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Applied AI Engineer - New York. NY (Hybrid)

Russell, Tobin & AssociatesNew York, NY🇺🇸United States

Why this role stands out

This on-site Applied AI Engineer role offers a fantastic opportunity to leverage your Python, Generative AI, and prompt engineering expertise to build cutting-edge applications. You'll thrive here if you possess a curious mindset, strong communication skills, and a passion for solving complex AI challenges within a reputable organization. Apply now to contribute to impactful projects and further develop your skills in a dynamic environment.

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationNew York, NY, United States
LLMPythonGenerative AIPrompt EngineeringZoomRAG

Job description


Role: Applied AI Engineer
Location: New York, NY (1633 Broadway)
Hybrid: 3x
Duration: 12 Month + Extension/ Contract to Hire
Interview Process:
1.) Zoom
2.) Onsite Interview (90 Mins)
Years of experience: 5-7 Years Exp (More is Okay)
Must: (5- 7 Years Exp)
  • Great hands on experience coding within Python
  • Good hands on Core AI experience
  • Good GenAi and Agentic AI exp
  • How it works, how information can be extracted, prompt engineering, etc
  • Practical experience building applications using Python, OpenAI or Claude Agent SDK and other agentic frameworks (comparable LLM APIs).
  • Strong understanding of prompt engineering, including prompt design, prompt testing, grounding, context management, and output validation.
  • Experience building AI or data-driven applications that use APIs, databases, cloud services, and enterprise data sources.
  • Good exp in frontier CodingTools: ClaudeCode - Amp - CodeEx, etc
  • Strong RAG Experience - What is needed to implement
  • Has working experience working on complex systems and building complex applications
  • PostGres Exp
  • Although different Vector Database will suffice
  • Fantastic Communication skills
  • Curious mindset
  • Strong Communication (Written and Verbal)
  • Know what they are doing, why they are doing it.

Plusses:
  • Financial Services Experience (Great if they work with Fixed Income - What is a stock, what is a bond, etc)
  • Elastic Search Exp
  • Embedding Exp

Misc:
  • Doc Central - Massive document repository within the firm
  • Becoming the FIRMS main AI solution for document extraction, summarization and search engine for internal documents
  • DocCentral is about 20% of the OpenAI traffic through MS
  • Doc Central: RAG Millions of Documents
  • This person will be using RAG, but also helping build out different capabilities as they scale
  • Moved on from Trad RAG, going more Agentic
  • Evaluation is also a big component of what they do
    #RTA
    #LI-DT1

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