Software Application Developer

Job summary

Design, build, and integrate Generative AI features and applications using LLMs, retrieval patterns, APIs, microservices, and cloud services. Deliver and support software across the full development lifecycle, including testing, deployment, SQL optimization, and troubleshooting.

Job details

Application Deadline: 10/17/2026 Address: 401 9th Avenue SW, Suite 1930 Job Family Group: Technology As a Gen AI Software Application Developer at BMO, you will focus on building and integrating Generative AI capabilities into enterprise applications. Working with technology and business partners, you will design intelligent solutions using large language models, AI services, and modern cloud platforms, while contributing to the full software development lifecycle. This role blends hands on software engineering with practical application of AI, enabling you to build scalable systems that enhance automation, decision making, and user experience. Key Responsibilities Design and develop Generative AI powered features using LLM based services and retrieval patterns Build AI enabled applications that support automation, summarization, and intelligent workflows Integrate AI capabilities into existing systems using APIs, microservices, and cloud-based services Use AI assisted development tools such as GitHub Copilot or similar to accelerate coding, testing, and documentation Validate AI generated outputs for accuracy, security, and maintainability before production use Deliver software solutions across design, development, testing, deployment, and support Build and maintain applications using Java, Spring Boot, Oracle, SQL, etc. in a microservices architecture Develop integrations using APIs, messaging systems, and data exchange formats Write and optimize SQL queries supporting application and AI data workflows Troubleshoot and resolve issues across development and production environments Required AI and Cloud Capabilities Hands on experience using AI assisted engineering tools such as GitHub Copilot or similar Working knowledge of Generative AI concepts including prompt engineering, LLM integration, and retrieval-based approaches Exposure to building or integrating AI powered application features Understanding of responsible AI practices including data privacy and secure usage Qualifications and Experience 3 to 6 years of experience in software development or AI enabled application development Hands-on experience to AWS cloud services including compute and AI capabilities Experience working with Java, Spring Boot, Oracle, SQL, and microservices architectures Familiarity with integrating APIs and messaging systems Experience working with relational databases and SQL Technical Skills Programming: Java, Spring Boot, & Python exposure preferred Architecture: Microservices and cloud native design Integration: APIs, messaging, JSON, XML Databases: Oracle SQL or equivalent Cloud: AWS including Lambda, EKS, S3, and AI services AI Engineering: LLM integration, RAG pipelines, vector databases, orchestration patterns Tooling: GitHub Copilot or similar AI assisted engineering tools Work Model Hybrid – 2–3 days per week in office Salary: $55,500.00 - $120,000.00 Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at https://jobs.bmo.com/ca/en. BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

What you’ll do

Design, build, and integrate Generative AI features and applications using LLMs, retrieval patterns, APIs, microservices, and cloud services. Deliver and support software across the full development lifecycle, including testing, deployment, SQL optimization, and troubleshooting.

Requirements

Requires 3–6 years of software development or AI-enabled application development experience, hands-on AWS experience, and familiarity with Java, Spring Boot, Oracle SQL, microservices, APIs, and messaging systems. Candidates should also have experience with AI-assisted engineering tools and working knowledge of LLM integration, prompt engineering, retrieval-based approaches, and responsible AI practices.

Benefits

• Health Insurance
• Tuition Reimbursement
• Accident Insurance
• Life Insurance
• Retirement Savings Plans
• Performance-Based Incentives
• Discretionary Bonuses

Listed skills

• Amazon Web Services · Preferred
• Java · Preferred
• prompt engineering · Preferred
• Spring Boot · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Java
• Spring Boot
• Python
• Generative AI
• Large Language Models
• Prompt Engineering
• Retrieval-Augmented Generation
• AWS
• Microservices
• API Integration
• Messaging Systems
• Oracle SQL
• Vector Databases
• GitHub Copilot
• Cloud-Native Design
• Responsible AI
• Software Solutions
• Large Language Modeling
• Cloud-Native Computing
• Cloud Services
• Vector Database
• Generative Artificial Intelligence
• Workflow Management
• Data Privacy
• Application Programming Interface (API)
• Artificial Intelligence
• Amazon Web Services
• Application Development
• Software Development
• Automation
• Decision Making
• Data Exchange
• Relational Databases
• Software Development Life Cycle
• Development Testing
• Programming Tools
• Economic Growth
• Health Insurance
• Scalability
• Spring Framework
• JSON
• Python (Programming Language)
• Milestones (Project Management)
• Oracle SQL Developer
• Coaching
• Software Engineering
• SQL (Programming Language)
• Tooling
• Troubleshooting (Problem Solving)
• XML Databases

Job areas

• Software
• Technology
• Data & Analytics
• Software Application Developer
• Application Developer / Engineer
• Software Developers

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