Applied AI Engineer

Hybrid in New York, NY, US • Posted 2 days ago • Updated 2 days ago
Contract W2
12 Months
Hybrid
$78.46 - $78.46/hr
Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

  • PYTHON
  • AGENTIC AI
  • AI AGENTS
  • AGENT SDK
  • LANGCHAIN
  • LANGGRAPH
  • AUTOGEN
  • LLAMAINDEX
  • RAG
  • RETRIEVAL AUGMENTED GENERATION
  • RETRIEVAL-AUGMENTED GENERATION
  • PROMPT ENGINEERING
  • PROMPT DESIGN
  • PROMPT TUNING
  • OPENAI
  • CLAUDE
  • ANTHROPIC
  • GPT-4
  • LLM
  • LARGE LANGUAGE MODEL
  • VECTOR DATABASE
  • VECTOR DB
  • PINECONE
  • WEAVIATE
  • MILVUS
  • FAISS
  • CHROMA
  • PGVECTOR
  • POSTGRESQL
  • POSTGRES

Summary


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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10427670
  • Position Id: 26-26718
  • Posted 2 days ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

New York, New York

5d ago

Easy Apply

Contract

37

New York, New York

6d ago

Easy Apply

Contract, Third Party

Depends on Experience

New York, New York

Today

Full-time

Remote or New York, New York

Today

Full-time

USD 172,000.00 - 300,000.00 per year

Search all similar jobs