Generative AI Application Engineer

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12+ month(s)

Skills

python
AI
ML
LLMs

Job Details

Only local to Texas works only on w2 or 1099.

Job Title: Generative AI Application Engineer (Python and LLM Prompt Engineering)

Client: AT&T

Location: Austin, TX 78701 (hybrid)

Duration: 12+ Months with possible extension/conversion

Job Overview:

We are seeking a highly skilled and motivated Generative AI (GenAI) Application Engineer to join our team in Austin, TX.

The ideal candidate will have hands-on experience in building and deploying GenAI applications using Python, as well as a strong foundation in LLM prompt engineering, RAG pipelines, and vector database integration.

This role involves working closely with cross-functional teams to design, develop, and optimize AI-driven solutions that enhance user experience and operational efficiency.

Must-Have Skillsets:

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

Job Responsibilities:

  • Design and develop GenAI-powered applications using Python and modern AI frameworks.
  • Engineer and optimize prompts for LLMs.
  • Implement RAG pipelines aggregating data from such diverse sources 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.
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