About the Role
Wissen Technology is hiring an AI Engineer with strong hands-on experience in RAG systems, LLM APIs, and AI agents. This role focuses on building production-ready AI applications, including retrieval systems and intelligent automation workflows. The position is full-time and hybrid, requiring 3 days/week onsite in Montreal, QC. Candidates should have 5-10+ years of experience, with a focus on applied AI/ML engineering.
Responsibilities
- Develop and promote the company’s culture of engineering excellence.
- Define, develop and deliver solutions at a top tier investment bank or another esteemed client.
- Perform other duties as needed.
Required Skills
- RAG / Retrieval Systems: Hands-on experience building RAG pipelines. Familiarity with NotebookLM, RAG tooling, and Python libraries (NotebookLM or similar).
- LLM APIs & Tooling: Experience with Claude / Anthropic APIs, Claude Code, or equivalent LLM tooling. Comfortable building production systems on top of LLM APIs.
- Vector Databases: Exposure to Pinecone, Chroma, or similar. Understanding of embedding-based retrieval architecture and indexing strategies.
- AI Orchestration: Lang Chain or similar frameworks for multi-step AI workflows, including chaining, tool use, and prompt management at scale.
- AI Agents & Automation: Building AI agents or workflow automations beyond simple chat interfaces. Experience with multi-step reasoning, tool integration, autonomous task execution.
- LLM Governance: Awareness of governance – logging, monitoring, cost controls, and responsible AI practices in enterprise settings.
- GitHub Portfolio: Published/maintained repositories demonstrating applied AI work. This is explicitly valued and can compensate for lack of graduate education.
Nice to Have
- Understanding of LLM governance, monitoring, and cost controls.
- GitHub portfolio showcasing AI/LLM projects.
- 4-10 years in software engineering with 1-3+ years focused on applied AI / ML engineering.
- Experience shipping AI products, building RAG systems, or deploying agents in production.
- Python proficiency is baseline – all referenced tooling is Python-first.
- Financial services experience is a plus but not required.
- Strong communicators who can work with non-technical business stakeholders.
Education and Experience
- Graduate-level degree in computer science, engineering, or related technical field.
- Candidates who can execute on vision and help build an industry-leading organization are highly valued.
Benefits
- Healthcare insurance for you and your family (medical, dental, vision).
- Short / Long term disability insurance.
- Life Insurance.
- Accidental death & disability Insurance.
- 3 weeks of Paid Time Off.
- Support and fee coverage for immigration needs.
- Remote office set up stipend.
- Support for industry certifications.
- Additional cash incentives.
- Re-skilling opportunities to transition between technologies.