Genius Sports · 1 day ago
Staff Applied AI Engineer
New York, United States
Full-time
Hybrid
Lead/Staff
$230K/yr - $270K/yr
10+ years expGenius Sports is a technology company that enhances sports experiences for fans worldwide through innovative solutions. They are seeking a Staff Applied AI Engineer to lead the architecture of a multi-agent LLM reasoning layer that processes multimodal evidence into validated outputs. The role involves technical leadership, optimizing performance, and mentoring engineers while promoting Agile principles and continuous improvement.
Computer Software
Responsibilities
Own the end-to-end technical direction for the multi-agent, multimodal platform that converts broadcast/radio inputs into validated, structured outputs from prototype to production
Design and evolve the agent architecture (agent boundaries, interfaces, and orchestration patterns), including evidence fusion, traceability/provenance, and schema-first outputs with versioning and backward compatibility
Define reliability standards for probabilistic systems: confidence scoring and gating, escalation paths for low-confidence segments (including optional human-in-the-loop), and safe correction/overwrite semantics for live outputs
Drive performance and cost optimization, selecting routing strategies (lightweight vs heavy models), and implementing batching/caching/retries that keep quality stable under real-time constraints
Partner across product, platform, and domain experts to translate ambiguous sport scenarios into system logic
Champion continuous improvement by evaluating new technologies, tools, and approaches where they provide clear value
Mentor and coach engineers across teams, supporting technical growth and raising the overall engineering bar
Qualification
Required
10+ years of software engineering experience, including owning architecture for complex distributed or data-intensive systems
Proven ability to lead through influence: align stakeholders, set technical direction, and drive ambiguous projects to outcomes
Deep experience with agentic/LLM application architecture (tool use, structured outputs, routing)
Proven experience with different LLM platforms, including but not limited to ChatGPT, Gemini and Claude
Strong understanding of MCP and RAG with production implementation experience
Extensive experience designing and working with RESTful APIs and distributed services
Experience using version control systems (e.g. Git) in collaborative, multi-team environments
Proven ability to solve complex problems and make sound technical decisions in ambiguous situations
Ability to work independently while also leading and influencing teams without formal authority
Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences
Preferred
Hands-on experience with multimodal systems (audio/video/text)
Background in reliability engineering / test engineering applied to ML/LLM systems
Experience with multiple architectural and software frameworks
Experience working in container based environments (e.g. Docker, Kubernetes)
Knowledge of modern build pipelines and tools
Familiarity with Agile development methodologies
Experience with testing frameworks
Benefits
Genius Sports Group's benefits plan.
Supporting employee wellbeing
Helping you grow your skills, experience and career.
Company
Genius Sports
NYSE: GENI Genius is the operating system for modern sport. Building technology and experiences to make sports even better.
1001-5000 employees
H1B Sponsorship
Genius Sports has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2021 (1)
Funding
Current Stage
Late StageLeadership Team
Eric S.
Chief Operating Officer
Surena Ebrahimi
Vice President, Commercial Partnerships - North America
Company data provided by crunchbase