Senior AI Developer

Euna Solutions•Oakville, ON

8d•Hybrid

About The Position

We’re looking for a Senior AI Developer who can shape and ship production AI systems—and bring a team along with them. You’ll set the technical direction for the shared components and platform capabilities that underpin our AI-driven products. This isn’t a hands-off architecture role. You’ll own the hard problems: the orchestration patterns that hold up under real-world load, the developer experience that lets your teammates move fast with confidence, and the engineering vision that turns ambiguous requirements into concrete systems. If you’ve delivered real agentic systems to production, you know the gap between a working prototype and something a team can operate reliably. You’ve closed that gap before. You’re ready to do it again—and help others do it too.

Requirements

7+ years of hands-on software development, with deep proficiency in at least one modern backend or full-stack language and breadth across the full SDLC
Strong AWS experience—fluent with Lambda, ECS, S3, RDS, API Gateway, and CloudWatch; able to design production-grade cloud-native architectures that are observable and operationally sound
Deep grasp of SaaS architecture principles—you design systems others build on top of, and you understand the tradeoffs between speed, scalability, and maintainability at each layer
Proven track record building developer platforms and delivery systems—CI/CD pipelines, deployment automation, testing frameworks, and the processes that let teams ship AI features rapidly and safely
Expert-level understanding of agentic system design: orchestration, tool use, memory, retrieval, evaluation, and agent-to-agent communication—with the judgment to make the right architectural calls under real constraints
Hands-on experience with production agentic tooling—orchestration frameworks (LangChain, LangGraph, CrewAI), LLM APIs (OpenAI, Anthropic, Bedrock), vector databases (Pinecone, Weaviate, pgvector), and evaluation/observability platforms (LangSmith, PromptLayer)
Demonstrated experience delivering production, client-facing agentic solutions end-to-end—you’ve shipped agents real users depend on, navigated the hard operational problems, and iterated from prototype to stable production
Strong understanding of database design and data persistence fundamentals (relational or document stores)
Clear communicator and technical leader—you can articulate a vision, align a team behind it, and enable others to execute with confidence and autonomy
Opinionated about engineering quality, but pragmatic about tradeoffs
Energized by hard problems at the intersection of AI and production systems
Collaborative by default—you build teams up, not around them

Responsibilities

Own the architecture and evolution of the shared components, libraries, and platform capabilities the whole AI team builds on. You set the bar for reliability, testability, and developer experience—not as a reviewer, but as the person who ships it.
Design and build the CI/CD patterns, deployment pipelines, observability tooling, and developer workflows that make shipping agents to production predictable and repeatable. Fast teams need good rails.
Lead the team on AI tooling adoption—coding assistants, agentic development workflows, evaluation frameworks. Set the patterns that give teammates real leverage, not just access.
Carry work from requirements shaping and solution design through deployment, monitoring, and iteration. You’re comfortable owning the full SDLC, not just the interesting parts.
Articulate a clear engineering direction to your team and to stakeholders. Translate ambiguous problems into concrete plans. Build shared understanding across engineering and product so everyone’s rowing the same way.
Actively grow the engineers around you. Run technical reviews, establish best practices, and create an environment where the team can move quickly—without constantly second-guessing their decisions.