GenAI Lead/Lead AI Engineer/Senior GenAI Engineer-REMOTE-W2

Remote • Posted 2 hours ago • Updated 2 hours ago
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
Remote
$48 - $100/hr
Fitment

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Job Details

Skills

  • GenAI

Summary

We are seeking an experienced GenAI Lead to drive the design and development of enterprise-grade Generative AI solutions. This role is ideal for a hands-on AI professional with deep expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), and modern AI frameworks.

Key Responsibilities

  • Design and develop intelligent multi-agent and multi-step AI workflows.
  • Build scalable RAG pipelines using vector databases and advanced document retrieval techniques.
  • Create effective prompt templates, system instructions, and AI guardrails to ensure reliable model behavior.
  • Integrate AI agents with enterprise applications, APIs, and internal services.
  • Optimize AI applications for performance, latency, response quality, and token efficiency.
  • Develop automated evaluation frameworks, regression testing, and quality metrics for LLM applications.
  • Collaborate with cross-functional teams to architect and deliver enterprise AI solutions.

Required Skills

  • 12+ years of overall software development experience.
  • Strong proficiency in Python.
  • Hands-on experience building applications with Large Language Models (LLMs) and embeddings.
  • Solid expertise in Prompt Engineering, RAG architecture, and hallucination mitigation.
  • Experience developing AI agents and orchestration workflows.
  • Familiarity with cloud-based AI platforms and enterprise AI deployments.

Preferred Technology Stack

Programming

  • Python

Agent & RAG Frameworks

  • LangChain
  • LlamaIndex
  • DSPy

LLM Platforms & APIs

  • Google Gemini
  • Amazon Bedrock
  • Google Vertex AI
  • Claude

Vector Databases

  • Pinecone
  • Weaviate (or similar vector database)

AI Evaluation & Monitoring

  • LangSmith
  • Custom LLM evaluation and regression pipelines

Preferred Qualifications

  • Experience leading enterprise Generative AI initiatives.
  • Strong understanding of AI architecture, agent orchestration, and production deployment.
  • Excellent problem-solving, communication, and leadership skills.
  • Experience working in cloud environments and integrating AI services into enterprise applications.

If you have a passion for building cutting-edge AI solutions and leading enterprise GenAI initiatives, we'd love to hear from you!

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: 10513292
  • Position Id: 72993-12895-
  • Posted 2 hours ago
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