Note: The job is a remote job and is open to candidates in USA. Taxwell is a leading digital tax filing platform formed from the combination of Drake Software and TaxAct. They are seeking a Principal AI Engineer to lead the design, development, and deployment of AI-powered systems across the company, focusing on customer-facing capabilities and internal platforms.

Responsibilities

• Design and build AI-powered applications for internal users and customers
• Architect and deploy agentic and multi-agent systems that automate workflows and solve complex business problems
• Build and optimize retrieval-augmented generation (RAG) systems using proprietary data and knowledge sources
• Fine-tune, adapt, and evaluate foundation models for domain-specific use cases
• Develop shared AI platforms, services, and tooling that enable teams to build AI-powered solutions efficiently
• Evaluate and integrate commercial, open-weight, and frontier AI models
• Partner with Product, Engineering, Operations, Security, and business stakeholders to identify and deliver high-impact AI initiatives
• Establish best practices for AI architecture, evaluation, observability, governance, and reliability
• Measure system effectiveness through experimentation, telemetry, and user feedback

Skills

• 8+ years of experience in software engineering, ML, NLP, applied AI, Data Science, or related disciplines
• Proven experience designing, deploying, and operating production AI systems
• Strong hands-on experience with LLMs, RAG, agent orchestration, and AI-powered applications
• Experience designing and deploying agentic and multi-agent systems
• Experience fine-tuning, adapting, or evaluating foundation models using techniques such as SFT, LoRA, QLoRA, reinforcement learning approaches, or other parameter-efficient methods
• Strong understanding of model behavior, embeddings, retrieval systems, evaluation frameworks, and AI system performance
• Strong Python development skills
• Experience with vector databases and semantic retrieval architectures
• Experience deploying cloud-native applications on AWS, Azure, or GCP
• Strong systems design and architectural skills
• Background in machine learning, NLP, information retrieval, applied AI, or data science
• Experience with MCP (Model Context Protocol), tool integration frameworks, and agent communication architectures
• Experience with LangGraph, LangChain, ADK, CrewAI, AutoGen, or similar frameworks
• Experience building AI platforms, copilots, or workflow automation solutions
• Experience developing customer-facing AI products
• Experience building vertical AI applications or domain-specific AI products
• Experience in regulated industries such as fintech, tax, healthcare, or financial services

Company Overview

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