Role Summary
Nucleus is looking for a Forward Deployment AI Engineer to work with our clients' businesses, rolling up your sleeves to design, build, and deploy AI-powered solutions that create real operational impact. You won't be sitting behind a desk writing specs; you'll be on-site at small and mid-size businesses diagnosing inefficiencies, earning stakeholder trust, and shipping production-grade AI agents, automated workflows, and engineering solutions that change how these organizations run.
This is a hands-on, client-facing engineering role built for someone who is as comfortable presenting to a small business owner as they are writing Python. This role may operate remotely from within Canada, with a strong preference for a candidate who is able to meet face-to-face with clients in either Vancouver or Toronto.
General Duties and Responsibilities
- Embed directly with clients to discover operational pain points, map workflows, and identify high-ROI opportunities for AI and automation.
- Design and build AI agents using frameworks such as LangChain, LangGraph, AutoGen, or similar, including tool-use, memory, and multi-agent orchestration patterns.
- Develop AI-powered workflows that integrate with clients' existing systems (CRMs, ERPs, cloud platforms, communication tools, etc.)
- Engineer automation solutions across areas such as document processing, data extraction, reporting, customer communication, and internal operations.
- Own the full delivery lifecycle from scoping and architecture to build, testing, handoff, and lightweight documentation.
- Train and enable client teams to maintain and iterate on solutions post-deployment.
- Serve as a trusted technical advisor, translating complex AI capabilities into clear business value for non-technical stakeholders.
- Contribute internally by codifying reusable components, playbooks, and delivery templates that scale across the practice.
Required Skills and Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
- 2+ years of professional experience in software engineering, AI/ML engineering, or a technical consulting role.
- Working proficiency in Python and familiarity with REST APIs and cloud services.
- Hands-on experience building with LLM APIs (OpenAI, Anthropic, Gemini, or similar).
- Understanding of prompt engineering, RAG (Retrieval-Augmented Generation), and agentic workflow patterns.
- Ability to work independently in ambiguous, fast-moving client environments.
- Strong communication skills: You can explain a vector database to a CFO without losing them.
Preferred Skills and Qualifications
- Experience with workflow automation platforms (Zapier, Make, n8n, or similar).
- Familiarity with vector databases (Pinecone, Weaviate, Chroma) and embedding pipelines.
- Exposure to low-code/no-code tools alongside custom-code solutions.
- Prior client-facing, consulting, or forward-deployed engineering experience.
- Experience working with SMB clients across industries such as professional services, healthcare, logistics, or retail.
Perks!
- An award-winning culture and organization that focuses time and energy on YOU and fostering an awesome workplace
- Hybrid Remote Environment
- In-Person and Virtual Staff Socials - we offer an outgoing culture that provides lots of opportunities to connect with your co-workers
- Competitive Salary & Annual Vacation Time
- Comprehensive Benefits, including a Health Spending Account and RRSP Matching program
- Birthdays off!
