--- title: 'AI Engineer Intern at ShyftLabs' canonical: 'https://feeny.ai/job/ai-engineer-intern-shyftlabs-toronto-jwdsjxhk4p77' type: 'job' last_seen: '2026-10-13' --- # AI Engineer Intern at ShyftLabs - **Company:** ShyftLabs - **Location:** Toronto, Canada - **Employment:** internship - **Work type:** onsite - **Posted:** 2026-07-21 - **Last confirmed live:** 2026-10-13 - **Apply:** https://jobs.lever.co/shyftlabs/4f389ea7-9b98-4ed0-99c2-b25ea8cc2dcd ## Job description ## About ShyftLabs At ShyftLabs, we live and breathe data. Since 2020, we’ve been helping Fortune 500 companies unlock growth through innovative digital solutions that drive real business impact. With teams across Canada, the U.S., and India, we’re growing quickly and looking for curious, motivated individuals who are excited to learn, build, and solve meaningful problems with technology. ## About Continuum Continuum is an enterprise AI agent execution and control platform designed to help teams build, run, and deploy reliable agentic applications. It provides agent orchestration, multi-model routing, persistent memory, tool integration, durable workflows, governance, guardrails, evaluation, and observability. We are looking for an AI Engineer Intern interested in building production-ready AI agents and applications. You will contribute to the Continuum platform while also using it to build agentic applications for real enterprise use cases. This is a hands-on engineering role. You will work across agent orchestration, memory systems, model optimization, retrieval, tools, guardrails, evaluation, and application development. ## What You'll Be Doing - Build and improve agent orchestration and multi-agent workflows. - Develop agentic applications for enterprise use cases using Continuum. - Work with different commercial and open-source models, including OpenAI, Anthropic, Gemini, Llama, Qwen, Mistral, and others. - Improve intelligent model routing based on task complexity, quality, latency, and cost. - Build persistent memory and state-management capabilities for long-running agent workflows. - Develop tool-calling functionality and integrations with APIs, databases, and enterprise systems. - Work with MCP servers and function tools to connect agents with external services. - Design context-engineering and retrieval pipelines using vector and graph databases. - Implement AI guardrails for safety, security, access control, data privacy, and policy enforcement. - Create evaluation pipelines to measure accuracy, groundedness, hallucination, tool usage, workflow completion, latency, and cost. - Improve the observability and traceability of agent decisions, tool calls, and workflow execution. - Optimize prompts, model usage, token consumption, response time, and infrastructure costs. - Build APIs, backend services, and user-facing prototypes for agentic applications. - Write clean, reusable, well-tested, and documented Python code. - Contribute to Continuum’s open-source codebase, examples, documentation, and developer experience. ## What We Are Looking For - Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. - Strong programming skills in Python. - Good understanding of machine learning, natural language processing, and LLM fundamentals. - Experience building at least one LLM-powered or agentic application. - Familiarity with prompt engineering, embeddings, RAG, tool calling, and structured outputs. - Experience working with APIs, Git, databases, and standard software engineering practices. - Ability to research complex technical problems, experiment with different approaches, and clearly communicate results. - Strong interest in building reliable AI systems, not just basic LLM demos ## Nice to Have - Experience with agent frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, or similar technologies. - Familiarity with OpenAI, Anthropic, Gemini, AWS Bedrock, or open-source models. - Experience with vector databases such as Milvus, Pinecone, Weaviate, or Chroma. - Experience with graph databases such as Neo4j. - Knowledge of PostgreSQL, Redis, Docker, Kubernetes, or cloud infrastructure. - Familiarity with AI observability and evaluation tools such as Langfuse. - Understanding of multi-tenancy, identity management, authorization, or enterprise security. - Experience with model routing, inference optimization, prompt compression, or cost optimization. - Contributions to open-source AI projects, research, hackathons, or technically strong personal projects. Hourly Pay - $20 - $30/Hr (CAD) ## Why You’ll Love Working at ShyftLabs At ShyftLabs, your work matters. We’re a growing data product company making a big impact with Fortune 500 clients and as we scale, you’ll have the chance to shape solutions, influence strategy, and grow your career alongside us. Here’s what you can expect when you join our team: -Hybrid Flexibility: Enjoy a hybrid model with three days per week in our Toronto office. -Downtown Toronto Office: Work in the heart of the city. -Growth & Learning: Access extensive learning and development resources to keep leveling up your skills. Inclusion at ShyftLabs We’re building something big, and we want you on the journey with us. If you’re ready to use data and innovation to make an impact, apply today and let’s grow together. ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we’ll be happy to support you. ## About ShyftLabs ## Company Overview - **One-liner**: ShyftLabs is a data and AI consulting firm that builds enterprise-grade intelligent systems to help Fortune 500 companies, retailers, health organizations, and public agencies turn data into measurable business outcomes. - **Entity Type**: Private (Bootstrapped) - **Headquarters**: Toronto, Ontario, Canada - **Founded**: 2018 - **Founders**: Brian Würtz Leth (Co-Founder, COO) – additional co-founders are not publicly listed. ## Core Business - **Primary industries**: Data & AI consulting, digital transformation, enterprise technology services. - **Target customers**: B2B, large enterprises (Fortune 500), government agencies, healthcare organizations. - **Mission or purpose statement**: “Move from pain points to measurable outcomes, fast.” They aim to make data actionable and power real-time decisions with privacy-first, responsible AI systems. ## Products & Services - **Enterprise AI & Data Consulting**: Custom AI solutions, machine learning models, and data infrastructure designed for trusted enterprise deployment. - **Digital Transformation Services**: Modernization of legacy systems, cloud migration, and scalable AI-ready platforms. - **Data Infrastructure & Governance**: Building governed data pipelines, privacy-first architecture, and secure integrations. - **Responsible AI Controls**: Governance frameworks, bias detection, and compliance-focused AI deployment. ## Market Standing - **Valuation/Market Cap**: Not disclosed (privately held). - **Key Metric**: Claims to have unlocked over $2B in client value (as stated on their website) and $500M+ in measurable value for clients. - **Notable Investors/Partners**: No public investors listed. Partners include major retailers, health organizations, and public agencies (specific names not disclosed). - **Growth Signals**: - Headcount: ~177 employees (LinkedIn) with +1.4% monthly growth; website states 250+ experts. - Active job postings: 30+ (Lever) with 22 roles posted in the last 90 days. - Offices in Toronto, New York, Dubai, and Noida (India), with distributed teams across 6 countries. - 54% of employees in technical roles, indicating strong engineering focus. ## Competitive Advantages - **Privacy-first architecture** and **governed data infrastructure** tailored for enterprise compliance. - **Multi-geography delivery** (North America, Europe, Middle East, India) enabling 24/7 support and diverse talent pools. - **Track record with Fortune 500 clients** and proven ability to deliver measurable ROI (over $500M client value). - **Full-stack AI expertise** spanning data engineering, machine learning, and responsible AI governance. ## Strategic Focus - Scaling AI systems that power real-time decisions across critical industries (retail, healthcare, government). - Modernizing legacy infrastructure for enterprises moving to AI-ready platforms. - Expanding their presence in commerce media (e.g., Carter partnership) and deepening client relationships through account management. - Growth in autonomous AI agents and privacy-first solutions. ## Why Work Here - **Culture & Ratings**: 4.2/5 on Glassdoor (60 reviews) with Work-Life Balance 4.3, Compensation 4.2, Culture 4.2. - **Benefits**: 100% coverage for health, dental, and vision insurance for employees and dependents from day one. - **Work Environment**: Hybrid policy in Toronto (minimum 4 in-office days per week); other offices vary. Fast-paced, product-focused, and collaborative. - **Growth Opportunities**: Continuous learning, influence over strategic direction, and opportunities to build AI systems used by Fortune 500 companies. - **Diversity & Inclusion**: Equal opportunity employer committed to creating a safe, diverse, and inclusive environment. ## Sources 1. [shyftlabs.io](https://shyftlabs.io/about-us) 2. [LinkedIn](https://linkedin.com/company/shyftlabsio) 3. [Indeed](https://ca.indeed.com/cmp/Shyftlabs/jobs) 4. [GetClera](https://www.getclera.com/companies/shyftlabsio) 5. [Lever Jobs](https://jobs.lever.co/shyftlabs) ## Other roles at ShyftLabs - [WMS Engineer](https://feeny.ai/job/wms-engineer-shyftlabs-noida-wx01vr1xa779) — Noida, India - [Lead QA Automation Engineer (PlayWright)](https://feeny.ai/job/lead-qa-automation-engineer-playwright-shyftlabs-noida-75cvqnw891kp) — Noida, India - [Data Engineer -Databricks](https://feeny.ai/job/data-engineer-databricks-shyftlabs-coimbatore-zsysdnmhkj7m) — Coimbatore, India - [Lead Data Engineer - Databricks](https://feeny.ai/job/lead-data-engineer-databricks-shyftlabs-coimbatore-qhb5jr51jvay) — Coimbatore, India - [Senior Technical Recruiter](https://feeny.ai/job/senior-technical-recruiter-shyftlabs-noida-qgfjmqsenk0z) — Noida, India - [Principal Technical Product Manager](https://feeny.ai/job/principal-technical-product-manager-shyftlabs-toronto-dcgq4stsw1j7) — Toronto, Canada - [Senior Data Analyst](https://feeny.ai/job/senior-data-analyst-shyftlabs-noida-5nvapc5fh3m6) — Noida, India - [Technical Product Manager](https://feeny.ai/job/technical-product-manager-shyftlabs-toronto-yd4wz7avxd9z) — Toronto, Canada - [Software Developer](https://feeny.ai/job/software-developer-shyftlabs-noida-8rgf0nc7yfma) — Noida, India - [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-shyftlabs-toronto-krwjay93a8ve) — Toronto, Canada