Senior Java Engineer

Job Title:
Senior Java Engineer Agentic AI
Location:
Toronto, ON (Hybrid 3 days/week onsite)
Duration:
6-month contract (extension possible up to 1 year) or FTE
About The RoleWe are looking for highly experienced, hands-on Senior Java Engineers (Architects /Technical Leads) with a strong hands‑on Software Engineering background to join an innovation‑focused Agentic AI initiative. This is not a traditional feature development role. We seek engineers who are independent thinkers capable of taking an idea or problem statement, evaluating multiple technology options, designing the solution, building it, and delivering an end‑to‑end outcome with minimal direction.
You will work in an environment where the destination is known, but the path is not. There is no predefined architecture, framework, or implementation approach. Your ability to evaluate technologies, make sound technical decisions, and deliver quality solutions will be critical.
What You'll DoTechnology Evaluation
Evaluate emerging technologies, frameworks, AI tools, and development approaches.
Build proof‑of‑concepts and prototypes.
Recommend Go/No‑Go decisions based on technical feasibility, scalability, and compliance.
Product Evaluation
Partner with product teams to develop early‑stage products and services.
Design, develop, test, and integrate beta solutions.
Support pilot releases, collect feedback and usage data, and help determine product readiness for production.
Key Responsibilities
Design, architect, develop, test, and implement Java‑based backend solutions.
Own features from concept through implementation without requiring detailed technical direction.
Evaluate and recommend the best technologies, frameworks, and architectural approaches for each solution.
Build scalable, secure, and high‑quality applications using modern engineering practices.
Work closely with engineering and product teams to transform ideas into working solutions.
Leverage AI‑powered development tools to improve engineering productivity and software quality.
Contribute to technology evaluations and innovation initiatives while ensuring compliance and engineering best practices.
Required Skills
8+ years of hands‑on Java backend development experience.
Strong expertise in Java, Spring Boot, and Microservices.
Proven experience in software design, architecture, and end‑to‑end implementation.
Hands‑on experience with GitHub Copilot and/or Claude as part of the software development lifecycle.
Good understanding of AI/ML concepts and AI‑assisted software development.
Experience working with Agentic AI, AI agents, workflows, skills, or AI‑powered coding tools.
Strong system design and problem‑solving skills.
Excellent communication and collaboration skills.
Ability to work independently in ambiguous environments with minimal supervision.
Nice to Have
Hands‑on experience developing AI/ML solutions.
Experience with AWS.
Experience with Databricks.
Experience building proof‑of‑concepts, prototypes, or innovation‑focused solutions.
What We're Looking For
Is a hands‑on engineer first, with architecture and technical leadership capabilities.
Thinks independently and takes ownership from problem statement to solution delivery.
Can evaluate multiple technologies and determine the best implementation approach.
Is comfortable working without predefined designs or frameworks.
Uses AI tools effectively to improve development speed and quality.
Communicates effectively, collaborates well, and influences through technical expertise rather than authority.
This Role Is NOT For Someone Who
Requires detailed user stories and implementation guidance for every task.
Primarily produces architecture documents without hands‑on development.
Waits for direction instead of driving technical solutions.
Focuses only on coding individual components without understanding the overall solution.
This Role Is Ideal For Someone Who
Enjoys solving complex engineering problems.
Can take a feature or product idea and independently determine the architecture, technology stack, implementation strategy, and delivery approach.
Thrives in R&D, innovation, and experimentation environments.
Wants to work on cutting‑edge Agentic AI initiatives while remaining deeply hands‑on with Java development and software architecture.
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