We are seeking an AI Software Engineer to join our AI program, building scalable, enterprise AI solutions that connect internal systems with LLM-driven workflows.This is a high-ownership, high-velocity role.You will be expected to move quickly from requirements to production-ready code while leveraging AI-assisted development tools (e.G., Cursor, Claude Code) to accelerate output.You will build fullstack applications, including frontend interfaces, backend services, APIs, and integrations that power AI-driven applications, including agent-based systems and intelligent workflows.We are looking for someone who:Rapidly translates requirements into working code with minimal guidanceActively uses AI tools to increase speed and effectivenessHas a strong bias toward action—build, test, iterateTakes full ownership of problems and drives them to resolutionThrives in ambiguity and figures things out independentlyDemonstrates a passion for building (projects, experimentation, etc.)Key ResponsibilitiesBuild and maintain frontend applications, backend services, and APIs using Python, Java, and modern frontend frameworksDevelop AI-powered workflows, including agent-based systems and integrationsUse AI-assisted tools to accelerate development and iterationTranslate requirements into scalable, working solutionsIntegrate with enterprise systems via APIs and event-driven patternsWrite clean, testable, production-quality codeContribute to CI/CD and automated validationDebug and improve system performance and reliabilityCollaborate with the team while owning and delivering your workQualificationsBachelor's degree in Computer Science, Computer Information Systems, Business Information Systems, or related fieldStrong Python and Java fundamentalsExperience building APIs or backend servicesUnderstanding of APIs, JSON, and system integrationsInterest in AI/LLMs and modern development practicesExperience with or interest in AI IDEs (Cursor, Claude Code)Familiarity with Git and Agile developmentNice to Have:Exposure to LLMs, agents, or prompt engineeringDocker, Azure, or cloud experienceBasic knowledge of distributed or event-driven systemsExperience with testing frameworks (pytest, Playwright)Experience with databases (Postgres, Redis)What Success Looks LikeYou deliver working solutions quickly and iterate fastYou use AI tools to meaningfully increase outputYou take ownership and drive problems to completionYou proactively improve systems, code, and workflowsWhy JoinBuild real, production AI systemsWork with modern AI architectures and toolsOperate in a fast-paced, high-impact environmentDevelop skills that compound quickly in AI engineering
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