Senior AI Engineer

About the role

The Senior AI Engineer is the technical force multiplier behind ClassWallet's AI transformation. Partnering directly with the Sr. Director, AI & Automation, you will design, build, and ship the AI agents, automations, and internal tools that accelerate how every team in the company gets work done.

Responsibilities

• Build and Ship
• Design, prototype, and deploy AI agents, LLM-powered workflows, and automations that measurably accelerate internal work across operations, finance, support, compliance, sales, and engineering
• Build production-grade integrations between AI systems and ClassWallet's stack — CRM, support, finance, ops, and engineering tools
• Develop reusable components, prompt libraries, evaluation frameworks, and internal platforms so AI adoption scales across the company
• Contribute AI capabilities to customer-facing product features in partnership with Product & Engineering
• Embed and Translate
• Sit alongside business teams to understand their workflows, identify high-leverage AI opportunities, and ship solutions to those teams directly
• Pair with non-technical employees to build, refine, and operationalize their own AI workflows
• Translate ambiguous business problems into concrete, shippable systems
• Set the Technical Bar
• Make pragmatic choices across the AI stack: LLMs, RAG, agent frameworks, RPA, low-code automation, and traditional software engineering — picking the right tool for the job
• Establish standards for AI development at ClassWallet: code quality, evaluation, monitoring, prompt management, and cost control
• Stay ahead of a fast-moving field and bring relevant innovations into the company before they're obvious
• Operate Responsibly
• Partner with the Sr. Director, AI & Automation and Legal/Compliance on responsible AI practices, data privacy, and regulatory alignment appropriate to fintech and public-sector data
• Build evaluation and observability into AI systems so we know they are working, improving, and behaving as intended

Requirements

• 6+ years of professional software engineering experience, with 2+ years building AI/ML or LLM-based systems in production
• Strong proficiency in Python and modern AI development tooling — OpenAI, Anthropic Claude, LangChain/LangGraph, LlamaIndex, or comparable agent and RAG frameworks
• Demonstrated experience designing and shipping AI agents and LLM workflows that solved real business problems with measurable outcomes
• Working fluency with automation platforms (Zapier, n8n, Make, UiPath, or similar) and the judgment to choose between code and low-code for the job at hand
• Comfort with APIs, webhooks, and integrating across SaaS systems (Salesforce, HubSpot, Jira, Slack, Google Workspace, etc.)
• Pragmatic engineering instincts — bias to ship, comfort with ambiguity, ability to deliver value quickly
• Strong communication skills; able to move fluently between executive stakeholders, business users, and engineers

Preferred Experience

• In fintech, govtech, or other regulated industries
• Familiarity with vector databases, embeddings, evaluation frameworks (e.g., Ragas, OpenAI Evals), and AI observability tooling (e.g., LangSmith, Helicone, Langfuse)
• Experience building internal AI platforms or developer tools that scaled across an organization
• Prior work shipping customer-facing AI features in a SaaS product
• Background in product engineering, data engineering, or applied MLA track record of coaching non-technical colleagues into productive AI users

Benefits

ClassWallet is a positive, family-oriented team environment. Our focus is on encouragement, positive reinforcement, and gratitude. We work hard and are highly motivated to win but with a healthy perspective on life. We offer an excellent salary and benefits commensurate with experience.

Pay

Commensurate with experience

Schedule

Hybrid or remote work setup, with periodic travel to HQ as needed