AI Engineering Lead

Hybrid in New York, NY, US • Posted 6 hours ago • Updated 6 hours ago
Full Time
Hybrid
$140 - $160/hr
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Job Details

Skills

  • Amazon Web Services
  • Artificial Intelligence
  • Cloud Computing
  • Continuous Delivery
  • Database
  • Evaluation
  • Generative Artificial Intelligence (AI)
  • IT Architecture
  • Integration Testing
  • Machine Learning (ML)
  • Mentorship
  • Microsoft
  • Orchestration
  • Python
  • Roadmaps
  • Routers
  • Workflow
  • LLM
  • LangChain
  • Multi Agent
  • AI Agent

Summary

AI Engineering Lead
Location: New York City (Hybrid)
Job Type: Full-Time
Position Overview
We are actively hiring an AI Engineering Lead to drive the architecture, development, and enterprise deployment of advanced Generative AI solutions for Fortune 500 customers. This role requires a strong technical leader with deep expertise in LLMs, Multi-Agent Systems, RAG pipelines, LangGraph, Python, and Cloud platforms.
The ideal candidate should have proven experience in leading engineering teams, designing production-grade AI systems, and delivering scalable GenAI applications.
Key Responsibilities
Technical Leadership
  • Define technical architecture and engineering roadmap for enterprise GenAI solutions.
  • Lead a team of AI/ML engineers, backend engineers, and platform engineers.
  • Own delivery execution and ensure project milestones are achieved.
  • Mentor engineers on best practices in LLM engineering and production AI systems.
GenAI Architecture & Development
  • Design and build Multi-Agent AI systems using supervisor-router architectures.
  • Develop enterprise-grade RAG (Retrieval-Augmented Generation) applications.
  • Build production workflows using:
    • Python
    • LangGraph
    • LangChain
    • SQL
  • Design dynamic agent orchestration including:
    • Agent routing
    • Tool calling
    • Memory management
    • Stopping conditions
Evaluation & Observability
  • Build evaluation pipelines using:
    • LangSmith
    • Langfuse
  • Implement:
    • Offline evaluation datasets
    • LLM-as-a-Judge frameworks
    • CI/CD integrated testing pipelines
Cloud & Deployment
Deploy AI systems on:
  • Amazon Web Services (AWS)
  • Microsoft Azure
  • Google Cloud
Responsibilities include:
  • Production deployment
  • Performance optimization
  • Resource scaling
  • CI/CD automation
AI Tooling Expertise
Hands-on experience with:
  • Claude
  • Cursor
  • Windsurf
  • Codex
Required Qualifications
Must Have
  • 12+ years in Software Engineering / Platform Engineering
  • 2+ years in LLM / Generative AI production systems
  • Strong coding in:
    • Python
    • SQL
  • Strong experience in:
    • Multi-Agent Systems
    • RAG in production
    • LangGraph
    • LLM evaluation
    • Agent orchestration
Nice to Have
  • Vector databases:
    • Pinecone
    • Weaviate
    • FAISS
  • Model providers:
    • OpenAI
    • Anthropic
    • Google DeepMind
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: 91172362
  • Position Id: 8969502
  • Posted 6 hours ago

Company Info

About Metalight Solutions Inc

We provide customized solutions for all your long-term and short-term staffing needs such as Temporary, interim-to-hire, and direct placement. Our professional knowledge added to the technology assures that you get the best and efficient solutions in the least possible timeframe.

Acting as your partner, we understand the business, strategy, and requisition in the detail on the basis of which we proceed towards extending the assistance required for hiring the best staff for your firm. Having access to professional and qualified talent, we can provide tailor-made Staffing Solutions for various hierarchical levels.

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