Rust Backend Architect solving and validating production - grade backend systems for Gramian Consultancy’s AI training projects. Designing architectures, tests, and reliable concurrent services.
About the role
- Senior Software Engineer building Alfie’s full-stack conversational AI products. Developing agentic backend services and React interfaces for Pebl’s global employment platform.
Responsibilities
- Design, build, and ship full-stack features for Alfie, owning work from data model and API layer through the user experience.
- Build and operate backend microservices in TypeScript or Python, Postgres, and AWS on Kubernetes.
- Build frontend experiences in React/TypeScript, including conversational and streaming interfaces.
- Apply prompt design, tool/function calling, multi-step agent reasoning, and evaluation to LLM-based and agentic systems.
- Design recovery paths and human-in-the-loop handoffs for AI uncertainty and failures.
- Prototype new interaction patterns as models and agent capabilities evolve.
- Build observability and evaluation into AI systems and improve them using production evidence.
- Troubleshoot backend, frontend, and AI-specific production issues.
- Write clean, well-tested, maintainable code; mentor junior engineers; contribute to design and code reviews.
- Collaborate with product managers, designers, and engineers to deliver features end to end.
- Report to the Engineering Manager, with day-to-day work led by the Staff Software Engineer.
Requirements
- 7+ years of professional software engineering experience, full-stack, with real depth on both the backend and the frontend.
- Proficient in TypeScript or Python.
- Strong experience building database-backed services using Postgres or a similar relational database, including schema design, query writing, and performance considerations.
- Strong command of modern frontend development with React/TypeScript.
- 1+ years of hands-on experience building LLM-powered or agentic products.
- Experience shipping a conversational AI interface used by real end users in production.
- Solid understanding of LLM design patterns, prompt engineering, and observability/instrumentation for agentic systems.
- Experience building and deploying services in a containerized, Kubernetes-based environment or comparable orchestration.
- Comfort with AWS.
- Solid computer science fundamentals and system design skills.
- Track record of building products beyond standard CRUD applications and dashboards.
- Comfort working collaboratively in a fast-paced environment.
- Must be able to commit to in-office collaboration Monday through Wednesday at the downtown Toronto office and live within commuting distance.
Benefits
- Flexible Time Off – Take the time you need to recharge.
- Parental Leave – Support for growing families.
- Health and Dental Insurance – Where applicable, to cover you and your loved ones.
- Retirement Savings + Employee Incentive Plan – Plan for the future while sharing our success.
- Equity
- Hybrid work arrangement with in-office collaboration Monday through Wednesday
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