Gen AI Engineer

Purple Drive Technologies

• $90K — $130K *
Tampa, FL 33647In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 2-4 years of hands-on programming experience in Python.
  • Proven ability to develop APIs using FastAPI and Flask frameworks.
  • Experience building AI workflows and handling data processing for backend applications.
  • Solid understanding of Large Language Models (LLMs) and Prompt Engineering techniques.
  • Familiarity with Generative AI frameworks like LangChain, Hugging Face, and LlamaIndex.
  • Knowledge of software development best practices and Git version control.

Responsibilities

  • Design, develop, and maintain AI-powered applications and workflows.
  • Build and optimize strategies for Prompt Engineering in LLM solutions.
  • Integrate RAG-based architectures and Agentic AI workflows into projects.
  • Create and maintain APIs using FastAPI and Flask frameworks.
  • Deploy and monitor AI models in various environments, ensuring stability and reliability.
  • Conduct code reviews, testing, and technical documentation for projects.
  • Collaborate with teams across the organization to implement scalable AI solutions.
  • Evaluate and adopt new Generative AI technologies and frameworks as needed.

Benefits

  • Opportunity to work on cutting-edge AI solutions.
  • Work environment focused on innovation and collaboration.
  • Engagement with the latest Generative AI technologies and frameworks.
Full Job Description
Overview:

Job Title: Gen AI Engineer

Location: Irving, TX

Experience: 2-4 Years

Job Summary

We are seeking a passionate Gen AI Engineer with hands-on experience in Python development, Generative AI technologies, and AI-powered application development. The ideal candidate will have experience building AI workflows, developing APIs, implementing RAG architectures, and working with modern GenAI frameworks such as LangChain, Hugging Face, and LlamaIndex.

This role offers an opportunity to work on cutting-edge AI solutions, including LLM-powered applications, Agentic AI workflows, and enterprise AI deployments.

Required Skills

  • Strong hands-on programming experience in:
    • Python
  • Experience developing APIs using:
    • FastAPI
    • Flask
  • Hands-on experience in:
    • Data Processing
    • AI-enabled workflows
    • Backend application development
  • Strong understanding of:
    • Large Language Models (LLMs)
    • Prompt Engineering
    • Retrieval-Augmented Generation (RAG)
    • Agentic AI concepts
    • Hybrid Prompting techniques
  • Experience with Generative AI frameworks and tools:
    • LangChain
    • Hugging Face
    • LlamaIndex
  • Knowledge of:
    • Git version control
    • AI application testing and debugging
    • Software development best practices
Preferred Skills

  • Experience working with:
    • Gemini LLM
    • Google AI ecosystem
  • Knowledge of machine learning frameworks:
    • PyTorch
    • TensorFlow
    • Keras
  • Understanding of:
    • Natural Language Processing (NLP)
    • Model deployment
    • Docker containerization
  • Awareness of:
    • Responsible AI principles
    • Data privacy
    • AI governance and compliance
Key Responsibilities

  • Design, develop, and maintain AI-powered applications and workflows
  • Build and optimize Prompt Engineering strategies for LLM-based solutions
  • Develop and integrate RAG-based architectures and Agentic AI workflows
  • Create and maintain APIs using FastAPI and Flask frameworks
  • Deploy, monitor, and maintain AI models across development, testing, and production environments
  • Perform code reviews, testing, debugging, and technical documentation
  • Collaborate with cross-functional teams to deliver scalable AI solutions
  • Continuously evaluate emerging Generative AI technologies, frameworks, and best practices
  • Ensure adherence to security, compliance, and Responsible AI guidelines
* Ladders Estimates

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