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U
Uphold
Senior Agentic Engineer
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What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$110,581 / year median in the U.S.
Job Description
Senior Agentic Engineer Uphold - 4.6 Clearwater, FL Job Details Full-time 4 hours ago Benefits Paid time off Work from home Employee assistance program Qualifications Software engineering Continuous Delivery (CD) implementation Tooling System design English AI platforms (beyond public GPTs) Computational framework Infrastructure architecture design System design for system development DevOps automation Machine learning frameworks Developer tools Design (software development lifecycle) Cross-functional communication Full Job Description About Uphold Uphold is a financial technology company that believes on-chain services are the future of finance. We provide modern infrastructure for on-chain payments, banking and investments. Offering Consumer Services, Business Services and Institutional Trading, Uphold makes pioneering financial services easy and trusted for millions of customers in more than 140 countries. Uphold integrates with over 30 trading venues, including centralized and decentralized exchanges, to deliver superior liquidity and optimal execution. Uphold never loans out customer assets and is always 100% reserved. The company pioneered radical transparency and uniquely publishes its assets and liabilities every 30 seconds on a public website (Transparency Page). Uphold strips away the complexity to open up Web3 finance for everyone. To learn more about Uphold, please visit https://uphold.com. About the role Uphold is looking for a Senior Agentic Engineer to help build the systems and pipelines that power our AI-native approach to software development. In this role, you'll work hands-on designing, building, and iterating on agentic development infrastructure - the orchestration layers, automation pipelines, and tooling that enable AI agents to participate meaningfully in our engineering workflows. We're rebuilding how software ships at Uphold. You'll turn architecture into the production systems that multiply every engineer's output. Your Impact Design and build agentic development pipelines that take features from specification through to pull request with human oversight at every critical stage. Create the orchestration infrastructure that enables AI agents to collaborate effectively with engineers across the development lifecycle. Directly improve engineering velocity by shipping tooling that reduces cycle time from idea to production. Establish patterns and best practices for agentic system design that scale across the organization. Contribute to making Uphold one of the first fintech companies to operate with a truly AI-native engineering workflow. What You'll Be Doing Primarily Build and maintain agentic orchestration systems that coordinate AI agents across code generation, testing, review, and deployment stages. Design and implement the feedback loops, guardrails, and quality gates that ensure agentic output meets production standards in a regulated fintech environment. Develop internal tooling and developer experience improvements that make agentic workflows accessible and reliable for the wider engineering team. Iterate rapidly on pipeline architecture — running experiments, measuring impact on engineering throughput, and doubling down on what works. Collaborate closely with the Agentic Engineering Lead to translate strategic AI adoption goals into concrete, shippable systems. Evaluate and integrate AI models, coding assistants, and agent frameworks, providing hands-on assessments of what works for our specific stack and domain. Instrument and monitor agentic systems to ensure reliability, security, and compliance — particularly important given Uphold's regulatory obligations. Required Qualifications 7+ years of software engineering experience with strong fundamentals in system design and architecture. Hands-on production experience with agentic AI frameworks and modern AI coding assistants integrated into your own daily workflow. Solid understanding of CI/CD pipelines, developer tooling, and infrastructure automation. Comfort working in ambiguous, rapidly evolving problem spaces where you're defining the approach as you go. Strong communication skills — able to document systems clearly and collaborate effectively across teams. A builder's mindset: you'd rather ship a working V1 and iterate than debate the perfect architecture in a doc. Fluency in English (written and spoken). Bonus Points If You Have Experience in fintech, crypto, or regulated industries. Background in developer experience, internal tools, or platform engineering. Contributions to open-source projects related to AI/ML tooling or developer infrastructure.