Senior AI Engineer

Engagement Details • Short-Term Contract • Duration: 4–6 weeks; Start week of May 15th • 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 OpportunityTuck 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