Build an AI orchestrator including intent and slot extraction, policy engine, planner, composer LLM, output guardrails and PII redaction. Implement RAG for motor policy Q&A, authenticated claim-status lookup, prompt engineering, and API/tool integrations. Project runs approximately June–July 2026 (~2 months) on a 3-month contract option.
Project Responsibilities
• Phase 1 build of the AI orchestrator — intent & slot extraction, policy engine, planner, composer LLM, output guardrails, PII redaction.
• Basic RAG for motor policy Q&A.
• Authenticated claim-status lookup.
• Prompt engineering. Active June–July 2026 (~2 months; duration rounded up to nearest 3-month option).
Requirements
An AI engineer who has shipped LLM-based assistants with RAG and tool-calling into production, strong on prompt engineering and grounding/guardrails
Must-haves
• LLM / GenAI application development
• Retrieval-augmented generation (RAG)
• Prompt engineering
• API / tool integration
• Python (assumed — confirm)
Nice-to-have
• OCI Generative AI
• Arabic NLP
• Insurance / regulated domain
• Guardrails & PII handling
Benefits
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Sell AI products to complex, high-value accounts, architecting deals that align product value with customer use cases and ensuring customer success.
Top Skills:
Ai Products
Food • Logistics • Retail
Provide engineering leadership and technical assurance across project lifecycle for water and recycling works. Manage NEC3 contractual obligations, ensure compliance with governance, H&S and CDM regulations, lead delivery assurance, manage risks and technical issues, undertake site assurance during construction and commissioning, and collaborate with contractors, designers and stakeholders to deliver sustainable, value-driven solutions.
Top Skills:
Nec3 Contracts
Artificial Intelligence • Computer Vision • Machine Learning • Robotics • Defense • Manufacturing
Lead and execute day-to-day operations across MEA: design scalable workflows, manage regulatory/compliance, liaise with vendors and partners, and drive fast, solutions-focused operational responses while supporting people and administrative activities.
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
