Senior AI Engineer
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About the role
ClassWallet, a leading financial technology company in the United States, is seeking to hire a Senior AI Engineer to join our team. ClassWallet is a financial technology company serving agencies delegated responsibility to manage public funds. Agencies use ClassWallet to get public funds to the right people, and ensure the funds are used for the right purpose. ClassWallet's suite of products and services empowers agency administrators to dramatically increase efficiency of funds distribution and spend compliance, reduce programmatic costs, maximize the full potential impact of the program, and satisfy the needs and expectations of policymakers, constituents and public reporting. ClassWallet has processed over $3.5 Billion to date and serves public agencies across 33 states. The Company has developed an industry-defining digital wallet solution which has gained rapid traction among state and local agencies and school districts across America. ClassWallet ranks as the 61st fastest growing software company on the prestigious Inc. 5000 list of fastest-growing private companies and the 21st fastest growing financial technology company on the Deloitte Technology Fast 500 in 2023. While the Company delivers immense business value, the social impact of ClassWallet is a fabric that runs through its mission and corporate culture. As a result of ClassWallet's innovation, public programs run with exponentially more efficiency and the impact and breadth of the programs for the individuals they serve is dramatically higher. This mission compliments the Company mission-based culture with focus on gratitude and work-life balance. 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 - and you will selectively contribute AI capabilities into our customer-facing products. This is a hands-on, builder-first role. You will spend your days writing code, prototyping agents, embedding with business teams to understand their workflows, and turning ambiguous problems into shipped solutions that produce measurable results in days and weeks - not quarters. You'll set the technical bar for how AI is built and operated at ClassWallet. If you light up at the idea of giving every employee a meaningful AI capability, watching teams transform their throughput, and occasionally putting that same craft into a product millions of dollars in public funds flow through, this is your role. What You'll Do 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 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, Googl
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