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Sedric
Sedric
11 – 50 Darbinieki
KonsultācijasMārketingsVeselības aprūpe
Sedric builds an AI-powered compliance management platform for financial services. The product helps compliance teams put policies into practice, monitor activity for potential issues in real time, and prepare reports through connected workflows. Sedric’s platform is designed to make regulatory oversight more manageable while supporting efficient day-to-day operations.
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Vakances uzņēmumā

Senior AI Tech Lead

Lead Sedric’s AI reference architecture for agentic compliance systems. Build scalable LLM, retrieval, governance, and evaluation capabilities for financial services.

ILIzraēlaHibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženieris

Apraksts

  • Own Sedric’s end-to-end AI reference architecture
  • Set engineering-wide patterns, standards, and platform capabilities for AI initiatives
  • Lead architecture reviews and shape the technology roadmap
  • Select technologies, vendors, and foundation models to adopt, pilot, or retire
  • Ensure AI initiatives align with the platform’s architecture
  • Create reusable patterns for AI services, agents, retrieval, evaluation pipelines, and infrastructure
  • Assess emerging technologies, vendors, and foundation models
  • Work with Product leaders to explore AI-intensive initiatives early
  • Deliver LLM improvements and optimize existing flows for latency and reliability
  • Guide AI design across the platform and advise teams before implementation

Prasības

  • At least five years of ML or AI architecture experience at a SaaS company
  • At least three years of backend development experience
  • Production experience building agentic systems with tool use, planning, and multi-step reasoning
  • Experience creating AI governance and evaluation harnesses from the ground up
  • Hands-on experience deploying AI in production systems
  • Ability to take projects from concept through delivery and work with stakeholders throughout
  • A relevant degree is required; an advanced degree in computer science, machine learning, statistics, or a related field is a plus
  • Comfort engaging customers and executives and explaining technical tradeoffs in business terms

Priekšrocības

  • Meaningful equity in a growing compliance AI company
  • Direct access to company leadership with little bureaucracy
  • Flexible, output-focused culture centered on what you deliver rather than when you log on
  • Work on consequential challenges in an industry poised for change

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