AI Agent Developer Co-op - Help Build the Future of Health Tech

*This is a remote position, but Edmonton and Vancouver are preferred*

Term: Fall 2025 (Flexible)

Co-op immediately available

About Total Life:

Total Life is one of North America’s fastest-growing digital health companies, on a mission to help older adults live longer, healthier, and more connected lives. We’ve delivered over 100,000 therapy sessions, partnered with major health systems, and are now leveraging AI to accelerate access to care, improve operations, and unlock meaningful change in healthcare delivery.

www.totallife.com

The Opportunity:

We’re looking for a highly motivated AI Agent Developer Co-op who’s eager to take on real responsibility and build AI tools that have company-wide impact. In this role, you’ll be a critical contributor to projects that improve how we reach, support, and serve thousands of individuals across the US.

You’ll work closely with engineers, product leaders, and our operations teams to build intelligent systems that support everything from client onboarding and customer service to recruitment and marketing automation. This isn’t just a learning opportunity—it’s a launchpad. Exceptional performers will be considered for a full-time role with equity upon graduation.

What you'll work on:

• Design and deploy AI agents to streamline client sign-ups and session bookings
• Build NLP tools to summarize transcripts and notes for clinical efficiency
• Develop internal automation for recruitment, HR, and marketing workflows
• Collaborate with engineering to deploy intelligent routing and response systems
• Integrate LLMs and structured data into custom dashboards and analytics

Technical Skills:

• Strong Python skills, with hands-on experience using LangChain, LlamaIndex, or similar frameworks
• Experience working with LLM APIs (OpenAI, Claude, Gemini, Mistral, or open-source)
• Understanding of vector databases (e.g. Pinecone, FAISS, Weaviate) and RAG pipelines
• Familiarity with Streamlit, Flask, or FastAPI for building and deploying MVPs
• Basic DevOps familiarity (Git, Docker, cloud platforms)
• Machine Learning
• Data analytics skills

• Bonus: experience with tools like Airtable, Twilio, HubSpot, or other workflow integrations

Ideal Candidate Profile:

• Upper-year Computer Science, Software Engineering, or related program student
• Demonstrated experience building and deploying AI tools or automations must have a tool you have built that works
• Excellent problem-solving and organizational skills
• Curious, resourceful, and proactive in identifying areas for improvement
• Comfortable working cross-functionally with engineering and non-technical teams
• Passionate about using technology to make a difference in people’s lives

• A high-impact role at a purpose-driven health tech company
• Mentorship and collaboration with senior leadership
• The chance to contribute to meaningful projects from day one
• Potential for full-time employment and equity post-graduation
• Flexible work environment with a strong culture of growth and ownership