About The Position

Key Responsibilities •Architect LLM-powered workflows (briefing, enrichment, signals, pitch prep) •Define AI pipeline: prompt design, retrieval, orchestration, routing, fallback logic •Design hybrid compute strategy: on-device AI (AI Kit) + server-side LLM •Establish guardrails for accuracy, hallucination safety, and compliance alignment •Ensure enterprise integration with CRM APIs, mobile, and backend systems

Requirements

  • Strong expertise in LLMs, NLP, embeddings, multi-step reasoning.
  • Prior experience building/architecting AI systems in production
  • Understanding of PII handling, governance, and secure AI practices
  • Ability to optimize latency and model performance for mobile contexts

Responsibilities

  • Architect LLM-powered workflows (briefing, enrichment, signals, pitch prep)
  • Define AI pipeline: prompt design, retrieval, orchestration, routing, fallback logic
  • Design hybrid compute strategy: on-device AI (AI Kit) + server-side LLM
  • Establish guardrails for accuracy, hallucination safety, and compliance alignment
  • Ensure enterprise integration with CRM APIs, mobile, and backend systems

Benefits

  • Medical, vision, and dental benefits
  • 401k retirement plan
  • variable pay/incentives
  • paid time off
  • paid holidays
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