AI Engineer (GenAI / Agentic AI / VLM)

Madison-Davis

  • Dallas, TX or Charlotte, NC, TX
  • 30+ days ago
  • $65

Highlights

This role is focused on designing, developing, and deploying production-ready AI solutions using modern GenAI architectures, Vision Language Models (VLMs), autonomous AI agents, and advanced retrieval systems. You'll work alongside engineering teams to build scalable AI platforms that integrate enterprise knowledge, cloud infrastructure, and modern software engineering practices.

Numbers & Facts

LocationDallas, TX or Charlotte, NC, TX
Salary$65

Description


We are seeking an experienced AI Engineer to build enterprise-scale Generative AI applications that solve real business challenges. This role is focused on designing, developing, and deploying production-ready AI solutions using modern GenAI architectures, Vision Language Models (VLMs), autonomous AI agents, and advanced retrieval systems.

You'll work alongside engineering teams to build scalable AI platforms that integrate enterprise knowledge, cloud infrastructure, and modern software engineering practices. This is a hands-on engineering role for someone who enjoys building AI products from the ground up and delivering production-quality solutions.

RESPONSIBILITIES
  • Design and build production GenAI applications
  • Develop Vision Language Model (VLM) solutions
  • Build autonomous AI agents using modern frameworks
  • Design GraphRAG and advanced RAG architectures
  • Develop scalable Python APIs with FastAPI
  • Deploy cloud-native AI applications using Docker
  • Implement production-ready LLMOps pipelines
  • Integrate AI capabilities into enterprise platforms
  • Mentor engineers and promote engineering best practices

Role Requirements:
  • 5+ years of software engineering experience
  • Strong Python development skills
  • Experience building production GenAI applications
  • Hands-on Vision Language Model (VLM) experience
  • Experience with modern AI agent frameworks
  • GraphRAG and advanced RAG implementation experience
  • FastAPI and REST API development
  • Docker experience
  • AWS, Azure, or GCP experience
  • Strong communication and collaboration skills

PREFERRED EXPERIENCE
  • Financial services experience
  • Knowledge graph experience
  • Engineering leadership or mentoring
  • Experience building reusable AI platforms

How We Work:
  • Collaborative engineering culture
  • Strong ownership and accountability
  • Focus on production-quality software
  • Continuous innovation
  • Agile development practices

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