GenAI Application Engineer

Overview

On Site
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 19 day((s))
50% Travel

Skills

GenAI
Prompt

Job Details

Required Skills:

  • Proficiency in Python and experience with AI/ML libraries (e.g., LangChain, Hugging Face, PyTorch, TensorFlow).
  • Agentic AI
  • Strong understanding of LLMs, prompt engineering, and RAG architecture.
  • Experience with vector databases
  • Familiarity with cloud platforms

Key Responsibilities:

  • Design and develop GenAI-powered applications using Python and modern AI frameworks.
  • Engineer and optimize prompts for LLMs.
  • Implement Retrieval-Augmented Generation (RAG) pipelines aggregating data from diverse sources such as conversation histories and product documentation
  • Integrate and manage vector databases for semantic search and context retrieval.
  • Collaborate with product managers, data scientists, and DevOps teams to deliver scalable AI solutions.
  • Fine-tune pre-trained LLMs for domain-specific tasks and performance improvements.
  • Ensure robust testing, monitoring, and documentation of AI models and pipelines.

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.

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