Build scalable backend applications and integrate AI-powered workflows into complex financial services environments.
The Role
At Capco, we’re looking for a Java Backend Engineer with practical experience building AI-powered applications, workflows, and automation solutions within complex financial services environments.
This role combines strong Java backend engineering with hands-on AI development. You’ll build scalable backend services, integrate Large Language Models (LLMs) and AI capabilities into enterprise applications, and develop intelligent workflows that solve business problems and improve operational efficiency.
You’ll also use modern AI-assisted development tools to enhance engineering productivity while maintaining responsibility for code quality, security, and reliability. Working closely with business stakeholders, architects, and technology teams, you’ll help turn evolving requirements into practical, secure, and maintainable solutions.
What You’ll Do- Design, develop, test, and maintain scalable backend applications and microservices using Java and Spring Boot.
- Build AI-powered applications, workflows, and automation solutions using LLMs, AI APIs, and capabilities such as structured outputs and tool calling.
- Develop REST APIs and integrate AI capabilities with enterprise applications, data sources, and business processes.
- Use AI-assisted development tools such as GitHub Copilot, Cursor, Devin, or equivalent platforms to accelerate coding, testing, debugging, and delivery while maintaining engineering standards.
- Own technical deliverables from design through implementation, testing, deployment, and production support, collaborating with business and technology stakeholders to resolve complex problems.
- 4–6 years of hands-on software development experience, with strong proficiency in Java and backend application development.
- Solid experience with Spring Boot, REST APIs, microservices, system integrations, and modern software engineering practices.
- Practical experience building AI-enabled applications or workflows using LLM APIs, prompt engineering, structured outputs, or tool/function calling, beyond using AI coding assistants alone.
- Experience using AI-assisted development tools such as GitHub Copilot, Cursor, Devin, or equivalent, with the ability to review, validate, test, and securely maintain AI-generated code.
- Experience with automated testing, CI/CD, version control, troubleshooting, and end-to-end delivery, with an understanding of AI evaluation, output validation, guardrails, privacy, and security considerations.
- Experience with Python for AI development, automation, or supporting backend services.
- Familiarity with retrieval-augmented generation (RAG), embeddings, vector databases, or hybrid search.
- Exposure to Java AI frameworks such as Spring AI or LangChain4j, or frameworks such as LangChain or Semantic Kernel.
- Experience with AI agents, workflow orchestration, Model Context Protocol (MCP), or human-in-the-loop approval workflows.
- Experience with AWS, Azure, or GCP, Docker, Kubernetes, or financial services environments such as banking, payments, capital markets, or lending.
We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know—we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration—a mindset that shapes how we work with clients and each other every day.
Pay Transparency
The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment.
Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity.
