full stack developer in fintech

Описание: Ryan provides financial services and develops enterprise solutions that improve business workflows and client outcomes. Задачи: Design, build, and improve AI-enabled full-stack software as part of a cross-functional engineering team; Collaborate with engineers, business professionals, and end users to understand requirements and deliver practical solutions; Participate in client-facing conversations and communicate technical concepts to technical and non-technical stakeholders; Learn from experienced team members and contribute knowledge, ideas, and emerging best practices; Work with business professionals and customers to understand problems, workflows, and improvement opportunities; Determine where generative AI or agentic approaches can create meaningful value; Contribute to the end-to-end delivery of AI-enabled applications, including discovery, solution design, development, testing, deployment, and iteration; Build full-stack applications incorporating large language models, agent-based workflows, retrieval, APIs, and other AI capabilities; Support the deployment and adoption of solutions used by real users in business and client environments; Consider users, data, integrations, business rules, human oversight, and failure scenarios when designing solutions; Write high-quality, maintainable code for dependable software; Apply AI where it materially improves a process, user experience, decision, or business outcome; Evaluate when agentic solutions are appropriate and when deterministic software is preferable; Contribute to solutions addressing real-world problems and generating measurable value; Iterate on deployed applications based on user feedback, performance, reliability, and adoption; Balance speed, scope, and engineering quality during delivery; Use AI-assisted coding tools while maintaining ownership and understanding of the generated code. Требования: Bachelor’s or master’s degree in Computer Science, Engineering, AI/ML, or a related technical field, or equivalent relevant experience; Approximately 0–3 years of professional software engineering experience, including recent graduates; Strong software engineering foundation demonstrated through professional work, internships, university projects, personal projects, open-source contributions, hackathons, or equivalent technical experience; Hands-on exploration of generative AI, large language models, or agentic systems; Ability to explain technical decisions, trade-offs, and personal project contributions in detail; Strong interest in applying AI to enterprise workflows and software architecture; Proficiency in at least one general-purpose programming language, such as Python, TypeScript, or JavaScript; Experience building full-stack applications through professional work, internships, academic projects, or independent development; Strong understanding of APIs, databases, Git, testing, debugging, and application architecture; Familiarity with frontend and backend development; Conceptual understanding of cloud platforms; Familiarity with AI-assisted coding tools and ability to validate and understand AI-generated code; Nice to have: hands-on cloud deployment experience, experience with LLM APIs, agentic workflows, retrieval, vector databases, LangChain, LangGraph, or AutoGen. Условия: Competitive compensation and benefits; Business connectivity reimbursement for phone and internet; Gym membership or equipment reimbursement; LinkedIn Learning subscription; Tuition reimbursement after one year of service; Accelerated career path; Award-winning culture and community outreach; Active mentorship and structured growth opportunities.