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