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 articleYou will work closely with Product, Architecture, and cross-functional engineering teams to plan and deliver new features, lead development efforts, and ensure seamless integration across internal and external systems. This includes building robust APIs, event-driven services, and third-party integrations, while also contributing to emerging AI-powered capabilities within our platforms.
The ideal candidate combines strong backend and frontend engineering skills with experience in distributed systems, integrations, and scalable architectures. JavaScript, TypeScript, Node.js, and GraphQL remain core requirements for this role.
Design and development of scalable, service-based architectures (front-end and back-end), while remaining hands-on in coding and delivery
Architect and implement system integrations across internal services and third-party platforms (REST, GraphQL, event streams, webhooks, ETL pipelines)
Collaborate with Product to translate business requirements into technical solutions, defining scope, complexity, and dependencies
Drive development across teams for services built in Node.js, TypeScript, JavaScript, and Python
Design and maintain API contracts, data models, and integration patterns to ensure consistency and reliability across systems
Build and optimize secure, high-performance, and highly available systems
Contribute to AI-enabled features and workflows, including integration of ML models, LLM APIs, or intelligent automation pipelines
Partner with architects to define system design, integration strategies, and reusable frameworks
Produce clear technical documentation (architecture diagrams, data flows, API specs, integration patterns)
Establish and enforce best practices in code quality, testing, and deployment
Lead code reviews, approve merges, and mentor engineers across teams
Troubleshoot complex production issues and drive resolution across distributed systems
Oversee the end-to-end lifecycle of feature development—from design through deployment and monitoring
5+ years of experience building scalable, production-grade software systems across front-end and back-end
Bachelor’s degree in Computer Science or a related field
Strong expertise in JavaScript and TypeScript
Proven experience with Node.js and GraphQL (required)
Deep experience building and consuming RESTful APIs and distributed services
Strong proficiency with tools and technologies such as Python, Docker, Git, SQL, and cloud-native architectures
Hands-on experience with GCP or AWS services (e.g., S3, CloudFront, EC2, RDS, Lambda, Batch)
Experience designing and implementing system integrations (microservices, third-party APIs, event-driven architectures, messaging systems like Kafka/SQS)
Ability to lead and deliver large, complex technical initiatives
Strong understanding of software design patterns, system architecture, and data flow design
Excellent communication skills, with the ability to articulate complex technical concepts clearly
Experience working in Agile/Kanban environments and a strong understanding of the SDLC
Adaptability and a proactive mindset in fast-paced, evolving environments
Experience working on or building tax, fintech, or compliance-related products (e.g., tax calculation engines, filing systems, regulatory platforms)
Exposure to AI/ML engineering, including integrating LLM APIs, building data pipelines for ML workflows, or deploying AI-driven features
Experience with data platforms, data pipelines, or analytics systems
Familiarity with event-driven architectures and real-time data processing
Experience designing multi-tenant or enterprise-grade SaaS platforms
Background in integration-heavy environments (e.g., ERP, financial systems, external data providers)
A senior software developer role focused on building and evolving scalable, data-driven services and platform integrations. The work spans API and event-based systems, product delivery, and contributions to AI-enabled capabilities, with hands-on coding and technical guidance across engineering teams.
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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ShyftLabs introduced Aura, a model-routing layer within Continuum that can route AI requests across more than 250 models and 45 providers according to quality, latency, cost and policy requirements.
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ShyftLabs disclosed its work on the data foundation supporting MAC Cosmetics' Shopify storefront, including real-time activation, consent and privacy enforcement and unified customer profiles.
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ShyftLabs hosted AgentShyft during Toronto Tech Week, where developers built production-oriented agentic AI applications using the company's Continuum framework.
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