Senior Staff Software Engineer - AI Innovation (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Staff Software Engineer - AI Innovation (AI): Drive AI innovation across by exploring emerging AI technologies, rapidly prototyping agentic and knowledge-based workflows, and turning successful experiments into scalable production capabilities. Focus on architecting and building systems that combine LLMs, graph technologies, proprietary intelligence, and cloud-native services while navigating ambiguity and influencing technical strategy.
Location: Hybrid (two days per week) out of Austin, Texas office; remote, Texas-based candidates allowed if able to come to the office 2–3 times per quarter
Salary: $155,000 – $233,000
Company
builds automated identity threat protection solutions to thwart cyberattacks and protect billions of accounts worldwide.
What you will do
- Identify, evaluate, and apply 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 combining LLMs, graph technologies, proprietary intelligence, and cloud-native services.
- Partner with product, engineering, data science, and executive leadership to move prototypes into production-ready capabilities.
- Develop reusable frameworks, tools, and reference architectures for organization-wide AI adoption.
- Evaluate and benchmark emerging models, agent frameworks, and AI tooling; mentor engineers and influence technical strategy.
Requirements
- 10+ years of software engineering experience, including experience operating at the Staff or Senior Staff level.
- Deep hands-on experience building LLM-powered applications, agentic systems, retrieval architectures, and modern AI tooling.
- Experience designing and operating large-scale graph databases / knowledge graph systems at scale (e.g., Neo4j, Neptune, TigerGraph, JanusGraph).
- Strong software engineering and systems design skills, including distributed cloud-native application development (preferably AWS).
- Proven ability to independently drive ambiguous, high-impact technical initiatives from concept through adoption.
- Excellent communication skills to explain complex technical concepts to technical and non-technical stakeholders.
Culture & Benefits
- Hybrid work model: two days per week in the Austin, Texas office; remote option for Texas-based candidates with quarterly office visits.
- U.S.-based benefits for full-time employees include 401(k) with employer contribution, health/vision/dental insurance, and HSA with employer contribution.
- Employer-paid life and disability insurance plus generous PTO and 16 paid holidays per year.
- UK-based benefits are also offered for full-time employees (retirement plan, private health insurance, and paid holidays).
Hiring process
- Interviews to assess technical depth, ability to prototype and productionize AI systems, and cross-functional communication.
- Evaluation of experience with LLM/agent workflows and large-scale graph technologies.
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