Toronto, On Full stack java / api developer Jobs – 108 Openings This Week

AI, Architect
Synopsys —Mississauga, ON
- $186,000–$279,000 a year
- Azure
- Doctoral degree
- Computer Science
9d
Staff Software Engineer, AI Platform
eBay Inc. —Toronto, ON
- $142,400–$190,100 a year
- Full-time
- Hybrid work
- Azure
- System design
- Java
- Paid time off
AI Architect
Synopsys —Mississauga, ON
- $186,000–$279,000 a year
- Azure
- Doctoral degree
- Computer Science
Senior Quality Assurance Manager – QE Automation
Royal Bank of Canada —Toronto, ON
- Full-time
- Java
- Team management
- Mentoring
Senior Big Data Developer - Vice President
Citi —Mississauga, ON
- $120,800 a year
- Full-time
- Hybrid work
- Oracle
- Management
- Sales
SAP eCommerce Senior Developer
Tata Consultancy Services —Toronto, ON
- $100,000–$120,000 a year
- Java
- APIs
- Communication skills
Lead Agentic AI Engineer – VP (Mississauga)
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Azure
- Oracle
- Master's degree
Sr. Software Engineer, Backend
Pinterest —Toronto, ON
- Hybrid work
- Computer science
- Computer Science
- Java
Senior AWS Lambda (Java) Developer
Play Hockey —Canada
- From $80,000 a year
- Full-time
- Remote
- Computer Science
- Software troubleshooting
- Java
- Disability insurance
- Dental care
Quick apply
Software Engineer I (Application Support - Java Fullstack)
TD Bank —Toronto, ON
- $69,700–$98,400 a year
- Full-time
- Azure
- Oracle
- Maintenance
- Paid time off
9h
Software Developer – Full Stack
Softline Technology —Toronto, ON
- Contract
- Maintenance
- Java
- SQL
1d
Software Developer – Full Stack
Softline Technology —Toronto, ON
- Contract
- Maintenance
- Java
- SQL
1d
Automation Developer and QA Automation Analyst
Tata Consultancy Services —Toronto, ON
- $90,000–$110,000 a year
- DevOps
- Java
- SQL
12h
Principal Associate Software Engineer - International Card Tech - Full-Stack
Capital One —Toronto, ON
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Java
1d
Senior Manager, Back-End Development
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- AWS
- Team management
10h

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AI, Architect

Synopsys -
Mississauga, ON

Apply Now

Job details

$186,000–$279,000 a year
9 days ago

Qualifications

Software engineering
Azure
Go
Law
Doctoral degree
Computer Science
Container orchestration
MCP
Engineering
Git
Google Cloud Platform
Java
Master's degree
Databases
AWS
C++
Docker
Bachelor's
Machine learning
JavaScript
Back-end development
Mentoring
Scrum
APIs
Electrical Engineering
AI
Software development or architecture experience
Leadership
TypeScript
Communication skills
Python
Software architecture

Full job description

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and intelligent software systems. Join us to transform the future through continuous technological innovation.

As part of our Generative AI / Agentic AI initiatives, we are building next-generation intelligent applications powered by LLMs, workflows, tools, memory, and autonomous decisioning. Our team is focused on delivering scalable, production-grade AI full-stack solutions that create measurable business impact.

You Are:

You are a hands-on senior engineering leader with a passion for building production-grade agentic AI systems and AI full-stack applications. You thrive in fast-paced, collaborative environments and enjoy solving complex problems across orchestration, memory, reasoning, backend systems, and user experience. You bring strong technical depth in modern AI application development, combined with the leadership skills to guide teams, mentor engineers, and drive delivery excellence.

You are excited by the challenge of developing workflow-driven agentic systems using frameworks such as ADK, NAT, and other agent orchestration frameworks, and you understand how to combine LLMs, tools, memory, retrieval, and guardrails into reliable applications. You balance innovation with engineering rigor and are committed to building secure, scalable, and responsible AI solutions.

What You’ll Be Doing:

Design, build, and deploy agentic AI platforms, applications and AI full-stack solutions using frameworks such as ADK, NAT, and similar agent/workflow platforms.
Develop intelligent workflows for planning, reasoning, task decomposition, tool execution, reflection, and multi-step orchestration.
Implement and optimize memory architectures, including Semantic memory, Procedural memory, Episodic memory, Working/session memory etc.
Build integrations with enterprise tools, APIs, knowledge bases, databases, search systems, and external services using tool calling, function calling, and MCP/equivalent connector patterns where applicable.
Develop backend services, orchestration layers, APIs, and supporting full-stack components for AI applications, including human-in-the-loop experiences and operational dashboards.
Implement RAG pipelines, vector search, knowledge retrieval, prompt orchestration, and contextual grounding for agents.
Design robust agent state management, persistence, retry, fallback, and recovery mechanisms for workflow-driven systems.
Establish evaluation frameworks for agent quality, memory relevance, tool-use success, trajectory quality, hallucination reduction, latency, cost, and safety.
Build observability and monitoring for agentic systems, including tracing, logging, prompt/version tracking, workflow telemetry, and incident analysis.
Apply guardrails, policy controls, validation layers, and secure design practices to ensure safe and responsible AI behavior.
Mentor engineers, drive design reviews, establish best practices, and contribute to engineering standards for agentic application development.
Collaborate with product managers, designers, researchers, platform teams, and business stakeholders to translate requirements into scalable AI solutions.

The Impact You Will Have:

Accelerate Synopsys’ adoption of agentic AI through scalable, workflow-driven applications.
Enable delivery of robust AI systems that combine LLMs, tools, memory, and orchestration to solve high-value business problems.
Improve engineering productivity and business efficiency through reusable agentic patterns, platform components, and best practices.
Raise the technical maturity of the team through mentorship, code quality, architecture guidance, and knowledge sharing.
Help establish Synopsys as a leader in responsible, enterprise-grade AI application development.

What You’ll Need:

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, AI/ML, or related field. PhD is a plus.
Minimum 10 years of software engineering experience, including strong hands-on experience in building and shipping production systems.
Proven experience delivering AI/ML, GenAI, or agentic AI applications in production environments.
Strong proficiency in Python and at least one of TypeScript/JavaScript, Java, C++, or Go.
Experience with ADK, NAT, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar agentic development frameworks.
Strong understanding of:
- OpenAI API Specification
- LLM application design
- Workflow orchestration
- Prompt engineering
- Tool/function calling
- RAG architectures
- Memory systems for agents
- Multi-agent collaboration patterns
Experience with vector databases, search systems, embeddings, and knowledge retrieval pipelines.
Experience building AI full-stack applications, including backend APIs/microservices and frontend or user-facing AI experiences.
Familiarity with cloud platforms such as AWS, GCP, or Azure, and container/orchestration technologies such as Docker and Kubernetes.
Experience with CI/CD, Git-based development, testing, and Agile/Scrum practices.
Strong understanding of observability, evaluation, guardrails, security, privacy, and responsible AI practices.
Experience in semiconductor, EDA, developer productivity, or enterprise software domains is a plus.

Who You Are:

A strong systems thinker and pragmatic problem solver.
A hands-on technical leader who can move between architecture and implementation.
An effective communicator who can explain complex AI concepts to diverse audiences.
A collaborative team player who values inclusion, curiosity, and continuous learning.
A mentor who raises the bar for engineering quality and technical excellence.
Ethical, detail-oriented, and committed to responsible AI deployment.

Apply Now

Refine Your Search

full stack java / api developer jobs in toronto, on

AI, Architect

Staff Software Engineer, AI Platform

AI Architect

Senior Quality Assurance Manager – QE Automation

Senior Big Data Developer - Vice President

SAP eCommerce Senior Developer

Lead Agentic AI Engineer – VP (Mississauga)

Sr. Software Engineer, Backend

Senior AWS Lambda (Java) Developer

Software Engineer I (Application Support - Java Fullstack)

Software Developer – Full Stack

Software Developer – Full Stack

Automation Developer and QA Automation Analyst

Principal Associate Software Engineer - International Card Tech - Full-Stack

Senior Manager, Back-End Development

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