GenAI Application Engineer (Python & LLM Prompt Engineering) in Austin, TX / Atlanta, GA / Seattle, WA

Overview

On Site
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6 Month(s)

Skills

Python
AI ML
Agentic AI

Job Details

Location: Austin, TX / Atlanta, GA / Seattle, WA

Job Summary:

We are seeking a highly skilled and motivated GenAI Application Engineer to join our team in Austin, TX. The ideal candidate will have hands-on experience in building and deploying Generative AI applications using Python, with 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.

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.

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
Regards,
Dipesh

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