Senior Applied AI Engineer at Genius Sports

Build production-grade multimodal systems converting broadcast feeds into real-time signals using agentic components including audio sensor agents, visual sensor agents, and decision logic.

Key Responsibilities

Construct and maintain multimodal agents for audio/visual processing

Implement streaming pipelines with chunking, normalization, async execution

Develop prompt-as-code with JSON contracts and schema validation

Improve robustness through fallback behaviors and confidence thresholds

Partner with product teams on validation logic and downstream integration

Contribute evaluation workflows and test cases

Mentor team members

Required Qualifications

5-8+ years professional software engineering experience

Strong Python, Java, or Rust proficiency

Hands-on experience building production services involving LLM or multimodal model integration

Agile/evidence-based decision-making experience

Streaming data platform experience (Kafka, Pulsar, Flink)

AWS Bedrock or Google Vertex AI familiarity

Git proficiency, problem-solving skills

Preferred Qualifications

Audio ML experience

RAG experience

Evaluation practices

Cost/latency optimization

Location: Lausanne, Vaud, Switzerland. On-site.