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Generative AI Consultant

From $105,000annualizedSan Francisco, CAHybridMid-level

Build and deploy GenAI/LLM solutions for clients across industries, spanning architecture, model selection and fine-tuning, RAG, application development, and production MLOps.

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View posting at Sia

At a glance

Posted base pay

Not posted

The work

Builds what the customer runs

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What they ask for

Tools

  • Python
  • LangChain
  • LlamaIndex
  • RAG
  • LLMs
  • MLOps
  • Docker
  • LangGraph
  • Model Context Protocol

Visa

  • No visa sponsorship

Less common in FDE jobs

  • Hybrid34%
  • Individual contributor or manager: Individual contributor49%

Share of US FDE postings that state each fact.

What you’ll do

  • Design, fine-tune, and deploy LLM and generative AI systems.
  • Build GenAI applications and RAG architectures tailored to business needs.
  • Implement production MLOps pipelines, monitoring, and system integrations.
  • Evaluate models for performance, reliability, fairness, and safety.

What you’ll bring

  • Master's or Engineering degree in a quantitative field or equivalent.
  • 1–3+ years of hands-on ML, software engineering, or data science experience, including complex LLM/GenAI projects.
  • Strong Python skills and proficiency with a GenAI framework such as LangChain or LlamaIndex.
  • Experience with NLP/NLU, vector embeddings, semantic search, and LLM fine-tuning.

View posting at Sia

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Pay and conditions

Posted pay
From $105,000Annualized in US dollars
Pay details

Base salary starting at $105,000, commensurate with experience and qualifications

Location
San Francisco, CA
Work arrangement
Hybrid
Employment type
Full-time
Visa sponsorship
Not available
Experience requirements
1–3 years