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Generative AI Consultant
First seen · open on SmartRecruiters as of
From $105,000annualizedSan Francisco, CAHybridFull-time
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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At a glance
Posted base pay
From $105,000
Median $150K
Mid-level FDE postings105 postings · middle 50% of posted pay$122K–$162KThe work
Builds what the customer runs
Balance Mostly building
Project stages
- Pre-sales (not covered)
- Proof of concept
- Implementation
- Operations
- Coding
- Writes production code
- Builds for
- External customers
- Level
- Mid
- Role
- Individual contributor
What they ask for
Experience
Background
Visa
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Forward Deployed Engineering Intern, BS/MS, Summer 2027
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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.
About Sia
Global consulting firm providing strategy, management, AI, business transformation, and creative marketing services, alongside deployable AI agents and products.
Late-stage private · 2000–5000 people
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