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Job description
Engagement Details
Short-Term Contract
Duration: 4–6 weeks; Start week of 6/1/26
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 with Client’s project lead
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 shipping quickly and iterating in fast-paced environments
Interest in automating repeatable workflows using AI
Experience working with AI coding tools (e.g., Claude Code, Windsurf)
Experience integrating with data warehouses or enterprise data platforms
Background in AI-native development workflows
Experience with Vue3.js or similar JavaScript Libraries
What Success Looks Like
Quickly ramping into an existing AI platform
Delivering working components for agent-based workflows
Contributing to a high-velocity, AI-assisted development environment
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Worksite address
atlanta, GA, 30383, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.