AI Engineer
Senior AI Engineer driving anticipatory banking solutions at Alkami. Focuses on building scalable ML models, data pipelines, and cloud-native services using Python, AWS, and advanced deep learning techniques to power digital banking and marketing automation.
Alkami is the digital sales and service platform provider for U.S. banks and credit unions. Our unified Platform integrates onboarding, digital banking, and data and marketing—each solution can stand alone, but together they deliver more—to help institutions onboard, engage, and grow relationships. As the future shifts toward Anticipatory Banking, we help data-informed bankers meet the moment with technology that drives action.
Founded in 2009, we continue to be recognized for our intentional culture and tremendous growth (Best Place to Work in Fintech; Best & Brightest to Work For Nationally; and Comparably’s Best Company Culture, Best Career Growth, Best Engineering Team, and Best Places to Work in Dallas, among others). We’re building a culture where each Alkamist can perform to their highest potential, and we’re always on the lookout for the best and brightest minds. If you’re ready to experience the power of alchemy - transforming the ordinary into the extraordinary - come join one of the fastest growing SaaS companies in the U.S.
As a remote-first company, most of our positions can be remote in the US, except for key roles, which will be indicated in the Job Title.
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Key Responsibilities & Duties:
Partner with the AI Engineering lead to ship features from day one, ramping quickly into independent contributions on the Elixir platform.
Complete a Forward Deployed Engineer (FDE) rotation in months 1–2 — embed with a business function to learn what the platform must support by being the one who needs it.
Contribute to Elixir’s core platform: skill execution runtime, tool/MCP registry, retrieval and memory primitives, evaluation harnesses, observability and cost telemetry, and multi-model routing.
Extend the skills surface: creating, editing, version control, AI assistance, testing, benchmarking, and permissions.
Build event-driven background agents — absorb support-ticket pre-triage, ambient agents, and webhook-driven flows into Elixir as native event-driven flows.
Productize what FDEs build — extract platform-level needs so each engagement compounds rather than serializes.
Make Elixir secure for production — PII handling, access control, audit logging, evaluation gates, sandboxing, and multi-tenant isolation.
Maintain clear and proactive communication with stakeholders and cross-functional partners.
Demonstrate self-sufficiency by independently managing tasks, problem-solving, and meeting deadlines while adapting to new challenges.
Qualifications:
5+ years of experience as a software, data, or AI engineer — the bar is “you’ve shipped production software with real users,” not pure tenure.
Fluent in Python and at least one typed language (TypeScript, C#, Java, or equivalent).
Internalized CS fundamentals: complexity analysis, recursion, algorithms, and data structures.
<Posted June 20, 2026