Senior Staff Software Engineer - AI Innovation
New
Our ideal candidate will be hybrid (two days per week) out of our Austin, Texas office. We will also consider remote, Texas-based candidates who can come to the office 2-3 times per quarterFull-TimeStaff
Salary155,000 - 233,000 USD per year
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Job Details
- Experience
- 10+ years
- Required Skills
- AWSSoftware ArchitecturePrototyping
Requirements
- 10+ years of software engineering experience, including experience operating at the Staff or Senior Staff level.
- Proven track record of independently driving ambiguous, high-impact technical initiatives from concept through adoption.
- Deep hands-on experience building applications powered by LLMs, agentic systems, retrieval architectures, and modern AI tooling.
- Demonstrated ability to rapidly prototype, iterate, and validate new ideas while maintaining strong engineering judgment.
- Experience designing and operating large-scale graph databases or knowledge graph systems at scale (Neo4j, Neptune, TigerGraph, JanusGraph, or similar).
- Strong software engineering and systems design skills, including experience building distributed cloud-native applications, preferably in AWS.
- Excellent communication and influence skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Comfortable balancing exploratory innovation with production-quality engineering and long-term platform thinking.
Responsibilities
- Drive AI innovation across SpyCloud by identifying, evaluating, and applying emerging technologies in AI, agents, and knowledge systems.
- Rapidly prototype new products, workflows, and capabilities to validate technical feasibility and business value.
- Architect and build scalable AI systems that combine LLMs, graph technologies, proprietary intelligence, and cloud-native services.
- Partner with product, engineering, data science, and executive leadership to transform successful prototypes into production-ready capabilities.
- Develop reusable frameworks, tools, and reference architectures that enable teams across SpyCloud to leverage AI effectively.
- Evaluate and benchmark emerging models, agent frameworks, and AI tooling, providing technical guidance on adoption and best practices.
- Mentor engineers and influence technical strategy through hands-on leadership, clear communication, and cross-functional collaboration.
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