This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Backend Engineer based in Canada.

You will join a high-growth SaaS environment where backend engineering directly powers AI-driven products used by thousands of mission-driven organizations worldwide. The role focuses on building and scaling LLM-powered systems that support research, grant discovery, and automated content generation workflows. You will own features end to end, from early prototypes to production-grade services with strong reliability guarantees. The environment is fast-paced, collaborative, and highly ownership-driven, where engineering decisions quickly translate into real user impact. You will work closely with cross-functional teams to define product behavior, measurement, and system design. This is a hands-on role at the intersection of backend engineering, distributed systems, and applied AI.

Accountabilities

Build and ship production-grade backend systems and AI-powered features, including tool-using LLM agents, multi-step workflows, and RAG pipelines supporting research and content generation use cases. Design and maintain scalable APIs, data pipelines, and services with strong reliability, observability, rollback strategies, and performance/cost controls. Develop evaluation frameworks, monitoring systems, and guardrails to ensure AI outputs remain accurate, safe, and cost-efficient in production. Collaborate with Product, Design, and other stakeholders to define requirements, run experiments (A/B tests, canaries), and iterate based on data-driven insights. Improve engineering standards through clean code, testing practices, documentation, and effective code reviews.

Requirements

7+ years of experience building production backend systems in Python (e.g., FastAPI, Celery or similar), with strong ownership of systems from prototype to production. Proven experience building LLM-based production features such as tool/function calling, agent orchestration, and evaluation/guardrails for reliability and safety. Strong understanding of data systems, including SQL, schema design, and building pipelines for retrieval and evaluation workflows. Experience working in fast-paced startup environments with a strong bias for action, simplicity, and high-quality execution. Nice to have: experience with TypeScript, Node, Ruby on Rails, cloud platforms (AWS or GCP), Docker, CI/CD, and observability tooling. Additional advantage: familiarity with RAG systems, hybrid search, embeddings, ranking systems, and AI evaluation frameworks (e.g., Ragas, DeepEval, OpenAI Evals), as well as orchestration tools like LangChain, LangGraph, or LlamaIndex.

Benefits

Competitive compensation with equity opportunities. 100% employer-covered health, dental, and vision insurance (50% for dependents) Generous paid time off, including parental leave Retirement savings plan (401k) Home-office stipend and company-provided laptop Bi-annual company retreats and team offsites High-growth environment with continuous learning and new technical challenges

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.