Role overview
Direct message the job poster from Taxwell
Kim Earhart
Kim Earhart
Taxwell is a leading digital tax filing platform formed in 2022 from the combination of Drake Software® and TaxAct®. These two longstanding organizations offer customers professional and do-it-yourself digital and downloadable products that are easy-to-use, best-in-class technology, and provide unparalleled customer support. Taxwell brands 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. Taxwell is an organization of forward thinkers looking to add industry experts to our growing team.
Job Description
We are seeking a Generative AI Engineer to design, build, and deploy production-grade LLM-powered systems across Taxwell. This role focuses on implementing scalable, reliable generative AI capabilities embedded in internal tools and customer-facing products. You will work hands-on with retrieval systems, agent workflows, and model integrations to deliver measurable business impact.
You will collaborate closely with platform, product, data, and security teams to translate AI use cases into secure, production-ready systems.
What we're looking for
Design and implement LLM-powered applications supporting internal workflows and customer-facing features.
Build and optimize retrieval-augmented generation (RAG) pipelines grounded in proprietary documentation and structured data.
Develop agent-based and workflow-driven systems using frameworks such as LangChain, LangGraph, ADK, or similar.
Integrate commercial and open-weight LLMs into APIs and production services.
Implement prompt strategies, tool-calling workflows, and structured output generation.
Contribute to shared AI infrastructure including embeddings, vector search, evaluation tooling, caching, and monitoring.
Improve system performance through latency optimization, cost management, and retrieval tuning.
Partner with DevOps and platform teams to deploy scalable services in AWS.
Measure system performance using telemetry, experimentation, and user feedback.
5–8+ years of software engineering experience.
2+ years building and deploying LLM-powered or RAG-based systems in production.
Hands-on experience with embeddings, vector databases (e.g., Pinecone, Chroma, FAISS), and retrieval pipelines.
Experience building agent workflows and integrating LLM APIs.
Proficiency in Python or TypeScript.
Experience deploying systems in AWS environments.
Strong debugging and systems thinking skills.
Experience implementing evaluation frameworks (e.g., LangSmith).
Experience optimizing latency and token cost.
Exposure to regulated industries (fintech, tax, healthcare).
Experience fine-tuning or adapting open-weight LLMs.
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 [email protected] or by calling 828-349-5887 to speak with a member of the HR Talent Acquisition team.
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Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development