Design, build, and operate end-to-end ETL/ELT pipelines turning raw data into production-grade APIs, dashboards, and alerts.
Apply NLP and LLM-assisted processing over unstructured text for entity extraction, classification, and enrichment.
Partner with R&D, engineers, data scientists, and investigations to translate intelligence requirements into scalable client-facing products.
Inca Digital is a veteran-owned data and intelligence company specializing in digital-asset analytics for exchanges, financial institutions, regulators, and blockchain ecosystems. It operates as a fast-paced, nimble, global, and remote technology company with an asynchronous-first workflow and a culture of open debate and logic over authority.
Develop machine learning solutions for supply chain planning, from tech selection to production code.
Write Python code for microservice architectures and contribute to the continuous improvement of the AI platform.
Participate in agile processes including sprint planning, pair programming, and retrospectives with cross-functional teams.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. With over 2,000 employees worldwide, the company fosters a culture of innovation, collaboration, and continuous learning, and has won several Top Employer awards.
Build and ship customer-facing products across web, desktop, and mobile.
Design, develop, and maintain backend services, APIs, and cloud infrastructure.
Take ownership of high-leverage problems and collaborate across a small engineering team.
This company operates an ambitious AI research and product environment spanning web, desktop, mobile, backend, and AI systems. It is a small, collaborative engineering team that values autonomy, technical excellence, and low-ego collaboration.
Operate as a technical leader shaping architecture and quality, mentoring developers, and translating technical decisions into business value.
Design, build, and operate agentic AI systems including LLM services, retrieval pipelines, and multi-agent orchestration with end-to-end accountability.
Lead AI-augmented development practices, evaluating emerging technologies and establishing team-level guardrails for safe and effective AI tool use.
Caseware is a Canadian fintech company that has led the global audit and accounting software industry for over 30 years, serving over 500,000 users across 130 countries. With more than 36,000 professionals listing Caseware as a skill, they foster a culture of independence, innovation, trust, and accountability in a growing global SaaS environment.
Design and implement scalable data ingestion and integration pipelines for structured and unstructured data, ensuring AI-ready and governed data.
Build and scale retrieval infrastructure including vector storage, embedding pipelines, and hybrid search.
Lead pragmatic platform evolution by defining clear contracts between AI services and data systems, improving developer experience.
Caseware is a Canadian Fintech company that has led the global audit and accounting software industry for over 30 years, with over 500,000 users across 130 countries. They foster a culture of inclusion and innovation, with a commitment to 'Many Voices, One Team'.
Design, build, and own custom data pipelines that integrate source systems with the data warehouse.
Develop and operate Airflow DAGs for scheduled and event-driven workflows, ensuring reliable data processing.
Build dbt models and governed semantic layers that provide trusted data for analysts, applications, and AI tools.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It is a fast-growing company that uses technology to streamline recruitment and offers a high-trust remote environment.
Design and build distributed backend systems in Python, focusing on reliability and scale.
Contribute to frontend features using React and TypeScript to deliver complete product experiences.
Collaborate with data scientists and product managers to turn ambiguous product needs into production-ready solutions.
Northbeam builds a marketing intelligence platform for eCommerce brands, offering unified data views through attribution modeling and dashboards. The company is rapidly growing with strong product-market fit and a remote-friendly culture.
Build and ship a project end to end: understand the problem, build a working version, and improve it based on user feedback.
Work with business teams to understand their workflows and translate requirements into actionable solutions.
Use AI-augmented development tools as your default workflow and develop judgment about their effectiveness.
M3 is a global healthcare technology company providing innovative research and technological solutions to the healthcare industry. The M3 Group operates in the US, Asia, and Europe with over 5.8 million physician members and is publicly traded on the Tokyo Stock Exchange, ranked in Forbes' Global 2000 list.
Assist in developing and maintaining backend and frontend services.
Write clean, scalable code and participate in code reviews.
Collaborate with the engineering team to implement new features and resolve bugs.
Sezzle is a cutting-edge fintech company dedicated to financially empowering the next generation through its payment platform that provides interest-free installment plans. It drives sales for thousands of eCommerce merchants and fosters a dynamic, collaborative culture.
Labeling of image data for training object recognition
Programming data acquisition pipelines in Python or C++
Frontend development of a browser client in Three.js
Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group providing IT and telecommunications services. With over 5300 employees, the company continuously develops its sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals.
Design and develop scalable backend services (Python, FastAPI) powering the AI platform.
Build and optimize RAG pipelines, AI agent systems, and orchestration of LLM models in production.
Manage cloud infrastructure (AWS/Azure) including multi-tenant isolation and serverless functions.
A dynamic startup building a modern B2B AI platform powered by autonomous agents. The company focuses on eliminating tedious analytics for enterprise teams through flexible architecture and advanced workflows.
Act as the technical bridge between product and customer setups, translating business requirements into production-ready implementations.
Lead end-to-end rollouts of AI assistant configurations in production, including workflows, logic, data flows, prompts, and guardrails.
Implement integrations with third-party systems via APIs and webhooks, covering CRMs, calendars, ticketing, payments, and common auth patterns.
This company builds AI phone assistants for small and medium-sized businesses. The team is lean (~50 people) and growing rapidly with a strong engineering culture and a proprietary orchestration layer built in-house.
Design and build scalable systems for AI training data and evaluation.
Own projects end-to-end, from technical design to deployment.
Build human-in-the-loop platforms and annotator workflows.
An early-stage AI infrastructure company building training data and evaluation systems for frontier AI labs. A post-Series A organization with a small engineering team, offering significant individual ownership and influence.
Design, develop, and maintain ETL/ELT data pipelines from multiple sources.
Integrate and optimize data storage and processing for high performance and scalability.
Collaborate with data scientists and analysts to ensure clean, structured datasets for analysis.
iCodde is a technology recruitment and staffing company. They focus on building data infrastructure and offer referral bonuses to leverage personal networks.
Develop full stack features for an AI-powered web application using Python, React, Redux, PostgreSQL, and AWS.
Integrate AI models and APIs for tasks like document processing, data extraction, and recommendation engines.
Participate in architecture planning, code reviews, and take ownership of feature development end-to-end.
PolicyMe is Canada's leading digital insurance solution, offering straightforward and affordable financial protection for families. They are a remote-first, Toronto-based startup that has sold over $10 billion in insurance coverage since 2018, attracting top talent from across Canada.
Design and build full-stack features for data upload, knowledge bases, and agent extensibility across North's AI platform.
Own features end-to-end from technical design through shipping, testing, and iteration with a focus on minimal code in low-resource environments.
Collaborate with product and UX teams to validate requirements and raise engineering standards through code review and mentoring.
Cohere is a security-first enterprise AI company building foundation AI models and end-to-end products for enterprises. We are a global team of researchers, engineers, and designers headquartered in Toronto with offices worldwide.
Design, build, and operate end-to-end data infrastructure and solutions for APIs, containerized applications, alerting/reporting, and graph visualizations.
Model and deploy relational, document, and graph databases for investigative workflows and large-scale network analysis.
Build resilient ETL/ELT pipelines that ingest, normalize, and reconcile structured and semi-structured data from multiple sources.
Inca Digital is a veteran-owned data and intelligence company specializing in digital-asset analytics for exchanges, financial institutions, regulators, and blockchain ecosystems. They operate as a fast-paced, nimble, global remote company with a culture of open debate and logic.
Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and Spark.
Architect and optimize data models and storage solutions for analytics and operational use.
Implement observability, alerting, and data quality monitoring for critical pipelines.
Sonatype provides end-to-end software supply chain security solutions, protecting against malicious open source and managing SBOMs. With over 2,000 organizations and 15 million developers using its platform, it focuses on innovation and security in software development.
Design, build, and maintain scalable data pipelines using Python and AWS DynamoDB.
Develop and optimize DynamoDB data models and indexing strategies for high throughput.
Establish data validation, monitoring, and alerting mechanisms to ensure pipeline reliability.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. With a team that thrives in a culture of collaboration and creativity, the company offers competitive compensation and professional development opportunities.