• Provide technical and operational leadership to a team of engineers, fostering a strong, collaborative culture.
• Coach and mentor team members, supporting their development and performance.
• Allocate work effectively across the team, aligning skills with priorities and outcomes.
• Contribute to hiring and scaling the AI capability.

• Lead the design and architecture of complex GenAI systems, ensuring alignment with engineering standards.
• Guide the team in applying appropriate modelling techniques and modern AI patterns.
• Evaluate design trade-offs, drive decisions, and ensure solutions meet functional and non-functional requirements (including security).
• Lead design and code reviews to ensure quality and consistency.

• Oversee the build, test, deployment, and ongoing operation of production-grade GenAI systems.
• Support the development of solutions such as:

• Retrieval-Augmented Generation (RAG).
• Semantic search and vector-based retrieval.
• Agent-based and service-oriented architectures (e.g., MCP, A2A).

• Ensure systems are scalable, reliable, secure, and maintainable

• Take responsibility for end-to-end delivery of medium-scale initiatives.
• Manage scope, risks, timelines, and stakeholder alignment.
• Collaborate closely with Product and Design to deliver meaningful customer outcomes.
• Lead release planning, quality reviews, and post-release retrospectives.

• Promote best practices in software development, DevOps, and security.
• Improve processes, tooling, and standards across the team.
• Ensure adherence to CI/CD, testing, and governance practices.

• Bachelor’s degree in Computer Science, Engineering, or equivalent.
• 7+ years experience in software engineering, including senior-level experience.
• Experience leading a team (formal or informal leadership).
• Hands-on experience building and operating GenAI/LLM-powered systems in production.

• Generative AI and LLM-based applications
• RAG systems, semantic search, and vector databases
• Agent-based architectures and protocols (e.g., MCP, A2A or similar)
• Cloud-native development and microservices (Docker, Kubernetes, APIs such as FastAPI)
• CI/CD pipelines and DevOps practices

• Strong stakeholder management and communication skills.
• Ability to balance hands-on technical contributions with leadership responsibilities.
• Experience coaching and mentoring engineers.
• Proven ability to drive decisions, influence outcomes, and deliver results.

Additional Information
Office-based working environment, work from our Toronto office two or more days per week.
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At Seequent, we champion the uniqueness of each individual. Our commitment to inclusiveness, equity, and accessibility is fundamental to who we are. If you require accommodation during our recruitment process, please let our Talent Acquisition team know. We are here to ensure a fair opportunity for all.