Opens LinkedIn
- Employment type
- Contract
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Office presence
- 4 days per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Lead the technical design, development, and delivery of complex application solutions, including production-ready generative AI systems and prompt engineering. Guide development teams, collaborate with stakeholders and data scientists, and establish technical practices and documentation.
Job details
Position: Full stack Developer Location: Toronto, ON (4 days onsite) Contract: Long Term Job Description As a Staff Engineer supporting the ADT - CODI program within Operations Technology, you will lead the technical design, development, and implementation of complex, multi-platform application software solutions, applying advanced expertise and knowledge to deliver innovative and strategic business outcomes. Leads software development projects of significant complexity, applying advanced expertise and knowledge to deliver impactful results. What Will You Do? • Designs, develops, and oversees the implementation of advanced technical solutions, ensuring alignment with business objectives and adherence to best practices, while managing the end-to-end technical delivery of projects. • Build Gen AI system frameworks, Prompt Engineering, including designing and refining prompts to optimize LLM outputs, implementing Gen AI systems into production. • Leads development teams in the delivery of capabilities, providing technical direction and guidance to junior developers and team members and ensuring the successful execution of complex assignments and projects • Collaborates with business stakeholders and product owners to translate strategic objectives into actionable technical solutions, leveraging advanced knowledge to address unique and high impact challenges. • You will be responsible for working closely with AI data scientists to support data ingestion and feature engineering, establishing industry best practices, maintaining and managing technical documentations. • Executes on software development tasks or projects, requiring advanced problem solving, decision making and strategic thinking with some ambiguity. • Drives decisions on complex issues to develop clear, actionable recommendations for management, ensuring alignment on processes, tools and services with impact across other areas. • Leverages advanced and creative skills to resolve complex software development related problems, fostering cross functional collaboration to identify and implement innovative solutions. • Leads and facilitates cross functional collaboration efforts, fostering strong internal relationships across the organization and external partnerships to achieve impactful business outcomes. What Do You Need to Succeed? Must Have: • 7+ years of backend development experience in Java or Python • Strong backend development experience in Java or Python, including REST API and microservices • Strong experience with React and modern frontend development, including Micro-frontend (MFE) architectures and reusable UI components • Hands-on experience or strong understanding of Agentic AI concepts, LLM integrations • Understanding of prompt engineering and Gen-AI Development tools (GitHub Copilot, Windsurf, Claude Code) • Experience with Cloud platforms and technologies (OpenShift, Kubernetes, S3 Object Storage) • Experience working with relational databases particularly PostgreSQL, including schema design, query optimization and performance tuning.
What you’ll do
Lead the technical design, development, and delivery of complex application solutions, including production-ready generative AI systems and prompt engineering. Guide development teams, collaborate with stakeholders and data scientists, and establish technical practices and documentation.
Requirements
Requires 7+ years of backend development experience with Java or Python, along with REST APIs, microservices, React, and micro-frontend architectures. Candidates should also have experience or strong understanding of agentic AI and LLM integrations, generative AI tools, cloud technologies, and PostgreSQL.
Listed skills
- Kubernetes · Preferred
- REST APIs · Preferred
- PostgreSQL · Preferred
- React · Preferred
- Java · Preferred
- prompt engineering · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Java
- Python
- Backend Development
- REST APIs
- Microservices
- React
- Micro-Frontend Architectures
- Reusable UI Components
- Agentic AI
- LLM Integration
- Prompt Engineering
- Generative AI
- OpenShift
- Kubernetes
- S3 Object Storage
- PostgreSQL
Job areas
- Software
- Technology
- Engineering
- Management & Leadership
- Data & Analytics
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