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.
------------------------
At Talencore, we stand against racism and discriminatory practices. We stand against violence.
We proudly support and partner with organizations that lift people up so everyone can succeed and thrive, and honour our candidates' experiences, perspectives and unique identity.
We are committed to continuing to make diversity, equity, and inclusion part of everything we do – from how we work with our talented candidates to how we support our clients in building their diverse workforce.
Similar Jobs
Artificial Intelligence • Hardware • Healthtech • Software
The Senior Data Scientist will build models and analyses, design experiments, integrate datasets, and leverage AI for improved workflows and insights in data science.
Top Skills:
DatabricksMlflowPandasPythonPyTorch
Artificial Intelligence • Productivity • Software • Automation
As a Staff Engineer for Revenue, you'll shape technical vision and architecture for billing and pricing systems, ensuring correctness while enhancing cross-team collaboration.
Top Skills:
APIsBilling SystemsPerformance OptimizationSubscription Management
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Senior Software Engineer will design, develop, and operate cloud-based services while maintaining production systems. Responsibilities include coding, CI/CD, and collaborating with cross-functional teams to improve engineering practices and developer productivity.
Top Skills:
.NetAsp.Net CoreAWSAzureC#DockerGCPJavaScriptReactTypescript
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
