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Advanced proficiency in Python, along with experience using TypeScript or JavaScript and SQL.
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Forward Deployed Engineer, Supply Chain
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…TypeScript, Python, or other high-level language, comfortable with SQL, APIs, and cloud tooling, and you write code others can build on. You value breadth and speed over deep…
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Software Engineer II (AI Integration)
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Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, etc.
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Knowledge of SQL and advanced data modeling for structured and unstructured data.
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AI Platform Engineering Lead
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Own the engineer onboarding experience so that a new developer can be productive in days rather than weeks.
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Technical Architect - AI
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Technical Acumen: Familiarity with programming, scripting, or statistical tools (e.g., Python, SQL, R) is beneficial but not required; a strong analytical mindset is a must.
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Specialist, AI Engineering
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Strong Programming Skills: Proficiency in Python and experience with relevant AI/ML frameworks. Proficiency in writing clean, maintainable code (i.e. Python, Java, SQL, Spark).
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Lead Full-Stack GenAI Engineer
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Strong SQL and production data-engineering capability, including data profiling, transformation, quality validation, schema evolution, lineage, and reliable batch or event-driven pipelines
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Forward Deployed Engineer
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Full-time
A strong generalist engineer. You can ship full-stack TypeScript or Python on the backend, React on the frontend, SQL fluently, comfortable in someone else’s codebase within a day. You do…

Qureos Inc

Forward Deployed AI Engineer

Toronto, ON, Canada

Pay: Compensation$180,000–$260,000
Job type: Full-time
Experience: 3–6 years of experience in full-stack engineering, customer-facing software engineering, solutions engineering, or forward-deployed engineering.
Posting language: English
Posted: Sep 24, 2026

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Original job description

Full-time | Hybrid | Toronto | $180K–$260K

About the Role

We’re looking for a AI Deployment Engineer with 3–6 years of experience to work closely with portfolio businesses, understand their operational challenges, and build production-grade AI and agentic solutions that create measurable impact. This is a highly hands-on engineering role. You’ll work directly with business operators and technical teams, taking projects from identifying the right opportunity through development, deployment, optimization, and handoff. You’ll have the opportunity to build systems that are actively used in real-world operations rather than working solely on prototypes or internal tooling.

What You’ll Do

Work directly with portfolio companies to understand their workflows, pain points, and business priorities.
Identify high-impact opportunities where AI and agentic workflows can improve efficiency or outcomes.
Build and deploy end-to-end solutions, including backend integrations, agent workflows, prompts, evaluations, and user-facing interfaces.
Monitor production systems and continuously improve their reliability, performance, and level of autonomy.
Partner closely with general managers and other non-technical stakeholders to translate business needs into practical technical solutions.
Take ownership of deployments from initial discovery through production rollout and stabilization.
Document successful approaches, technical patterns, and lessons learned so they can be reused across other businesses.
Travel regularly to portfolio company locations and work closely with teams on-site.

What We’re Looking For

3–6 years of experience in full-stack engineering, customer-facing software engineering, solutions engineering, or forward-deployed engineering.
Strong full-stack development skills, including TypeScript or Python, React, and SQL.
Experience building and deploying production LLM or agentic applications, rather than experimental demos alone.
Familiarity with evaluations, monitoring, autonomy controls, and measuring outcomes for AI-powered systems.
Experience working directly with customers, operators, or business stakeholders.
Ability to independently take a project from understanding the problem through implementation and production deployment.
Strong business judgment and the ability to understand operational workflows and translate them into technical solutions.
Comfortable communicating with both highly technical and non-technical stakeholders.
Location & Work ModelToronto
Hybrid role with a minimum of 3 days per week in-office; 4 days preferred.
Approximately 2–3 days per week of domestic travel to portfolio company locations.
Compensation$180,000–$260,000
Competitive equity package

Technology

TypeScript
Python
React
SQL
LLMs / Foundation Models
Agentic Workflows
Evals
Snowflake
Databricks
Apache Iceberg
Event-driven Systems

About the Company

They are a technology-focused software holding company that acquires, builds, and grows vertical-market software businesses for the long term. The company partners with founders who have built strong businesses by deeply understanding their customers and industries. Rather than pursuing short-term exits, the organization takes a long-term approach, investing in the continued growth, technology, and operations of the businesses it acquires. The company has raised $250M in Series B funding from a group of institutional investors, technology entrepreneurs, and long-term investment partners.

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More about this job

Responsibilities

You will work directly with portfolio companies to identify high-impact opportunities and build end-to-end AI and agentic solutions. This involves managing the full lifecycle of deployments from discovery and development to production rollout and ongoing performance optimization.

Requirements

Candidates must have 3–6 years of experience in full-stack or solutions engineering with strong proficiency in TypeScript, Python, React, and SQL. You should have a proven track record of deploying production-grade LLM or agentic applications and the ability to communicate effectively with non-technical stakeholders.

Skills

Typescript
Python
React
Sql
Llm
Agentic workflows
Full-stack development
Solutions engineering
Production deployment
System monitoring
Data evaluation
Business judgment
Stakeholder communication
Backend integration
Autonomy controls

Benefits

Competitive equity package

Visa sponsorship

Not detected in the job text

Keywords

Typescript
Python
React
Sql
Llm
Agentic Workflows
Full-stack Engineering
Solutions Engineering
Production Deployment
Snowflake
Databricks
Apache Iceberg
Event-driven Systems
Artificial Intelligence
Software Engineering
Business Operations
System Monitoring
Data Evaluation
Stakeholder Management
Technical Strategy

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