Gen AI Tech Lead (Application development side)

Remote • Posted 6 hours ago • Updated 6 hours ago
Full Time
Remote
Up to $125,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Gen AI
  • application

Summary

Role: Gen AI Tech Lead (Application development side)

Location: Remote

JOB DESCRIPTION:

Core Responsibilities

  • System Architecture & Design: Lead the design and implementation of scalable, secure, and robust GenAI architectures (RAG, multi-agent systems).
  • Hands-on Development: Develop, prototype, and deploy LLM-powered features using frameworks like LangChain, LangGraph, or Semantic Kernel, often focusing on agentic workflows on Microsoft Azure.
  • Productionization (LLMOps): Transition models from research to production, ensuring reliability, low latency, and cost-efficiency. This includes fine-tuning, quantization, and evaluation.
  • Technical Leadership & Mentorship: Guide engineering teams on best practices, conduct code reviews, and foster a culture of technical excellence.
  • Cross-functional Collaboration: Partner with Product Managers, Data Scientists, and Designers to translate business requirements into actionable technical plans.
  • Strategy & Innovation: Evaluate new tools from Microsoft (Azure) and models to maintain a competitive advantage.
  • AI Governance & Ethics: Ensure compliance with data privacy, security, and responsible AI principles (e.g., bias mitigation, guardrails).

Required Skills and Qualifications

  • Experience: 5 10+ years in software engineering, with 2 4+ years specifically in AI/ML, particularly in a lead or senior role focusing on Generative AI and hands-on experience with Microsoft Azure and AI.
  • Technical Proficiency:
    • Languages: Expert-level Python (required), OpenAI, VSCode with Java, Node.js, or TypeScript preferred.
    • GenAI/LLMs: In-depth knowledge of LangChain, AutoGen, vector databases (Pinecone, FAISS, ChromaDB), and prompt engineering.
    • Cloud Infrastructure: Hands-on experience with Azure, specifically for AI workload deployment (Azure OpenAI).
    • MLOps: Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and model monitorin

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: 10199915
  • Position Id: 8908479
  • Posted 6 hours ago
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