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Fullstack Java Jobs in Toronto, ON (NOW HIRING)

BDO Canada

AI Engineer

Toronto, ON · On-site

CA$77K - CA$117K/yr

Collaborate closely with AI Architects, AI Studio Leads, ML Engineers, Data Scientists, FullStack ... Expertlevel proficiency in Python, with working familiarity in Java and/or TypeScript for ...

Spotify

Backend Engineer - User Platform

Toronto, ON · On-site

You are a Fullstack Developer who understands the complexities of Server side vs Client side ... with Java, SQL and ideally familiar with React, Typescript, Next.js * You're a collaborative ...

Fidelity International

Technical Lead

Toronto, ON · Hybrid

... as a fullstack developer * 2+ years working as a team lead is an asset * Experience in typescript/node or java/spring boot on backend, typescript/react/angular on frontend. * Strong experience ...

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All JobsFullstack Java JobsFullstack Java Jobs in Toronto, ON

Fullstack Java information

What are the key skills and qualifications needed to thrive as a Fullstack Java Developer, and why are they important?

To thrive as a Fullstack Java Developer, you need strong proficiency in Java, front-end technologies (like HTML, CSS, JavaScript), and frameworks such as Spring and Angular or React, often supported by a relevant degree or certifications. Familiarity with databases (SQL/NoSQL), version control systems (like Git), and CI/CD tools is typically required. Problem-solving ability, effective communication, and adaptability are standout soft skills for collaborating across teams and addressing dynamic project needs. These capabilities are crucial for delivering robust, scalable applications and ensuring seamless integration between front-end and back-end systems.

Is it fullstack or full stack?

The correct term for the job role is 'Fullstack Java,' which is often written as one word or hyphenated as 'Full-Stack Java.' Both forms are used interchangeably, but 'fullstack' as a single word is more common in job titles and descriptions. The role involves working on both front-end and back-end development using Java technologies.

What is the meaning of fullstack?

A Fullstack Java developer is someone who works on both the front-end (user interface) and back-end (server, database) parts of web applications using Java technologies. They have skills in multiple programming languages, frameworks, and tools to develop complete software solutions. This role often requires knowledge of HTML, CSS, JavaScript, and Java-based frameworks like Spring Boot.

What is a Fullstack Java developer?

A Fullstack Java developer is a software professional skilled in both front-end and back-end development using Java and related technologies. They are capable of building complete web applications, handling everything from user interface design to database management and server-side logic. Typically, they work with Java frameworks like Spring or Java EE on the backend, and may use front-end technologies such as HTML, CSS, JavaScript, and frameworks like Angular or React. Fullstack Java developers are valued for their versatility and ability to manage end-to-end software projects.

Which is better, DevOps or full stack?

For a Fullstack Java developer, choosing between DevOps and full stack roles depends on career goals; full stack focuses on application development across front-end and back-end, while DevOps emphasizes deployment, automation, and infrastructure management. Both require different skill sets and certifications, and some roles may involve overlapping responsibilities in modern development environments.

What are some common challenges Fullstack Java developers face when working on cross-functional teams?

Fullstack Java developers often collaborate with front-end, back-end, and DevOps teams to deliver end-to-end solutions. A common challenge is ensuring smooth integration between different technological stacks and managing communication gaps among team members with diverse expertise. Additionally, balancing priorities between client-side performance and server-side scalability can require careful planning and effective teamwork. Staying updated on both front-end and back-end best practices also demands ongoing learning and adaptability.

What is a full stack engineer's salary?

The salary for a full stack Java engineer typically ranges from $70,000 to $130,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in frameworks and cloud technologies can earn higher compensation. Entry-level positions generally start at the lower end of this range.

What is the difference between Fullstack Java vs Java Developer?

AspectFullstack JavaJava Developer
Required SkillsJava, JavaScript, HTML, CSS, frameworks like Spring and AngularJava, Spring, Hibernate, SQL
Work EnvironmentBoth front-end and back-end development, often in agile teamsPrimarily back-end development, server-side focus
CertificationsJava certifications, full-stack development coursesJava certifications, backend-specific courses
Industry UsageWeb applications, enterprise solutions, startupsBackend systems, APIs, enterprise applications

Fullstack Java developers have a broader skill set, working on both client-side and server-side components, while Java Developers typically focus on server-side Java applications. The choice depends on project needs and career goals.

What are popular job titles related to Fullstack Java jobs in Toronto, ON? For Fullstack Java jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Fullstack Java jobs in Toronto, ON look for? The top searched job categories for Fullstack Java jobs in Toronto, ON are:
Fullstack Java jobs near you

AI Engineer

BDO Canada

Toronto, ON • On-site

CA$77K - CA$117K/yr

Full-time

PTO

Posted 6 days ago

Job description

Putting people first, every day

BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters apeople-first culturewith a high priority on your personal and professional growth.

Your Opportunity

As an experienced AI Engineer, you will design, build, and deploy productiongrade AI solutions that bridge experimental machine learning with scalable software engineering. In this replacement role, you will play a critical role in enabling enterpriseready AI capabilities with a strong focus on large language models (LLMs), retrievalaugmented generation (RAG), and agentic workflows, operating within established governance frameworks.
Responsibilities:
  • Design, build, and deploy robust, scalable, productiongrade AI applications using frameworks such as LangChain, LlamaIndex, AutoGPT, and related LLM orchestration tools.
  • Develop, refine, and optimize complex prompt strategies; manage model context windows; and finetune models where required to maximize performance, accuracy, and cost efficiency.
  • Integrate AI capabilities into existing enterprise environments through RESTful APIs, microservices, and cloudnative architectures.
  • Build, maintain, and optimize vector databases (e.g., Pinecone, Milvus, Weaviate) and design efficient data ingestion and embedding pipelines to support retrievalaugmented generation (RAG) solutions.
  • Monitor AI systems in production and proactively address issues related to hallucinations, latency, reliability, scalability, and tokencost optimization.
  • Collaborate closely with AI Architects, AI Studio Leads, ML Engineers, Data Scientists, FullStack Developers, Service Line Labs, and Citizen Developers on firmwide initiatives and internal platforms.
  • Support AI system documentation, lifecycle management, and control processes in alignment with ISO/IEC 42001 enterprise governance requirements.
  • Adhere to established AI risk management, data governance, and security policies, and assist with model inventories, traceability, and changemanagement activities.
  • Participate in model testing and validation activities in accordance with the NIST AI Risk Management Framework, including mapping and measuring model risks.
  • Support the implementation of riskmitigation controls and ongoing monitoring, and follow governance processes that promote transparency, accountability, and responsible AI use.

The expected range of compensation for this role is $77,000 to $117,000 annually.

How do we define success for your role?

  • You demonstrate BDO's core values through all aspect of your work: Integrity, Respect and Collaboration

  • You understand your client's industry, challenges, and opportunities; clients describe you as positive, professional, and delivering high quality work

  • You identify, recommend, and are focused on effective service delivery to your clients

  • You share in an inclusive and engaging work environment that develops, retains & attracts talent

  • You actively participate in the adoption of digital tools and strategies to drive an innovative workplace

  • You grow your expertise through learning and professional development.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with 3-5 years of professional experience in AI, machine learning, or applied software engineering.
  • Expertlevel proficiency in Python, with working familiarity in Java and/or TypeScript for enterprise application development.
  • Deep handson experience with leading AI and LLM frameworks, including OpenAI APIs, Anthropic, Hugging Face, and LangGraph, along with a strong understanding of LLMbased application design.
  • Proven experience designing and implementing retrievalaugmented generation (RAG) and agentic AI systems, supported by a solid grasp of scalable, productiongrade AI architectures.
  • Experience working with vector databases as well as SQL and NoSQL data stores, and handson exposure to cloud platforms such as Azure AI / AI Foundry, AWS Bedrock, or Google Cloud Platform (GCP).
  • Practical experience with DevOps and MLOps practices, including Docker, Kubernetes, and CI/CD pipelines for machine learning workloads.
  • Familiarity with machine learning lifecycle and experimenttracking tools such as MLflow or Weights & Biases.


Why BDO?
Our people-first approach to talent has earned us a spot among Canada's Top 100 Employers for 2026. This recognition is a milestone we're thrilled to add to our collection of awards for both experienced and student talent experiences.

Our firm is committed to providing an environment where you can be successful in the following ways:

  • We enable you to engage with how we change and evolve, being a key contributor to the success and growth of BDO in Canada.

  • We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.

  • We support your achievement of personal goals outside of the office and making an impact on your community.

Giving back adds up: Where company meets community. BDO is actively involved in our communities by supporting local charity initiatives. We support staff with local and national events where you will be given the opportunity to contribute to your community.


Total rewards that matter: We pay for performance with competitive total cash compensation that recognizes and rewards your contribution. We provide flexible benefits from day one, and a market leading personal time off policy. We are committed to supporting your overall wellness beyond working hours and provide reimbursement for wellness initiatives that fit your lifestyle.


Everyone counts: We believe every employee should have the opportunity to participate and succeed. Through leadership by our Diversity, Equity and Inclusion Leader, we are committed to a workplace culture of respect, inclusion, and diversity. We recognize and celebrate the valuable differences among each of us, including race, religious beliefs, physical or mental disabilities, age, place of origin, marital status, family status, gender or gender identity and sexual orientation. If you require accommodation to complete the application process, please contact us.

Flexibility: All BDO personnel are expected to spend some of their time working in the office, at the client site, and virtually unless accommodations or alternative work arrangements are in place.

Our model is a blended approach designed to support the flexible needs of our people, the firm and our clients. It's about creating work experiences that meet everyone's needs and providing flexibility to adjust when, where and how we work to meet the expectations of our role.

Code of Conduct: Our Code of Conduct sets clear standards for how we conduct business. It reflects our shared values and commitments and includes guiding principles to help us make ethical decisions and maintain trust with each other, our clients, and the public.

BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment process. While these tools assist our teams, our use of AI does not replace human decision making, and all employment-related outcomes are made by BDO personnel.

More information on BDO Canada's Privacy Policy can be found here: Privacy Policy | BDO Canada

Ready to make your mark at BDO? Click "Apply now" to send your up-to-date resume to one of our Talent Acquisition Specialists.

To explore other opportunities at BDO, check out ourcareers page.

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