement data-driven feedback loops to monitor and improve the performance, reliability, and safety of agent systems at scale.
• - Proactively identify tooling gaps and work across teams to standardize best practices for building, deploying, and monitoring AI-driven experiences.
• - Collaborate closely with engineers across product, infra, and data teams to ensure our AI components are reusable, well-documented, and easy to adopt company-wide.
• - Experiment with emerging LLMs and retrieval strategies, helping the team evaluate when to fine-tune, swap models, or adjust orchestration logic.

Required Skills

• - 7+ years of experience in software engineering, with at least 5 of those years dedicated to building distributed, scalable cloud based web applications.
• - Strong communication skills, problem-solving abilities, and a drive to deliver outstanding customer experiences.
• - At least 1 year of experience working with large language models (LLMs) to perform complex tasks in production environments.
• - Familiarity with underlying technologies like transformer networks, attention mechanisms, and how they contribute to models’ abilities to generate coherent responses.
• - Experience with Retrieval-Augmented Generation (RAG) systems and understanding of how to optimize knowledge retrieval for improved model accuracy and speed.
• - Experience of working through the full lifecycle of building, testing, deploying, and scaling LLM architectures.
• - Experience building with cloud infrastructure technologies.

Benefits

• - Offers Equity
• - Offers Bonus
• - Remote work flexibility
• - Competitive and equitable compensation practices