1 day ago
London, United KingdomEntry Level / Mid Level
Responsibilities
- Design, build, test, deploy, and improve AI-enabled full-stack applications.
- Work with business professionals, customers, and end users to understand workflows, requirements, and opportunities for improvement.
- Determine when generative AI, LLMs, agents, retrieval, and AI-enabled workflows provide meaningful value versus when traditional software is more appropriate.
- Develop maintainable, dependable code and contribute across the full delivery lifecycle.
- Consider users, data, integrations, business rules, human oversight, and failure scenarios in enterprise solution design.
- Iterate on deployed applications using user feedback, performance, reliability, and adoption results.
- Collaborate with cross-functional engineering teams and participate in client-facing technical conversations.
- Use AI-assisted coding tools while validating and maintaining understanding of the generated code.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, AI/ML, or a related technical field, or equivalent relevant experience.
- Suitable for recent graduates and candidates with approximately 0–3 years of professional software engineering experience.
- Strong software engineering foundation demonstrated through professional work, internships, university or personal projects, open-source contributions, hackathons, or equivalent technical experience.
- Proficiency in at least one general-purpose programming language such as Python, TypeScript, or JavaScript.
- Experience building full-stack applications through professional, internship, academic, or independent development.
- Understanding of APIs, databases, Git, testing, debugging, and application architecture.
- Familiarity with frontend and backend development using technologies such as React, Node/TypeScript, Python/FastAPI, or similar.
- Conceptual understanding of cloud platforms such as AWS, Azure, or GCP; deployment experience is beneficial but not required.
- Interest in and hands-on exploration of generative AI, large language models, or agentic systems.
- Exposure to LLM APIs, agentic workflows, retrieval, vector databases, or agent frameworks such as LangChain, LangGraph, or AutoGen.
- Familiarity with AI-assisted coding tools such as Claude Code or Codex and the ability to validate and understand AI-generated code.
- Ability to explain technical decisions, trade-offs, and personal contributions in detail.
Benefits
- Competitive compensation and benefits.
- Business connectivity reimbursement for phone and internet.
- Gym membership or equipment reimbursement.
- LinkedIn Learning subscription.
- Flexible work environment with a hybrid work arrangement.
- Tuition reimbursement after one year of service.
- Accelerated career path.
- Award-winning culture and community outreach.
Categories
About Ryan, LLC
Ryan, LLC is a privately held tax services and software firm that helps corporations manage federal, state, local, and international business taxes. Headquartered in the Dallas–Fort Worth area, it offers fee-based consulting, recovery, compliance, and risk services alongside proprietary tax technology for compliance, credits and incentives, property tax, and unclaimed property. The company serves enterprise clients across sectors and operates globally.