
Principal AI Software Engineer
Posted Oct 19

Posted Oct 19
This is a fully remote position, open to applicants in United States.
β’ Oversee the design, development, and implementation of AI-driven systems throughout Taxwell.
β’ Create and implement AI-enhanced tools that boost productivity across both engineering and non-engineering teams.
β’ Develop internal AI infrastructures, shared services, and reusable components.
β’ Construct and sustain retrieval-augmented generation systems based on internal documentation, codebases, tax knowledge, and proprietary data.
β’ Collaborate with DevOps, platform, and security teams to guarantee AI systems are scalable, observable, secure, and compliant.
β’ Integrate AI capabilities into existing Taxwell products to enhance accuracy, usability, personalization, and customer outcomes.
β’ Design and create new customer-facing products where AI serves as a key differentiator.
β’ Work alongside product, design, and tax domain experts to transform user challenges into AI-powered solutions.
β’ Ensure AI functionalities adhere to standards for reliability, explainability, and trust within the regulated tax domain.
β’ Design and implement agent-based systems utilizing LangChain, LangGraph, ADK, or similar frameworks.
β’ Assess and incorporate commercial and open-source AI technologies, including frontier models and open-weight LLMs.
β’ Set best practices for prompt engineering, evaluation, monitoring, and ongoing improvement.
β’ Shape AI architecture and technical direction through design reviews and hands-on collaboration.
β’ Evaluate system effectiveness through telemetry, automated metrics, and qualitative user feedback.
β’ Over 10 years of experience in software engineering.
β’ At least 3 years in a Principal or Staff-level position.
β’ Demonstrated experience in designing and deploying production AI systems utilized by real users.
β’ Strong hands-on expertise with LLM-enabled systems, including prompt engineering, RAG, and agent orchestration.
β’ Proficiency in Python and/or TypeScript.
β’ Experience in integrating AI systems with real-world applications, workflows, and data sources.
β’ Familiarity with vector databases and embedding techniques, such as Pinecone, FAISS, and Chroma.
β’ Experience in deploying and managing systems on AWS, GCP, or Azure.
β’ Strong architectural judgment with the ability to balance experimentation and production rigor.
β’ Experience in constructing AI platforms or internal copilots employed across various teams or departments.
β’ Proven track record in developing customer-facing AI products at scale.
β’ Background in regulated industries such as fintech, tax, or healthcare.
β’ Experience in fine-tuning or customizing open-weight models, including GPT-OSS-120B, Mistral 3, and GLM-4.7.
β’ Supportive, open, and inclusive work environment.
β’ Commitment to equal employment opportunities.
β’ Disability accommodations available during the hiring process.
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