GenAI Application Engineer

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

GEN AI
Agentic AI
Python
LLM
Prompt Engineering
RAG pipelines
vector database
LangChain
TensorFlow
PyTorch

Job Details

Job Title: GenAI Application Engineer (Python & LLM Prompt Engineering)

Location: Austin, TX or Sunnyvale, CA (Hybrid)

Contract

Job Summary:

We are seeking a highly skilled and motivated GenAI Application Engineer. 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

Thanks & Regards,

Ron (Vineeth Damarla)

Lead Talent Acquisition Specialist Recruitment

American IT Systems

1116 S Walton Blvd, Suite 113 Bentonville, AR 72712

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