Generative AI Engineer

Taxwell is a leading digital tax filing platform formed from the combination of Drake Software® and TaxAct®. They are seeking a Generative AI Engineer to design, build, and deploy production-grade LLM-powered systems, focusing on implementing scalable generative AI capabilities embedded in tools and products.

Responsibilities:

• Design and implement LLM-powered applications supporting internal workflows and customer-facing features
• Build and optimize retrieval-augmented generation (RAG) pipelines grounded in proprietary documentation and structured data
• Develop agent-based and workflow-driven systems using frameworks such as LangChain, LangGraph, ADK, or similar
• Integrate commercial and open-weight LLMs into APIs and production services
• Implement prompt strategies, tool-calling workflows, and structured output generation
• Contribute to shared AI infrastructure including embeddings, vector search, evaluation tooling, caching, and monitoring
• Improve system performance through latency optimization, cost management, and retrieval tuning
• Partner with DevOps and platform teams to deploy scalable services in AWS
• Measure system performance using telemetry, experimentation, and user feedback

Requirements:

• 5–8+ years of software engineering experience
• 2+ years building and deploying LLM-powered or RAG-based systems in production
• Hands-on experience with embeddings, vector databases (e.g., Pinecone, Chroma, FAISS), and retrieval pipelines
• Experience building agent workflows and integrating LLM APIs
• Proficiency in Python or TypeScript
• Experience deploying systems in AWS environments
• Strong debugging and systems thinking skills
• Experience implementing evaluation frameworks (e.g., LangSmith)
• Experience optimizing latency and token cost
• Exposure to regulated industries (fintech, tax, healthcare)
• Experience fine-tuning or adapting open-weight LLMs