AI Engineer - Forward Deployed

Caspian One; Toronto; Hybrid; CAD 82,656 - 151,536; Part time

Job summary

Caspian One partners with an AI tech firm to hire an experienced AI Engineer in Toronto. You will take AI solutions from concept to production, interfacing with client systems and navigating real-world data and complexity.

This delivery role emphasizes hands-on building, deploying, and scaling AI workflows, with a focus on tangible outcomes, rapid cycles (6–12 weeks), and collaboration with North American and international teams.

Qualifications

• Proven track record delivering AI or ML solutions into production environments.
• Experience with large language models (LLMs), agent-based systems, or intelligent workflow automation.
• Ability to work with real-world, messy data across multiple systems and environments.
• Experience integrating with APIs, enterprise platforms, and distributed data sources.
• Strong understanding of moving from proof of concept to scalable, production-ready systems.
• Comfort working directly with clients, including managing expectations in delivery environments.

Responsibilities

• Designing and deploying AI-driven workflows using LLMs and agent-based architectures.
• Collaborating with clients to connect and contextualise distributed data sources without heavy data ingestion.
• Building context layers reflecting business rules and operational processes.
• Developing production-ready solutions that integrate with enterprise environments.
• Guiding projects through full lifecycle from use case definition to deployment and adoption.
• Managing complex delivery scenarios including change management and stakeholder alignment.
• Supporting rapid delivery cycles, typically delivering working solutions within 6 to 12 weeks.
• Identifying additional use cases and opportunities within existing clients.

Skills

AI deployment

LLMs

Agent-based systems

API integration

Client-facing delivery

Production readiness

Job description

Caspian One has partnered with an exciting AI Tech Firm looking for an experienced AI Engineer to join their delivery ecosystem, with a strong preference for specialists based in Toronto or the surrounding region. This role sits at the intersection of engineering, client delivery, and real world problem solving. You will be responsible for taking AI solutions from concept through to production, working closely with customers to integrate systems, navigate complexity, and ensure successful adoption. This is not a research role. It is a hands on delivery position focused on building, deploying, and scaling AI solutions that solve tangible business problems.

What You Will Be Doing

• Designing and deploying AI driven workflows using large language models and agent based architectures
• Working directly with client systems to connect, map, and contextualise distributed data sources without heavy data ingestion
• Building context layers that reflect business rules, proprietary data, and operational processes
• Developing production ready solutions that integrate with existing enterprise environments
• Collaborating with clients through the full lifecycle, from initial use case definition through to deployment and adoption
• Handling complex delivery scenarios including change management, stakeholder alignment, and technical challenges
• Supporting rapid delivery cycles, typically delivering working solutions within 6 to 12 weeks
• Contributing to ongoing expansion by identifying additional use cases and opportunities within existing clients
• Ensuring solutions meet defined service levels where managed applications are required
• Working closely with distributed teams and partners across North America and internationally

What We Are Looking For

• Proven experience delivering AI or machine learning solutions into production environments
• Strong experience working with large language models (LLM's), agent based systems, or intelligent workflow automation
• Ability to work with real world, messy data across multiple systems and environments
• Experience integrating with APIs, enterprise platforms, and distributed data sources
• Strong understanding of how to move from proof of concept to scalable, production ready systems
• Comfort working directly with clients, including managing expectations and navigating complex delivery environments
• Experience working through change management and getting solutions successfully adopted
• Ability to operate independently while collaborating across a wider team
• A pragmatic, delivery focused mindset with a strong bias towards outcomes

Nice to Have

• Experience working in financial services or other highly regulated industries
• Exposure to value engineering or ROI driven solution design
• Experience working in consulting or client facing delivery roles
• Familiarity with building or deploying AI solutions within secure client environments

Working Model

• First week - Intensive training programme bringing you up to speed with the product and expectations around delivery.
• Toronto based specialists are strongly preferred, with a hybrid or onsite presence where possible
• No visa sponsorship available at this time
• This role is typically delivered on a contract basis, with long term extensions for high performing individuals
• Initial projects are usually 6 to 12 weeks, with strong opportunity for ongoing work so contracts are released 6-12months.

Why This Role

• You will be working on real AI deployments, not theoretical projects
• You will see direct impact from your work within weeks, not months or years
• You will be part of a company that prioritises measurable outcomes, not experimentation for its own sake
• You will gain exposure to a wide range of industries and complex business problems
• You will be working alongside a team that values speed, ownership, and delivery excellence