Generative AI Engineer

Hybrid in Houston, TX, US • Posted 9 hours ago • Updated 9 hours ago
Contract W2
Contract Independent
Occasional Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Python
  • Machine Learning
  • Deep Learning
  • Generative AI
  • Large Language Models (LLMs)
  • LangChain
  • Hugging Face
  • OpenAI API
  • TensorFlow
  • PyTorch
  • Keras
  • Retrieval Augmented Generation (RAG)
  • AI Agents
  • Agentic AI
  • Multi-Modal AI
  • Natural Language Processing (NLP)
  • Prompt Engineering
  • Google Model Garden
  • Amazon Bedrock
  • Nvidia NIM
  • Cloud AI Platforms
  • API Integration
  • Data Processing
  • AI Prototyping
  • PoC Development
  • MVP Development

Summary

Job Summary
WhiztekCorp is seeking a highly skilled Senior Generative AI Engineer to support our client . The ideal candidate will have strong experience building Generative AI solutions, LLM applications, and intelligent agent systems. This role focuses on developing prototypes, PoCs, and MVPs using modern AI frameworks and cloud platforms.

Key Responsibilities

  • Design and develop Generative AI solutions and LLM-based applications.

  • Build prototypes, PoCs, and MVPs using modern AI/ML tools and frameworks.

  • Develop agent-based AI workflows and intelligent automation systems.

  • Work with multi-modal datasets including text, documents, and structured data.

  • Integrate AI models using APIs and deploy solutions on cloud platforms.

  • Collaborate with cross-functional teams to implement scalable AI systems.

Required Skills

  • Strong foundation in Artificial Intelligence, Machine Learning, and Deep Learning.

  • Strong Python programming experience.

  • Hands-on experience with LangChain, Hugging Face, and OpenAI APIs.

  • Experience building LLM-based applications and AI agents.

  • Experience with TensorFlow, PyTorch, or Keras.

  • Familiarity with multi-modal AI systems and data processing.

Cloud & AI Platforms

  • Experience with Amazon Bedrock, Google Model Garden, or Nvidia NIM.

  • Experience working with cloud-based AI/ML platforms.

Preferred Qualifications

  • Experience building RAG (Retrieval-Augmented Generation) systems.

  • Experience with agent frameworks or orchestration tools.

  • Strong problem-solving skills and ability to work in a fast-paced environment.

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: 10132070
  • Position Id: 8910993
  • Posted 9 hours ago
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