Java Backend Engineer – AI

Capco is hiring a Java Backend Engineer – AI in Toronto, Canada. Level rates it ; you can apply on Capco.

Level's read on this job

Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Copilot, LangChain and Semantic Kernel among its tools and skills.
Level classes it as a mid-level role.
Capco has 702 other open roles on Level.

AI in this role

copilotlangchainsemantic-kernelcursordevin

prompt-engineeringragai-agentsai-evaluation

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.

What We’re Looking For

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.

Bonus Points For

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.

Inclusion at Capco

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.

Why This Role Is Open We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact. Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination. AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

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.

Canada Pay Transparency$92,000—$118,000 CAD

How we rate this

Java Backend Engineer – AI at Capco rates 63 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Java Backend Engineer – AI is an open job at Capco.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Canada - Toronto.
The job was posted on October 9, 2026.
Seniority: mid.
Applications are handled by Capco. Apply on Capco

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGAI agentsAI EvaluationCopilotLangChainSemantic KernelCursor

Also common in software engineer jobs at this level

TypeScript C++React Machine learning SQL Rust

Pay

Typical software engineer job: $167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
How do you decide that one model's output is better than another's for a given task?
Walk me through how you've used Copilot in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Prompt engineering, RAG, AI agents, AI Evaluation, and Copilot. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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