Senior AI Engineer

About the role

We started our company to help others launch and run their own businesses, at any stage. The way we help is by keeping it simple and supporting entrepreneurs one step at a time. Put simply: our mission is to enable anyone to start, run, and grow their business while avoiding the common pitfalls that derail hopeful entrepreneurs. No more having to wade through forms, taxes, or ongoing state compliance. We are a remote company based in Austin, Texas. We have team members from Florida to Oregon and all points in-between. Take pride in your work knowing that it shapes how people all across the country reach their goal of starting, running, and growing their business. If the idea of helping people and working with a genuinely caring, supportive team excites you, then you've come to the right place. In this role, you will work alongside engineers on the AI Platform team to design, build, and maintain the platform that powers our customer-facing AI tools. You will contribute to systems for prompt management, model evaluation, and knowledge base maintenance, while also helping integrate AI models into production systems and supporting the reliability and performance of the platform. This position will report to the Engineering Manager of the AI Platform team, which sits within the broader AI Products division of the Engineering org. The AI Platform team is responsible for building and maintaining the internal platform used to manage prompts, run evaluations, and maintain knowledge bases that power our customer-facing AI tools. This is a remote role.

Responsibilities

• Build and maintain APIs that integrate generative AI models into production systems,
• with a focus on scalability and low latency.
• Collaborate with cross-functional teams to identify use cases for generative AI, define
• requirements, and contribute to impactful solutions.
• Implement and optimize workflows for model inference using large-scale pre-trained
• models.
• Contribute to generative AI model pipelines, supporting monitoring and ongoing
• performance.
• Conduct experiments to evaluate generative AI models against real-world performance
• metrics such as fluency, coherence, and factual accuracy.
• Stay current with advancements in generative AI research and help integrate new
• techniques into the organization's capabilities.
• Support the reliability, scalability, and security of generative AI systems in deployment
• Document processes, architectures, and technical decisions to facilitate collaboration
• and future improvements.

Requirements

• 4+ years of experience in ML/AI engineering, with experience contributing to generative
• AI products.
• Experience with LLM design patterns, including Retrieval-Augmented Generation (RAG),
• as well as familiarity with broader search and retrieval systems such as vector search,
• semantic search, and document indexing.
• Strong knowledge of large language model (LLM) concepts including prompt
• engineering, AI feature evaluation, and working with vector databases.
• Experience working with Vertex AI or similar managed AI platforms.
• Hands-on experience with LLM evaluation frameworks, including dataset management,
• recall testing, and LLM-as-judge patterns.
• Familiarity with experiment tracking tools such as Weights & Biases.
• Working knowledge of MLOps practices: deployment, model monitoring, and CI/CD
• workflows.
• Strong problem-solving, system design, and technology decision-making skills.
• Some exposure to application development, such as contributing to or building simple
• software applications.
• Experience with Node.js and/or TypeScript, particularly in building or maintaining API
• services.
• Experience designing and versioning REST APIs.
• Working knowledge of PostgreSQL, including schema design, migrations, and JSONB
• usage.
• Bonus Qualifications
• Familiarity with the GCP ecosystem.

Benefits

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