Job Title: Principal AI Engineer Company Name: Drake Software Job Url: https://www.linkedin.com/jobs/view/4376408627/?eBP=NOT_ELIGIBLE_FOR_CHARGING&trk=flagship3_search_srp_jobs&refId=%2BeSs3%2FHeiDX%2Bz37YUYmCcg%3D%3D&trackingId=z5NIpzigQeAjDE%2FvmqTUvA%3D%3D Job Description: Drake Software Principal AI Engineer United States · 20 hours ago · 76 applicants Promoted by hirer · Company review time is typically 1 week Remote Full-time Easy Apply Save Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features with Premium. Try Premium for PKR0 Show match details Tailor my resume Help me stand out People you can reach out to Meet the hiring team Kim Earhart • 3rd Senior Technical Recruiter at Taxwell, a leading digital tax filing platform formed in 2022 from the combination of Drake Software® and TaxAct®. Job poster Message About the job Drake Software is a leading digital tax filing platform which offers customers professional digital and downloadable products that are easy-to-use, best-in-class technology, and provide unparalleled customer support. We are a trusted solution for all users including those with complex tax returns. We strive to attract and retain candidates who exemplify our values: performance, perseverance, progress and partnership. Drake Software is a member of the Taxwell family of products. We are an organization of forward thinkers looking to add industry experts to our growing team. Job Description We are seeking a Principal AI Engineer to architect, build, and scale production-grade AI systems across Taxwell. This role spans internal AI platforms, customer-facing AI capabilities embedded in existing products, and the creation of AI-native offerings. You will operate as a senior, hands-on technical leader responsible for translating emerging AI capabilities into secure, reliable, and scalable systems with measurable business impact. This is not a research or experimentation role. You will own architecture, deployment, evaluation, and operational excellence for AI systems used by real users. RESPONSIBILITIES: Architect and deploy production LLM-powered systems across engineering, operations, tax, compliance, analytics, and customer workflows. Design and operate retrieval-augmented generation (RAG) systems grounded in proprietary documentation, structured data, and internal knowledge. Build shared AI infrastructure (model routing, evaluation pipelines, guardrails, observability, caching, cost controls) to enable safe and scalable AI adoption across teams. Implement agentic and workflow-driven systems using frameworks such as LangChain, LangGraph, ADK, or similar, with clear state management and error handling. Evaluate and integrate commercial and open-weight models based on performance, latency, cost, and compliance constraints. Establish rigorous evaluation frameworks (retrieval metrics, groundedness, latency, hallucination mitigation) and production monitoring standards. Embed AI into customer-facing products to improve personalization, accuracy, and user outcomes. Partner with platform, DevOps, and security teams to ensure reliability, scalability, governance, and regulatory compliance. Drive experimentation and telemetry to measure system impact and continuously improve performance. QUALIFICATIONS: 10+ years of software engineering experience, including 3+ years at Staff or Principal level with architectural ownership. Proven track record building and operating production AI systems serving real users at scale. Deep hands-on experience with LLM systems, including RAG architecture, agent orchestration, embeddings, and evaluation methodologies. Familiarity with vector databases and embeddings (e.g., Pinecone, FAISS, Chroma). Proficiency in Python and/or TypeScript. Experience integrating AI with enterprise APIs, structured data sources, and knowledge systems. Strong architectural judgment balancing rapid iteration with production reliability and cost discipline. PREFERRED: Experience building internal AI platforms or enterprise copilots. Experience delivering customer-facing AI features at scale. Experience in regulated industries (fintech, tax, healthcare). Experience fine-tuning or adapting open-weight LLMs and optimizing inference performance. At Taxwell, we believe our work benefits from the diverse perspectives of our employees. As such, Taxwell welcomes and celebrates diversity and inclusion and is committed to equal opportunity employment. At Taxwell, you can expect a supportive, open, and inclusive atmosphere and a team that values your contributions. Taxwell is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, gender identity, veteran status, and any other status protected under applicable law. Taxwell considers information gathered in the hiring process, including information on this application, confidential, and only shares it on a need-to-know basis or as required by law. If you need assistance or accommodation due to a disability, you may contact us at HR@Taxwell.com or by calling 828-349-5887 to speak with a member of the HR Talent Acquisition team. … more Featured benefits Medical insurance, Vision insurance, Dental insurance, 401(k) Requirements added by the job poster • 2+ years of work experience with LangChain • 3+ years of work experience with Large Language Models (LLM) • 2+ years of work experience with Retrieval-Augmented Generation (RAG)