As of November 6, 2026, Jobsy lists 53 forward deployed engineer jobs in Toronto, ON. The most active employers are Urban Ridge Supplies, Tiger Analytics Inc. and hireVouch. Skills often requested: python, communication skills, typescript and aws.
No matching filters. Try another name.
53 jobs·Latest jobs · Canada··
Why we group jobs by company
Jobs from the same identified company share one card in each results page. As you load more, we merge that company’s additional jobs into its existing card, so large employers do not keep taking extra space. Use the arrows or numbered dots to browse, or View all to compare its loaded jobs and reach the company’s full list. Company pages show separate job cards.
5+ YOECandidates need 5+ years combining business operations or process design with hands-on technical work, plus real experience building agents with LLMs. They must map workflows end to end, be comfortable with code, APIs and data pipelines, and communicate clearly with non-technical stakeholders.
Golang, Ruby on Rails, JavaScript, Java, C#, Python
Cohere: Cohere is the leading security-first enterprise AI company.
Candidates need experience deploying enterprise software in private or hybrid cloud, running production Kubernetes clusters with Helm, and working with cloud platforms. They should enjoy working directly with customers in a fast-paced setting.
3+ YOERaydar needs three to six years of customer-facing software or product engineering experience, ideally with startups. Candidates need full-stack skills in TypeScript or Python, React and SQL, and experience shipping production LLM or agentic software.
3+ YOECandidates need about 3 to 6 years of full-stack engineering experience, with TypeScript or Python, React and SQL. Experience shipping production LLM or agent software to external users and working directly with customers is required.
Candidates need a Computer Science or Software Engineering background, graduating soon or recently graduated, with strong coding fundamentals and interest in backend development, preferably in Python. They must communicate clearly with customers and be based in or willing to work hybrid in Toronto.
6+ YOECandidates need 6+ years of software engineering experience with strong backend skills in Python or Django. They need experience integrating external systems and working directly with customers, plus clear communication and problem-solving skills.
NetSuite, SAP, Microsoft Business Central, Zip, Django, Python
General Magic needs candidates with strong programming skills and experience shipping software. They should have built AI workflows with LLMs and agents and be comfortable explaining technical work to non-technical customers.
6+ YOELumApps needs candidates with 6+ years of engineering or customer-facing deployment experience, a bachelor's degree in a technical field, and full-stack skills in Node.js, TypeScript, Java or Python with React. They must be in the Greater Toronto Area and able to travel.
5+ YOECandidates need 5+ years of SRE or DevOps experience, hands-on Kubernetes, Terraform and Helm skills, and scripting in two languages. A bachelor's degree in computer science or a related field is required.
Candidates need shipped production experience, strong integration skills with REST APIs, webhooks and OAuth, and solid Python or TypeScript coding. They also need infrastructure knowledge, clear client-ready communication and the composure to handle shifting scope.
Python, TypeScript, Linux, CRM systems, Slack, Ticketing systems
STAN AI: Launched in 2019 by two property management veterans with over 20 years of experience at North America's largest management company, STAN was built…
3+ YOECandidates need 3+ years in SaaS, ideally in client-facing technical roles, with real depth in AI or LLM products. They also need basic backend skills (APIs, SQL, Python) and strong communication with executives.
5+ YOEUrban Ridge Supplies needs candidates with 5+ years of software engineering experience, strong full-stack skills in React, TypeScript, Python and SQL, and customer-facing delivery experience. Cloud experience on AWS and experience with AI copilots or orchestration workflows are also required.
3+ YOECandidates need several years of software or technical delivery experience with a production system, a computer science or related degree, and customer-facing technical delivery experience. They must be fluent in Python, JavaScript/TypeScript, Java or Apex and hands-on with LLMs and prompt engineering.
Cursor, Claude, Salesforce Data 360, Snowflake, Databricks, BigQuery
4+ YOECandidates need 4+ years shipping software with strong full-stack skills in TypeScript and Python. They must be comfortable with LLMs and third-party integrations, enjoy ambiguity and client contact, and be based in or near Toronto.
Candidates need strong backend software skills in Python, Java or similar languages, and hands-on experience building LLM-based applications. They also need clear communication skills for non-technical audiences and a technical academic background. Healthcare data or regulated-environment experience is a plus.
ML, Troubleshoot, Back-end development, Python, Oracle Java, Communication skills
10+ YOECandidates need 10+ years building distributed data or ML platforms, strong customer-facing communication, and advanced Python and SQL. Experience with cloud data services, MLOps tools, LLMs and infrastructure as code is also required.
3+ YOECandidates need 3 to 5 years building software or AI, strong Python skills, and experience with AWS or Azure. A strong builder who is comfortable working with the business is needed, plus a bachelor's degree or equivalent experience.
3+ YOECandidates need 3+ years of software or technical delivery experience (6-10 for senior), a computer science or related degree, and prior customer-facing technical delivery work. Hands-on experience with LLMs, prompt engineering and at least one of Python, JavaScript/TypeScript, Java or Apex is also required.
Cursor, Claude, Snowflake, Databricks, Salesforce Data 360
10+ YOECandidates need 10+ years as a principal data engineer, ML/AI architect or solutions architect, deep experience with OpenAI and Azure OpenAI APIs, and strong executive-level communication. Willingness to travel to customer sites about once a quarter is required.
10+ YOECandidates need 10+ years of data or ML engineering experience, strong customer-facing communication, and hands-on skills with Spark, Databricks, Airflow, LLMs, vector stores, Python and SQL. Cloud, containerization and Infrastructure as Code experience and willingness to travel to customer sites are also expected.
5+ YOECandidates need a bachelor's degree in a related field and 5+ years in site reliability or DevOps engineering. They must have hands-on Kubernetes, Terraform, and Helm experience, plus proficiency in at least two scripting or programming languages.
Candidates need real experience shipping systems that users depended on and handling their failures. They also need strong integration skills, solid Python or TypeScript, working knowledge of Linux, containers and CI/CD, and clear communication with non-technical clients under pressure.
2+ YOEFGF Brands needs at least two years of engineering, technical or operational experience, ideally in mechanical, electrical, industrial or manufacturing engineering. Candidates need strong problem-solving skills, quick learning, clear communication with plant staff and leadership, and willingness to travel.
Candidates need hands-on Python production experience, experience building RAG and agentic applications, deep knowledge of the LLM stack, and skill in building evaluation frameworks and leading technical customer discussions.