[Hiring] Principal AI Software Engineer @TAXWELL

Role Description

We are seeking a Principal AI Engineer to lead the design, development, and deployment of AI-powered systems across Taxwell. These systems include:

• AI tools and applications used across multiple internal departments (engineering, operations, support, product, tax, compliance, and more)
• Customer-facing AI capabilities embedded in our existing products
• The creation of entirely new AI-native products that leverage AI as a foundational capability

This is a senior, hands-on technical role for an engineer who has operated at the Principal level and has a strong track record of turning emerging AI capabilities into production-grade systems with real business impact. 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 to safely and effectively build AI-powered applications.
  • Build and maintain retrieval-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 AI powered solutions.
  • Ensure AI features meet high standards for reliability, explainability, and trust—especially in a regulated domain like tax.
• Technical Leadership & Strategy
  • Design and implement agent-based systems using frameworks such as LangChain, 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.

Qualifications

• 10+ years of software engineering experience, including 3+ years' operating at a Principal- or Staff-level role.
• Proven experience designing and deploying production AI systems used by real users.
• Strong hands-on experience with LLM-enabled systems, including prompt engineering, RAG, and agent orchestration.
• Proficiency in Python 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 at scale.
• 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).

Benefits

• Supportive, open, and inclusive atmosphere.
• A team that values your contributions.