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LeadFull-timeRustKubernetesDockerAgileGitAIML
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Staff Software Engineer, Applied AI to own the architecture of our multi-agent LLM reasoning layer that turns multimodal evidence into validated outputs across our products. You will define how agents are decomposed, orchestrated, evaluated, and safely promoted into real-time production while balancing accuracy, latency, and cost.
Key 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, 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, and safe correction/overwrite semantics for live outputs.
- →Drive performance and cost optimization, selecting routing strategies 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.
Requirements
- ✓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.
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