AI Engineer with Tachyon Platform in Charlotte, NC - Hybrid

Overview

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

Skills

GitHub
AI
Tachyon

Job Details

AI Engineer 2 Positions

Location: Charlotte, NC (Hybrid On-site 2-3 days/week)

Job Summary:

We are seeking a highly motivated and experienced GenAI Engineer to join our team and play a critical role in designing, developing, and deploying innovative Generative AI solutions. You will be responsible for the entire lifecycle of GenAI projects, from prototyping and experimentation to building, evaluating, and deploying production-ready applications.

You will leverage your expertise in Large Language Models (LLMs), prompt engineering, RAG pipelines, and AI agents to solve complex business problems and drive significant value for the organization-specifically in the areas of incident summaries, batch recovery, and change assessments. A key aspect of this role is the ability to build full-fledged prototypes, including a user interface, to demonstrate the potential of GenAI solutions.

Key Responsibilities:

  • Prompt Engineering & Optimization:
    Design and refine advanced prompt templates for high-performing GenAI outputs across varied use cases, such as incident summaries, batch recovery, and change assessments. Focus on achieving measurable improvements in accuracy, efficiency, and user satisfaction.
  • RAG Pipeline Development:
    Develop and implement Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, llamaIndex, semantic search techniques, and vector databases (e.g., Elastic Search, Weaviate, Pinecone, Chroma). Optimize RAG pipelines for performance, scalability, data relevance, and cost-effectiveness.
  • AI Agent Development & Orchestration:
    Build and orchestrate modular AI agents capable of reasoning across multiple steps and acting within internal workflows (e.g., ServiceNow, Confluence, Jira, MS Teams). Implement agentic workflows for tasks such as automated problem resolution, knowledge discovery, and process automation.
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