ShyftLabs Announces Official OpenAI Partnership
ShyftLabs
ShyftLabs announced that it became an official OpenAI partner as it expands enterprise AI solutions and production deployments.
Read articleAt 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.
ShyftLabs is looking for an Associate AI Engineer (New Grad) to join our growing engineering team. This is an exciting opportunity for a recent graduate or early-career engineer who wants to work at the intersection of AI/ML and backend software development.
In this role, you’ll help design and build AI-powered features that are integrated directly into real-world applications and data platforms. You’ll work closely with experienced engineers, product managers, and architects to develop scalable backend services, integrate AI tools and APIs, and contribute to production-ready systems used by enterprise clients.
This is a hands-on engineering role with strong mentorship and learning opportunities, ideal for someone who enjoys both software development and applied AI technologies.
Assist in building and integrating AI-powered features into backend applications and workflows
Work with LLM APIs, machine learning models, and automation pipelines to support intelligent product experiences
Develop and maintain backend APIs, microservices, and integrations using modern development frameworks
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
Support the development of scalable data pipelines and workflows for AI-enabled applications
Participate in testing, debugging, monitoring, and improving production systems
Contribute to technical documentation, API specifications, and architecture discussions
Learn and apply best practices in software engineering, cloud development, and AI integration
Participate in code reviews and collaborate with senior engineers to improve code quality and system reliability
Stay current with emerging AI/ML technologies, tools, and engineering practices
Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI, or a related field
Internship, co-op, academic project, or personal project experience in software engineering, AI/ML, or backend development
Proficiency in Python and familiarity with libraries or frameworks such as TensorFlow, PyTorch, or Scikit-learn
Understanding of backend development concepts such as APIs, microservices, and databases
Familiarity with JavaScript/TypeScript or Node.js is considered an asset
Exposure to REST APIs, SQL, and cloud platforms such as AWS or GCP through coursework, internships, or projects
Interest in AI/ML technologies, including LLMs and intelligent automation tools
Strong problem-solving skills and willingness to learn new technologies quickly
Good communication and collaboration skills in a team environment
Understanding of software development fundamentals, including testing, version control, and Agile development practices
Experience working on personal, academic, or hackathon projects involving AI or data platforms
Familiarity with tools such as Docker, Git, Kafka, or cloud deployment workflows
Exposure to data engineering, ETL pipelines, or analytics systems
Interest in scalable distributed systems or event-driven architectures
Contributions to open-source projects, technical clubs, or developer communities
The Associate AI Engineer helps build AI-enabled features and integrate them into backend applications and data platforms. The role combines applied AI/ML work with backend development, production support, and collaboration with engineering and product teams; it is aimed at new graduates and early-career candidates.
ShyftLabs builds enterprise data and AI systems for organizations in retail, healthcare, financial services, energy, government, manufacturing and supply chain. Its work spans applied intelligence, data infrastructure and engineering, activation and analytics, and governance and security. The company also develops Continuum, an agentic AI platform comprising an open-source agent runtime, Aura for intelligent model routing, and Provenance for governance and observability. ShyftLabs says it has launched more than 50 enterprise solutions and employs more than 250 data and AI specialists across locations including Toronto, New York, Dubai and India.
ShyftLabs offers candidates exposure to enterprise AI, data engineering and agentic AI projects used by major retailers, healthcare organizations and public-sector clients. The company says it has more than 250 data and AI specialists and has launched over 50 enterprise solutions. Its Continuum platform includes an open-source agent runtime, intelligent model routing and AI governance, creating work across agents, distributed systems, data infrastructure and security. Current roles reference Python, Databricks, Spark, AWS, Azure, GCP, Terraform and Kubernetes. Job postings also highlight technical ownership, mentoring, professional development, employer-paid health benefits in Canada and hybrid flexibility for applicable roles.
Programming Language
Backend Framework
Frontend Framework
Database
Database
Data and AI Platform
Data Processing
Data Processing
Data Platform
Cloud Data Platform
Data Transformation
Data Orchestration
Cloud Infrastructure
Cloud Infrastructure
Cloud Infrastructure
Infrastructure as Code
Containers
Container Orchestration
Workflow Orchestration
Vector Database
Vector Database
AI Observability
Machine Learning Platform
Cloud Data Warehouse
Founder and CEO of ShyftLabs with a background in analytics, product and retail technology. Before founding ShyftLabs, Khandelwal worked at companies including Jet.com, Citi and Evernote and co-founded Minoan. He holds an MS in Operations Research from Columbia University and a BE in Computer Science from Panjab University.
Leads security and privacy initiatives at ShyftLabs and contributes to the company's enterprise AI governance work. His background includes software engineering, application security, penetration testing and cloud security, with prior cybersecurity experience at KPMG and professional certifications across AWS and Google Cloud.
Leads consulting and services at ShyftLabs, helping translate enterprise business requirements into data, AI and digital transformation programs. His background includes product management, consulting and entrepreneurship, including co-founding healthcare technology venture InsightHx.
ShyftLabs
ShyftLabs announced that it became an official OpenAI partner as it expands enterprise AI solutions and production deployments.
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