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 such as:Opportunity analysis and deal insightsStatement of Work (SOW) generationCustomer-facing presentation creationEngagement planning and strategy supportThe core platform is already in place. 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. No phone calls or emails will be accepted regarding this role. Candidates who apply through the relevant job board will receive a response if there is a potential fit.Engagement DetailsShort-Term ContractDuration: 46 weeks; Start week of June 1stHours: Full-time (40 hours/week)Time Zone: CSTCore collaboration hours: ~9 AM 4 PM CSTWork Authorization:Must be U.S.-basedMust be authorized to work in the U.S. without sponsorshipNo C2C or W2, 1099 onlyInterview Process:Candidate Screen via Zoom24-hr Coding Technical AssessmentInterview w/ Leadership Team via Zoom or In-PersonTechnical interview with Clients project leadMust be able to pass background check (criminal & employment verification)What Youll DoBuild and extend tools that power RAG-based agent workflowsDevelop integrations between AI pipelines and structured data sourcesWork within LangGraph / LangChain-style architectures (or similar patterns)Collaborate with engineering leads to deliver against sprint milestonesUse AI-assisted development tools (e.g., Claude Code) to increase velocity on repeatable tasksWhat Were Looking ForHands-on experience building RAG pipelines or retrieval-based AI systemsExperience working with LLMs and agent-based workflowsStrong Python experience within AI/ML ecosystemsComfortable shipping quickly and iterating in fast-paced environmentsInterest in automating repeatable workflows using AIExperience working with AI coding tools (e.g., Claude Code, Windsurf)Experience integrating with data warehouses or enterprise data platformsBackground in AI-native development workflowsExperience with Vue3.js or similar JavaScript LibrariesWhat Success Looks LikeQuickly ramping into an existing AI platformDelivering working components for agent-based workflowsContributing to a high-velocity, AI-assisted development environment
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