AI Solutions Engineer
- Toronto, ON, Canada
The salary range for this position is $125,000 - $145,000. · Full-time
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Job details
- Pay
- The salary range for this position is $125,000 - $145,000.
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
What You Will Do
- Build AI assistants and agents end-to-end from a signed-off spec, retrieval, tool integrations, prompt logic, source citation, and workflow integration
- Design and maintain retrieval pipelines, chunking strategy, metadata schema, indexing, access controls, and query optimization
- Engineer prompts with discipline, write, test, evaluate, and iterate; document failure modes and edge cases
- Own code quality and handoff, version artifacts, write tests where appropriate, and maintain clean, reviewable documentation
- Partner with Data Engineering to make data retrieval-ready, define ingestion needs, document assumptions, and validate data quality impacts
- Deploy through standard MLOps pipelines, monitoring/alerting, rollback readiness, cost controls, and operational runbooks
- Collaborate with affiliate teams during builds, demo real increments, capture feedback, and incorporate changes without breaking scope
- Document known limitations, risks, and mitigations before UAT, set expectations and prevent surprises for business stakeholders
- Strong Python skills with experience shipping LLM applications end-to-end (build, test, deploy, and operate)
- Hands-on RAG experience, document processing, vector databases/search, and retrieval evaluation (precision/recall, grounding quality)
- Experience with agent frameworks (e.g., LangChain, LlamaIndex or equivalents), including tool use, orchestration, and multi-step flows
- Experience on enterprise AI platforms (e.g., Azure OpenAI, Google Vertex AI, Anthropic APIs), including security and cost/performance trade-offs
- Prompt engineering fundamentals, structured prompting, output constraints, adversarial/failure-mode testing, and reproducibility
- Comfort working with semi-structured/unstructured data (PDFs, financial docs, emails, notes) and translating it into retrieval-ready assets
- Delivery mindset and strong written communication, hold scope, write clear technical documentation, and finish to production-quality
For a closer look at how you can build your career with us, we invite you to explore cclgroup.com.
We are committed to providing an inclusive, accessible recruitment and selection process. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. Please contact talentacquisition@cclgroup.com if you require accommodation.
AI may be used to support certain stages of our screening & recruitment process. These tools support, but do not replace, human judgment and decision-making.
Job Id: z/gU2UW5CP8i9Pe0+u8GDSrAAQY2qKPQz1iZtofgHGy8cjA3lpHwfw0tiXX/xxE8fpZNq8sFXmttS0gPakN2qe+9UXDxXMI+Gg==
More about this job
Responsibilities
Build and operate production-ready AI assistants, agents, retrieval pipelines, and workflow automations, ensuring quality, reliability, safety, traceability, and maintainability. Collaborate with data, MLOps, and affiliate teams to deploy solutions responsibly, incorporate feedback, and document risks, limitations, and operational procedures.
Requirements
Requires strong Python skills and experience delivering LLM applications end-to-end, including hands-on RAG, document processing, vector search, retrieval evaluation, and agent frameworks. Candidates should also have experience with enterprise AI platforms, disciplined prompt engineering and failure testing, unstructured data, and production-quality delivery and documentation.
Skills
- Python
- LLM Application Development
- Retrieval-Augmented Generation
- Document Processing
- Vector Databases
- Retrieval Evaluation
- Agent Frameworks
- Tool Integration
- Prompt Engineering
- Enterprise AI Platforms
- Data Retrieval
- MLOps
- Testing and Evaluation
- Technical Documentation
- Workflow Automation
- Data Quality Validation
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
- Finance & Accounting
Keywords
- Python
- LLM Applications
- Retrieval-Augmented Generation
- RAG
- AI Assistants
- AI Agents
- Workflow Automation
- Retrieval Pipelines
- Chunking Strategy
- Metadata Schema
- Indexing
- Access Controls
- Vector Databases
- Retrieval Evaluation
- LangChain
- LlamaIndex
- Azure OpenAI
- Google Vertex AI
- Anthropic APIs
- Prompt Engineering
- Tool Orchestration
- Document Processing
- MLOps
- Data Engineering
- Monitoring and Alerting
- Rollback Readiness
- Cost Controls
- Financial Services
- UAT
- Data Quality