The Senior Python Engineer will own production systems, develop backend services, optimize LLM pipelines, and enhance system reliability and performance.
This is a remote position.
Our client, an AI-focused startup based in Toronto, Canada, is building AI-powered financial report generation software for enterprise clients. The platform leverages Python and large language models (LLMs) to generate complex, high-quality reports at scale.
They are currently seeking a Senior Python / AI Engineer to take ownership of production reliability and system performance across their core platform. This is not a feature-delivery role - it is a systems ownership role for engineers who understand what it takes to build, operate, and maintain production-grade AI systems.
Location: India (Remote, must be able to work in IST/EST hours)
Employment Type: Full-Time
Experience: 4-6+ years
Tech Stack: Python, FastAPI, LLM
What You'll Do
- Own end-to-end production systems: design, build, deploy, monitor, and continuously improve.
- Build and maintain Python-based backend services (FastAPI preferred) powering AI workflows.
- Develop and optimize LLM pipelines (RAG, prompt workflows, data processing) in production environments.
- Lead incident response, debugging, and root cause analysis for production issues.
- Improve system reliability, testing practices, and release quality.
- Work closely with Product to translate requirements into scalable technical solutions.
- Implement and maintain observability, logging, and monitoring systems.
- Contribute to architecture decisions with a focus on performance and scalability.
Requirements
What You Bring
- Python-first engineer (FastAPI or similar frameworks preferred).
- Proven experience building AND maintaining systems in production - not just developing features.
- Hands-on experience with LLMs in production environments (not just API integrations or prototypes).
- Strong experience with production debugging, incident response, and system reliability.
- Background working at a product company (startup or product-driven environment preferred).
- Solid understanding of backend architecture, APIs, and data pipelines.
- Experience with cloud infrastructure (GCP preferred), Docker, and CI/CD.
- Strong ownership mindset - takes responsibility for systems end-to-end.
- Experience with financial data, reporting systems, or data-heavy applications.
- Familiarity with RAG pipelines, LangChain, or similar frameworks.
- Experience scaling systems handling large datasets or high-volume workloads.
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