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distributed systems elasticsearch llms rag vector databasesπ Description
- Own business-critical AI challenges; partner with product, design, and engineers.
- Build end-to-end AI platform with agentic LLM features.
- Ship incrementally; measure impact; iterate weekly.
- Elevate the team; mentor engineers in AI engineering, model evaluation, and prompts.
- Take ownership; autonomy to choose approaches and drive results.
- Impact Laurel's AI platform and its direction.
π― Requirements
- Deep experience building AI/ML platforms at scale (millions+ inferences/day).
- Strong backend and distributed systems fundamentals (microservices, async).
- Hands-on experience with LLMs in production; prompting, latency, cost control.
- Experience designing AI infrastructure: orchestration, feature stores, model/versioning.
- Fast-moving, ambiguous environments; able to decide with incomplete info.
- Mentoring engineers; raise the bar with better tools and practices.
π Benefits
- Hybrid role; office in SF/NY/LA at least 2 days/week.
- Fully remote possible for exceptional candidates.
- Equity and 401K benefits.
- Bi-annual in-person off-sites in unique locations.
- Collaborative, inclusive team culture.
- Equal-opportunity employer; no visa sponsorship or relocation.
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