Senior AI Engineer

🕒 July 30

🇺🇸 United States – Remote

💵 $170k - $200k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Acquisition.com

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

📚 Education

Consulting • Marketing • Education

Acquisition. com is a company focused on helping businesses scale from $0 to $100 million through personalized scaling roadmaps, workshops, and courses. It was founded by Alex and Leila Hormozi and has successfully grown its portfolio to over $500 million in enterprise value within four years. The firm provides various free resources like videos, eBooks, guides, templates, and downloadable content designed to aid businesses in their growth journey. Acquisition. com also offers workshops featuring keynote speakers and breakout sessions aimed at solving business-related constraints. The company's mission is to make genuine business education accessible to everyone, thereby improving the lives of all its stakeholders.

📋 Description

• Design, build, and deploy production-grade AI agents and end-to-end agentic workflows that solve real business problems across ACQ Vantage • Integrate LLMs with internal systems, APIs, and data sources, ensuring reliability, performance, and clean abstractions • Collaborate with product and engineering teams to prioritize, ship, and iterate on AI features quickly • Own and improve RAG pipelines across multiple Pinecone namespaces, including chunking strategy, embedding model selection, hybrid retrieval, and reranking • Build and maintain an evaluation framework, including golden datasets, automated quality scoring, retrieval metrics, latency benchmarks, and regression detection • Optimize model routing and tiering to improve unit economics while maintaining output quality • Instrument the AI layer for observability, including cost-per-request, token usage, quality signals, and anomaly detection

🎯 Requirements

• 7+ years shipping production software systems (distributed backends, APIs, deployment pipelines, monitoring) • 2+ years building production RAG systems using vector databases (Pinecone, Qdrant, FAISS, or Weaviate), including embedding strategies, index management, and retrieval tuning • Built and deployed AI agents or multi-step LLM workflows in production, including tool use, orchestration, and system integrations • Built or contributed to an evaluation framework for an LLM-based product (retrieval quality measurement, regression detection, model-switching decisions based on data) • Reduced LLM API costs in production through model routing, caching, token management, or architectural improvements • Worked across multiple LLM providers (OpenAI, Anthropic, or equivalent) and understands tradeoffs in prompt behavior, token economics, and failure modes • Comfortable in both TypeScript and Python (our stack uses both)

🏖️ Benefits

• Flexible Unlimited Paid Time Off and Company-wide Holidays • Employer sponsored Medical, Dental, & Vision plans • $1,950 annual Employer HSA contribution • FSA options including dependent care • Employee assistance program and mental health resources • Employer match program for 401(k), eligible for both Traditional and Roth accounts • $1,200 annual wellness reimbursement through JOON that supports health, family care, pet care, fitness, and more! • For local or visiting team members, enjoy access to a state of the art gym at our HQ in Las Vegas