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ClassWallet

Senior AI Engineer

RemoteUnited States only
Published
Role
AI / ML
Experience
Senior
Employment
Full-time
Company size
Mid-size
Salary not disclosedModel estimate · $175k–$230k/yrMedium confidence · 80 comparable rolesMedian $210k · Based on role, seniority, location, requirements, company profile, employment type, and work arrangement
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior AI Engineer, 6+ yrs software engineering with 2+ yrs building AI/ML or LLM systems in production. Strong Python, LLM/agent/RAG frameworks (OpenAI, Anthropic, LangChain/LangGraph, LlamaIndex), automation platforms (Zapier, n8n, Make, UiPath). Must be US-based, remote or hybrid with periodic travel to HQ. Fintech/govtech experience preferred.

Core skills

LLMAI agentsRAG

Required skills

PythonOpenAIAnthropic ClaudeLangChain/LangGraph/LlamaIndexZapier/n8n/Make/UiPathAPIswebhooksSalesforceHubSpotJiraSlackGoogle Workspace

Optional skills

vector databasesembeddingsRagasOpenAI EvalsLangSmithHeliconeLangfuse

What you'll do

  • 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
  • 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
  • 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
  • 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

What they require

  • 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
  • Based in the US and able to work effectively in a remote or hybrid setup, with periodic travel to HQ as needed
  • Preferred: Experience in fintech, govtech, or other regulated industries
  • Preferred: Familiarity with vector databases, embeddings, evaluation frameworks (e.g., Ragas, OpenAI Evals), and AI observability tooling (e.g., LangSmith, Helicone, Langfuse)
  • Preferred: Experience building internal AI platforms or developer tools that scaled across an organization
  • Preferred: Prior work shipping customer-facing AI features in a SaaS product
  • Preferred: Background in product engineering, data engineering, or applied ML
  • Preferred: A 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.

ClassWallet is a leading financial technology company in the United States 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.

🇺🇸 United StatesFintechMid-size
Salary not disclosed