Overview:

Spotter is a platform for Creators, providing services and software designed to accelerate growth for the world’s best Creators and brands. Creators working with Spotter can access the capital, knowledge, community, and personalized AI software products they need to succeed. With unique knowledge of how Creators work, the resources they need to grow, and the challenges they face, Spotter is empowering top YouTube Creators to succeed.

Spotter has already deployed over $950 million to Creators to reinvest in themselves and accelerate their growth, with plans to reach $1 billion in investment in 2025. With a premium catalog that spans over 725,000 videos, Spotter generates more than 88 billion monthly watch-time minutes, delivering a unique scaled media solution to Advertisers and Ad Agencies that is transparent, efficient, and 100% brand safe. For more information about Spotter, please visit https://spotter.com.

What You’ll Do/Responsibilities

As a Senior AI Engineer, you’ll design, optimize, and deploy AI-powered conversational and workflow systems that drive personalization, context-awareness, and efficiency for our creator-facing products. You’ll work closely with product, engineering, and data science teams to ensure our agentic AI experiences are not only intelligent but deeply relevant and engaging.

Build, evaluate, and refine agentic AI systems for high-quality chat interactions and workflow automation.
Develop robust evaluation frameworks to measure performance, accuracy, and user satisfaction.
Improve the relevance and persistence of conversation memories and contextual grounding.
Enhance prompts and orchestration logic to improve task completion, personalization, and overall system reliability.
Experiment with model fine-tuning and domain adaptation when beneficial to user experience.
Leverage tools such as LangGraph, FalkorDB, and PGVector to manage context and optimize retrieval pipelines.
Collaborate with product managers, UX designers, and other engineers to align AI capabilities with business goals.

Who You Are/Required Qualifications

5 years software development experience with at least 1 year of building LLM-focused consumer or enterprise SaaS applications, including designing and optimizing LLM interactions and evaluation workflows.
Proficiency with Python and modern AI frameworks (LangChain, LangGraph, or similar orchestration tools).
Experience with vector databases (e.g., FalkorDB, PGVector, Pinecone, Weaviate) and retrieval-augmented generation.
Knowledge of embedding models, retrieval strategies, and context-window optimization.
Familiarity with model training, fine-tuning, and evaluation methodologies.
Understanding of graph databases and their role in storing and retrieving structured knowledge.
Ability to collaborate in cross-functional, fast-paced environments.

Why Spotter

Medical insurance covered up to 100%
Dental & vision insurance
401(k) matching
Stock options
Autonomy and upward mobility
Diverse, equitable, and inclusive culture, where your voice matters.

This is a remote position and can be based anywhere in the United States.

Spotter is an equal opportunity employer. Spotter does not discriminate in employment on the basis of race, religion, creed, color, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic characteristics or information, marital status, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, use of or request for family or medical leave, political affiliation, or any other status protected under applicable federal, state or local laws.

Equal access to programs, services and employment is available to all persons. Those applicants requiring reasonable accommodations as part of the application and/or interview process should notify a representative of the Human Resources Department.