Senior AI & Agent Systems Engineer Toronto, On

(TORONTO) -Senior AI & Agent Systems Engineer

AboutDokainish& Company

Since2011Dokainish& Company has been providing world class professional consultancy services.

We specialize in working diligently and collaboratively with our clients to achieve long-lasting and impactful results acrossnumerousbusiness areas of expertise include but are not limited to Project Management Quantitative Risk Analysis Organizational Change Management Project Controls Enterprise Reporting Estimating Asset Management and System Implementation for Capital draw upon decades of project experience to deliver customized solutions to our clients most complex challenges.

We are a fast-growing organization currentlyseekinga SeniorAI & Agent Systems Engineer to design build andoperateproduction-grade AI systems embedded within enterprise software platforms.

IMPORTANT: Please provide a link to one or more of the following: GitHub profile technical portfolio architecture documentation or public project write-up on your resume.

Role Overview

This role owns the architecture implementation reliability and governance of AI-driven services including intelligent agents and orchestration layers. You will work closely with the Engineering Manager and senior developers to integrate AI capabilities into real systems with real users cost constraints and failure modes.

This is not a research or prompt-only role. Strong software engineering fundamentals are mandatory.

Thisis a full-time non-remote position based in Toronto Ontario Canada.

Key Responsibilities:

AI Systems & Agent Architecture

• Design and implement agent-based systems thatoperatereliably in production

• Build orchestration logic for multi-step and multi-agent workflows

• Define agent boundaries responsibilities and failure handling strategies

• Make architectural trade-offs balancing accuracy latency cost and reliability

Backend & Platform Integration

• Build andmaintainAI-backed backend services using Java and/or TypeScript

• Integrate LLMs into existing APIs workflows and data pipelines

• Ensure AI systems respect authentication authorization and access controls

• Work within existing system constraints rather than rebuilding everything

Guardrails Evaluation & Operations

• Implement guardrails to control AI behavior and prevent unsafe or misleading outputs

• Design evaluation approaches for AI outputs and agent behavior

• Implement logging monitoring and alerting for AI systems

• Track and clearly communicate AI limitations failure modes and operational risks

• Manage rate limiting cost controls and usage visibility

AI Governance & Enablement

• Ensure AI usage aligns with security privacy and compliance expectations

• Review and harden AI-assisted code before production release

• Guide other engineers on safe and effective AI integration

• Push back when AI is proposed where it introduces more risk thanvalue

Collaboration

• Work closely with the Engineering Manager on system design and delivery planning

• Coordinate with backend and frontend engineers to integrate AI capabilities cleanly

• Contribute to technical discussions design reviews and production readiness efforts

Required Skills & Experience

• 7 years of professional software engineering experience

• Strongproficiencyin Java (non-negotiable)

• Strongproficiencyin at least oneadditionalbackend language (TypeScript or Python)

• Experience building and operating production backend systems

• Hands-on experience integrating LLMs into real applications

• Experience building or operating agent-based or workflow-driven AI systems

• Deep understanding of:

• LLM behavior and limitations

• hallucination risks and mitigation

• prompt versioning and validation

• retrieval-augmented generation (RAG)

• Strong systemdesign data modeling and API design skills

• Comfortoperatingindependently with minimal supervision

• Ability to explain complex technical decisions to non-technical stakeholders

Working Arrangements

• Must be based in Toronto Ontario or willing torelocate.

• This is a full-time non-remote position based in Toronto Ontario Canada.

• Legally eligible to work in Canada.

We are highly skilled when moving ideas intoactionsandempowereach other to deliver outstanding results. If you believe your skillset drive qualifications and experienceisa match we welcome your application andcantwait to hear from you.

We thank all applicants for their interest in joiningDokainish& Company pleasenote only those candidates considered foran initialinterview will be contacted.

Dokainish& Company is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to age gender racecolour religion sexual orientation gender identity national origin disability age and veteran status or any other protected status required by applicable law.

In accordance withthe Ontario Human Rights Code Accessibility for Ontarians with Disabilities Act 2005 andDokainish& Company AODA Policy accommodation will be provided in all parts of the hiring process. Applicants need to make their needs known in advance.