full stack developer in fintech

Ryan; Greater London; On-site; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Gym membership or equipment

LinkedIn Learning subscription

Tuition reimbursement

Accelerated career path

Mentorship and growth opportunities

Job summary

Enfint is seeking an Engineer to design, build, and improve AI-enabled full-stack software as part of a cross-functional team in Greater London. You will collaborate with engineers, business professionals, and end users to understand requirements and deliver practical AI-powered solutions.

Responsibilities include end-to-end delivery, working with LLMs, agent-based workflows, and APIs, while ensuring code quality, reliability, and scalable architecture.

Qualifications

• Bachelor’s or master’s degree in Computer Science, Engineering, AI/ML, or related field; or equivalent experience.
• 0–3 years of professional software engineering experience.
• Strong foundation in software engineering demonstrated across projects, internships, or contributions.
• Experience exploring generative AI, LLMs, or agentic systems.
• Ability to explain technical decisions and trade-offs clearly.

Responsibilities

• Design, build, and improve AI-enabled full-stack software in cross-functional teams.
• Collaborate with engineers, business professionals, and end users to deliver practical solutions.
• Participate in client-facing conversations and communicate technical concepts to diverse stakeholders.
• Learn from senior engineers and contribute knowledge and best practices.
• Work with customers to understand problems, workflows, and improvement opportunities.
• Determine where AI or agentic approaches add value to business processes.
• Deliver end-to-end AI-enabled applications: discovery, design, development, testing, deployment, iteration.
• Build apps with large language models, agent-based workflows, retrieval, and APIs.
• Support deployment and adoption of solutions used in real client environments.
• Consider users, data, integrations, and failure scenarios when designing solutions.
• Write high-quality, maintainable code and ensure reliability.
• Apply AI where it materially improves processes and outcomes.
• Evaluate when agentic solutions are appropriate versus deterministic software.
• Contribute to real-world solutions with measurable value and iterate based on feedback.

Skills

Python

TypeScript/JavaScript

Full-stack development

APIs

Git

Testing & debugging

Cloud platforms

AI/ML fundamentals

Education

Bachelor’s or Master’s in CS/Engineering/AI/ML or related

Tools

LangChain

LangGraph

AutoGen

Job description

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.