Senior AI Engineer

Company: Tuck Software Group

Location: Atlanta Metropolitan Area (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-08-06

About this role

Please no phone calls, emails, or direct messages regarding this role. Candidates who apply through LinkedIn will receive a response if there is a potential fit.

Engagement Details

  • Refreshing our bench of AI Engineers
  • Hours: Full-time (40 hours/week)
  • Time Zone: CST

Core collaboration hours: ~9 AM – 4 PM CST

Work Authorization:

  • Must be U.S.-based
  • Must be authorized to work in the U.S. without sponsorship
  • No C2C or W2
  • 1099 only

Interview Process:

  • Candidate Screen via Zoom
  • Timed Coding Technical Assessment
  • Interview w/ Leadership Team via Zoom or In-Person
  • Technical Interview
  • Must be able to pass background check (criminal & employment verification)

About the Opportunity

Tuck Software Group is supporting the development of an AI-native presales acceleration platform used by enterprise teams to automate high-value, repeatable workflows.

  • This platform connects directly to large-scale data systems and leverages a RAG-based architecture with agent-driven workflows to streamline activities.

This engagement is focused on accelerating development of agent workflows and underlying tools ahead of a key milestone.

You will work closely with a small, highly technical team and contribute directly to production systems.

There is zero ramp up time available.
You must be able to contribute on day one.

What You’ll Do

  • Build and extend tools that power RAG-based agent workflows
  • Develop integrations between AI pipelines and structured data sources
  • Work within LangGraph / LangChain-style architectures (or similar patterns)
  • Collaborate with engineering leads to deliver against sprint milestones
  • Use AI-assisted development tools (e.g., Claude Code) to increase velocity on repeatable tasks

What We’re Looking For

  • Hands-on experience building RAG pipelines or retrieval-based AI systems
  • Experience working with LLMs and agent-based workflows
  • Strong Python experience within AI/ML ecosystems
  • Comfortable sh...

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