Gen AI Engineer

Purple Drive Technologies

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-4 years of Python development experience
  • Experience in API development with FastAPI or Flask
  • Proficient in AI workflows and backend application development
  • Solid understanding of Large Language Models and Prompt Engineering
  • Familiarity with Generative AI frameworks like LangChain and Hugging Face
  • Knowledge of Git, testing, and software development best practices

Responsibilities

  • Design and maintain AI-powered applications and workflows
  • Optimize Prompt Engineering strategies for LLM solutions
  • Integrate RAG architectures and Agentic AI workflows
  • Create APIs using FastAPI and Flask
  • Deploy and monitor AI models in various environments
  • Conduct code reviews, debugging, and create documentation
  • Collaborate with teams for scalable AI solutions
  • Evaluate new Generative AI technologies and best practices
  • Ensure compliance with security and Responsible AI guidelines

Benefits

  • Access to cutting-edge AI technologies
  • Opportunity for professional growth and skill development
  • Collaborative work environment with cross-functional teams
  • Flexible work arrangements
  • Contributions to innovative AI solutions in the enterprise space
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

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