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AI Engineer - Remote Position

  • Source: LinkedIn
  • Torentify
  • Remote
  • United States
  • Full-Time
  • Mid level

Job Description

About the Role

We are seeking an experienced AI Engineer to design, develop, and deploy production-grade agentic AI systems using LLM Suite and OmniAI platforms. This role focuses on building LLM-powered applications, orchestrating multi-agent workflows, developing retrieval-augmented generation (RAG) pipelines, and securely integrating AI agents with enterprise data and platforms.

The successful candidate will work with business and technology stakeholders to identify valuable use cases and scale agentic AI solutions across the firm. The position is initially based in Charlotte, NC, with the possibility of transitioning to remote work.

Key Responsibilities

  • Design and deploy production-grade agentic AI systems using LLM Suite and OmniAI platforms.
  • Develop LLM-powered applications and multi-agent workflows using frameworks such as LangGraph and CrewAI.
  • Integrate AI agents securely with tools and enterprise systems through APIs and the Model Context Protocol (MCP).
  • Build and maintain retrieval-augmented generation (RAG) pipelines.
  • Integrate AI agents with firm data and platforms, including Athena and Fusion.
  • Develop AI solutions using Python and Java across AWS and private cloud infrastructure.
  • Implement evaluation frameworks to assess the performance and reliability of AI systems.
  • Establish guardrails, human-in-the-loop controls, and audit logging to support responsible AI deployment.
  • Ensure AI solutions meet Model Risk Management, Compliance, and Cybersecurity standards.
  • Collaborate with business and technology stakeholders to identify high-value use cases for agentic AI.
  • Support the scaling and adoption of agentic AI solutions across the firm.

Required Qualifications

  • At least 5 years of software engineering experience.
  • At least 2 years of experience working with large language models (LLMs).
  • Experience developing and deploying production-grade software systems.
  • Experience with LLM-based applications and agentic AI systems.
  • Programming experience with Python and Java.
  • Ability to work with APIs and integrate AI solutions with enterprise platforms.
  • Understanding of secure AI integration, evaluation, and governance requirements.

Position Details

  • Job Title: Agentic AI Engineer
  • Initial Location: Charlotte, NC
  • Work Arrangement: Initially location-based, with the possibility of transitioning to remote work
  • Technology Platforms: LLM Suite, OmniAI, AWS, and private cloud infrastructure
  • AI Technologies: LLMs, LangGraph, CrewAI, RAG, APIs, and MCP

Skills

  • LangGraph
  • crewai
  • Python
  • Java
  • amazon-web-services
  • guardrails
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