Senior AI Engineer, Agentic AI

Location: Hybrid, Toronto, Ontario, Canada

Base compensation: CAD 100,000–145,000 annually in Ontario, Canada; annual bonus may also apply.

Company

hirify.global provides trusted content, software, data, and technology for professionals and institutions across legal, tax, accounting, compliance, government, and media.

What you will do

• Design, develop, and deploy production LLM agents with multi-step workflows, RAG, prompt design, tool and function calling, and structured-output validation.
• Build specialist agents that ingest enterprise data, extract actionable signals, and recommend next steps through human review.
• Develop guardrails, automated evaluations, drift detection, observability, and production monitoring for trustworthy agents.
• Integrate agents with AWS infrastructure, enterprise APIs, and approved MCP servers.
• Establish reusable agent patterns, maintain architecture documentation, and collaborate with platform, data integration, governance, and product stakeholders.
• Provide technical guidance through code and design reviews and mentor engineers.

Requirements

• At least 2 years of experience delivering practical applied AI or machine learning solutions that improve user efficiency and reliability.
• Hands-on experience building production LLM applications with RAG, prompt engineering, and tool or function calling.
• Practical experience building agent workflows with guardrails, evaluation, and reliability considerations.
• Strong Python skills and experience writing modular, well-tested, production-grade code.
• Experience with AWS services such as ECS, Bedrock, SageMaker, or Secrets Manager, including networking and security principles.
• Experience deploying services with Docker, CI/CD pipelines, and infrastructure as code.
• SQL and data integration experience, including cloud data warehouses and enterprise APIs.
• Working understanding of the machine learning lifecycle, including feature engineering, training, evaluation, and monitoring, sufficient to collaborate with data scientists and ML engineers.
• Experience leading or supporting engineers through code and design reviews, with clear technical communication and effective problem-solving.

Nice to have

• Experience with LangGraph, Strands, LangChain, CrewAI, or other agentic frameworks.
• Experience designing multi-agent systems with orchestrator and sub-agent patterns, planning, tool use, and memory.
• Experience integrating Salesforce, Gong, Conga, or other enterprise sales and go-to-market platforms, or familiarity with opportunity management, pipeline analytics, or MEDDPICC.
• Experience with MCP servers and gateways, vector stores, embeddings, and retrieval pipelines.
• Knowledge of responsible AI practices, including hallucination mitigation, privacy, governance, and audit logging.
• Experience with Python machine learning tools such as scikit-learn, PyTorch, Pandas, XGBoost, or LightGBM, and data validation frameworks such as Pandera, Great Expectations, or Pydantic.
• Effective use of AI coding assistants such as Claude Code, Cursor, or Copilot in a team setting.

Culture & Benefits

• Flexible hybrid work model for office-based roles.
• Work-from-anywhere arrangements are available for up to 8 weeks per year.
• Flexible vacation, two company-wide Mental Health Days, Headspace access, retirement savings, tuition reimbursement, incentive programs, and wellbeing resources.
• Continuous learning and career development through Grow My Way programming and skills-first development.
• Two paid volunteer days annually and opportunities for pro-bono consulting and ESG initiatives.
• Inclusive workplace focused on customer impact, learning, collaboration, and work-life balance.

Hiring process

• hirify.global may use AI to assess application information against the role requirements unless the candidate opts out; a human makes the final consideration decision.