Tech jobs
Job listings
Python-разработчик (бэкенд) миграция staffing/HR-платформы
Backend Python developer migrating and refactoring a staffing/HR platform’s PostgreSQL database and async backend (aiohttp, Gino) while preserving business logic and ensuring zero-downtime migration.
Full Stack Desk Developer
Builds full-stack analytics tools in C#/Python and React (TypeScript) that support global trading decisions, iterating quickly on user feedback in a fast-paced energy-commodities environment.
Full-Stack Engineer (Middle)
Builds and maintains a rank-tracking SaaS product using Python backend (FastAPI, PostgreSQL, SQLAlchemy) and React/Next.js frontend, integrating external APIs and optimizing SEO workflows.
Lead Software Engineer
Lead full-stack engineer building secure, scalable banking systems with React, Java/Python, Kafka, and AWS; drives AI-assisted SDLC practices and LLM integrations while mentoring teams.
Senior DevOps Engineer
Build and maintain AWS-based MLOps and DevOps infrastructure, including Kubernetes, CI/CD pipelines, and observability stacks, to support scalable ML model serving and 24/7 platform reliability.
Senior QA Automation Engineer (SDET, Python)
Build and maintain Python-based test automation for a fintech payment platform, migrating PHP tests and improving CI/CD pipelines.
Data science engineer
Build and maintain ETL/ELT pipelines in Python and Spark/Scala that transform healthcare data into reliable datasets for SaaS products, while collaborating with AI engineers to enable AI-native features.
DevOps инженер (AI Hub Finance, направление ИИ агенты)
DevOps engineer builds and maintains CI/CD pipelines, Kubernetes deployments, and AI-agent infrastructure for a large bank’s AI Hub, using Jenkins, ArgoCD, Helm, and Python.
Fullstack-разработчик (Python/React)
Fullstack developer building a client portal for a marketing agency’s ML product using Python/FastAPI backend and React/Redux frontend.
AI Engineer
Build and scale Generative AI-powered systems, including LLM applications and research agents, using Databricks, Azure, and modern MLOps practices in a hybrid Toronto role.
Software Development Engineer (Fullstack)
Build and scale AI-powered backend services and full-stack apps using Python/Node.js, FastAPI/Flask/Express.js, and Kubernetes to power LandingAI’s agentic document-extraction platform.
MLOps-инженер в инфраструктуру Центра ИИ
Senior MLOps engineer to build and maintain ML infrastructure, inference engines, and hosting tools using Python, Kubernetes, and Prometheus/Grafana.
Full Stack Engineer
Build and maintain integrations for an Agentic AI platform, connecting AI agents to external data sources using Python, FastAPI, React, and PostgreSQL.
Senior AI and Machine Learning Engineer
Build and deploy AI/ML systems for financial services, including LLMs, RAG pipelines, and agentic workflows using Python, cloud platforms, and MLOps practices.
AI/ML Engineer
Build and deploy AI/ML models using Python, FastAPI, and Generative AI tools like LangChain and vector databases to create scalable solutions for clients in media, e-commerce, and other tech sectors.
Lead AI & Data Platform Engineer - Marketplace (Remote)
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
Senior Software Engineer (Product Engineering Team)
Build and scale Félix’s AI-powered chat platform on WhatsApp, designing microservices and conversational interfaces that let users send money via natural chat interactions.
Data Engineer
Build and maintain large-scale data pipelines and lakes on AWS Databricks, integrating diverse sources and ensuring data quality for risk-intelligence products.
Backend Engineer, Retail Media (Remote)
Build and maintain backend services for a retail media platform using Python/FastAPI, AWS, and observability tools to power ad placements and analytics for ecommerce retailers.
Backend Engineer, Experiments (Remote)
Builds and maintains backend services for A/B testing and experiment analytics in Python, using FastAPI, PostgreSQL, and AWS to power scalable, data-heavy experimentation platforms for ecommerce clients.