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1 день назад

Software Engineer (AI/ML)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Software Engineer (AI/ML): Building resilient ML-powered features across the stack from data ingestion and model integration to serving and monitoring with an accent on RAG systems, latency optimization, and production-grade generative AI. Focus on architecting scalable systems, handling edge cases like prompt brittleness, and evaluating model performance with tools like Braintrust and Promptfoo.

San Francisco, CA On-site, based in San Francisco headquarters

Company

hirify.global is building the first platform for agentic team chat where AI agents and humans collaborate, supporting leading AI models and integrating with thousands of apps via Model Context Protocol. Recently raised $20M Series A, co-founded by David Sacks and Evan Owen.

What you will do

  • Prototype prompts and pipelines, ship production ML systems across the stack including data ingestion, model integration, serving, and monitoring.
  • Build and optimize RAG systems with text chunking, hybrid retrieval, vector store tuning, and relevance optimization.
  • Handle challenges like latency, cost, edge cases, and prompt brittleness to create reliable systems.
  • Collaborate with engineering, product, and design to deliver magical experiences grounded in robust infrastructure.
  • Evaluate model performance and behavior using advanced tooling and quality metrics.

Requirements

  • 5+ years engineering experience, ideally including ML, NLP, or applied AI
  • 2+ years hands-on with LLMs, transformers, production-grade generative AI
  • 2+ years with server-side language (Go, TypeScript, Python)
  • Experience building RAG systems (LangChain, LlamaIndex, custom)
  • Self-starter who architects projects correctly, makes tradeoffs, and prioritizes outcomes
  • Must be based in San Francisco headquarters

Nice to have

  • Experience with multi-modal inputs, fine-tuning open models, agent-style systems
  • Familiarity with evaluation tools (Braintrust, Promptfoo) and quality metrics
  • Independent with side projects or libraries

Culture & Benefits

  • Competitive salary plus significant equity
  • Generous healthcare package and equipment as needed
  • Flexible vacation policy for sustainable culture

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