Description:

We are seeking aPrincipal AI Engineerto lead the design, development, and deployment of AI-powered systems acrossTaxwell. These systems include:

• AI tools and applications used acrossmultiple internal departments(engineering, operations, support, product, tax, compliance, and more)

• Customer-facing AI capabilitiesembedded in our existing products

• The creation ofentirely new AI-native productsthatleverageAI as a foundational capability

This is a senior, hands-on technical role for an engineer who hasoperatedat thePrincipallevel and has a strongtrack recordof turning emerging AI capabilities into production-grade systems withreal businessimpact. You will act as both a technical leader and a multiplier shaping architecture, setting standards, and enabling teams across the company to build effectively with AI.

RESPONSIBILITIES:

AI Platforms & Internal Enablement

• Design and build AI-powered tools that improve productivity across engineering and non-engineering teams (e.g., developer workflows, customer support tooling, tax development, operations, compliance, and analytics).

• Develop internal AI platforms, shared services, and reusable components that enable teams tosafely and effectively build AI-powered applications.

• Build andmaintainretrieval-augmented generation (RAG) systems grounded in internal documentation, codebases, tax knowledge, and proprietary data.

• Partner with DevOps, platform, and security teams to ensure AI systems are scalable, observable, secure, and compliant.

Customer-Facing AI & AI-Native Products

• Embed AI capabilities into existing Taxwell products to improve accuracy, usability, personalization, and customer outcomes.

• Architect and build new customer-facing products where AI is a core differentiator, not an add-on.

• Work closely with product, design, and tax domain experts to translate real user problems into effective AIpoweredsolutions.

• Ensure AI features meethigh standardsfor reliability, explainability, and trust especially in a regulated domain like tax.

Technical Leadership & Strategy

• Design and implement agent-based systems using frameworks such asLangChain,LangGraph,ADK,or similar.

• Evaluate and integrate commercial and open-source AI technologies, including frontier models and open-weight LLMs.

• Establish best practices for prompt engineering, evaluation, monitoring, and continuous improvement of AI systems.

• Influence AI architecture and technical direction across the organization through design review and hands-on collaboration.

• Measure system effectiveness using telemetry, automated metrics, and qualitative feedback from internal and external users.

REQUIRED QUALIFICATIOS:

• 10+ years of software engineering experience, including 3+years' operatingataPrincipal- or Staff-level role.

• Proven experience designing and deployingproductionAI systems used by real users.

• Strong hands-on experience with LLM-enabled systems, including prompt engineering, RAG, and agent orchestration.

• ProficiencyinPython and/or TypeScript.

• Experience integrating AI systems with real-world applications, workflows, and data sources.

• Familiarity with vector databases and embedding techniques (e.g., Pinecone, FAISS, Chroma).

• Experience deploying and operating systems on AWS, GCP, or Azure.

• Strong architectural judgment and the ability to balance experimentation with production rigor.

PREFERRED QUALIFICATIONS:

• Experience building AI platforms or internal copilots used across multiple teams or departments.

• Experience developing customer-facing AI products atscale.

• Background in regulated industries such as fintech, tax, or healthcare.

• Experience fine-tuning or customizing open-weight models (e.g.,GPT-OSS-120B, Mistral 3, GLM-4.7).