AI Engineer

Artech
New York, NY, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$114,400 - $124,800
Working hours
Regular working hours

Tech stack

LangGraph Framework Artificial Intelligence Microsoft Azure Databases Elasticsearch Github Graph Database Python (Programming Language) PostgreSQL Neo4j NoSQL Performance Tuning
+18 more
Redis OpenAI Search Technologies Microsoft SharePoint SQL Databases Unstructured Data Pinecone Scripting Flask (Web Framework) Multi-Agent Systems Generative AI Git Fastapi Pgvector AI Platforms Bitbucket FAISS Restful APIs

Job description

The successful candidate should possess demonstrated experience in: Designing and implementing multi-agent orchestration frameworks and agentic workflows Building Retrieval-Augmented Generation (RAG) solutions leveraging both structured and unstructured enterprise data Developing enterprise knowledge retrieval platforms across SharePoint, document repositories, databases, and external knowledge sources Implementing AI governance controls including source traceability, explainability, auditability, and human review workflows Productionizing LLM-based applications with observability, monitoring, performance optimization, and security controls Architecting scalable and reusable AI platform capabilities Leading technical design discussions and mentoring engineering teams on AI engineering best practices

Roles & Responsibilities

The successful candidate should possess demonstrated experience in:

Designing and implementing multi-agent orchestration frameworks and agentic workflows Building Retrieval-Augmented Generation (RAG) solutions leveraging both structured and unstructured enterprise data Developing enterprise knowledge retrieval platforms across SharePoint, document repositories, databases, and external knowledge sources Implementing AI governance controls including source traceability, explainability, auditability, and human review workflows Productionizing LLM-based applications with observability, monitoring, performance optimization, and security controls Architecting scalable and reusable AI platform capabilities Leading technical design discussions and mentoring engineering teams on AI engineering best practices

Skill Set:

Primary Skills

Python Azure OpenAI/ OpenAI APIs/ LangGraph/ LangChain Retrieval-Augmented Generation (RAG) Vector Databases (Postgres pgvector, Pinecone, Elasticsearch, FAISS) REST APIs FastAPI / Flask SQL / NoSQL Databases Git, GitHub, Bitbucket Multi-Agent Systems Agent Orchestration Frameworks Semantic Search Knowledge Graphs

Good to Have

Redis Elasticsearch Neo4j Financial Services Domain Experience

Requirements

Artificial Intelligence (AI), Unstructured Data, Artificial Intelligence (AI), Technical/Engineering Design, Mentoring, Best Practices, Technical Leadership, Python Programming/Scripting Language, Redis

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