Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Supplying high-quality pipes for residential, commercial, and industrial needs.
Description complète de l’entreprise
Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.
Abonnés LinkedIn
14 005
Bureaux déclarés
Sheikh Mohammed bin Rashid Boulevard 1, Zabeel, Dubai, AE
Autres noms enregistrés
Urban Ridge Supplies
Le profil indique une agence de recrutement
Non
Secteur
Wholesale Building Materials
Taille
2-10 employees
Siège social
Zabeel, Dubai
Type d’organisation
Privately Held
Urban Ridge Supplies a 124 offres ouvertes au Canada en date du 11 novembre 2026. Principaux lieux : Toronto, Mississauga et Kitchener.
2+ ansCandidates need 2-3 years of software, automation or AI product experience, basic-to-intermediate coding in Python, JavaScript or SQL, and hands-on use of LLM tools such as Claude, Codex, MCP and AWS. Strong communication, high ownership and comfort with ambiguity are essential.
5+ ansCandidates need 5+ years in a technical customer-facing role, strong coding and API integration skills, and clear communication with senior stakeholders. Experience with LLMs or AI agents, enterprise SaaS integrations, and a technical degree are preferred.
5+ ansUrban Ridge Supplies needs candidates with 5+ years of software engineering experience, strong full-stack skills in React, TypeScript, Python and SQL, and customer-facing delivery experience. Cloud experience on AWS and experience with AI copilots or orchestration workflows are also required.
2+ ansCandidates need at least two years of engineering experience shipping products people use, strong Python and backend skills, and experience building LLM agents with frameworks such as LangGraph or LangChain. Clear communication and interest in regulated industries are required; insurance experience is a plus.
5+ ansCandidates need 5+ years in a technical customer-facing role, strong coding and API skills, and fluent English and Spanish. Experience with LLMs, AI agents, and enterprise SaaS integrations is a plus.
Engineering principles, Root cause analysis, Documentation, Provide technical expertise, Workflow, Customer relationship management
3+ ansCandidates need at least 3 years of engineering, QA, solutions or similar technical experience, plus strong fundamentals and curiosity about AI prompting and multi-agent systems. Urban Ridge Supplies also expects a bias for action, self-direction, comfort with early-stage ambiguity, and a science or engineering background (dropouts welcome).
3+ ansCandidates need several years of software or technical delivery experience with a production system, a computer science or related degree, and customer-facing technical delivery experience. They must be fluent in Python, JavaScript/TypeScript, Java or Apex and hands-on with LLMs and prompt engineering.
Cursor, Claude, Salesforce Data 360, Snowflake, Databricks, BigQuery
10+ ansCandidates need 10+ years of software engineering experience with a strong backend or platform focus. They must know Go, PostgreSQL, TypeScript, React and Next.js, design REST APIs, and use AI coding assistants daily. Experience with Docker or Podman, CI/CD, cloud deployment and full testing is also required.
4+ ansCandidates need 4+ years shipping software with strong full-stack skills in TypeScript and Python. They must be comfortable with LLMs and third-party integrations, enjoy ambiguity and client contact, and be based in or near Toronto.
Candidates need proven experience shipping production systems, backend and API development, and cloud-native architecture (Azure preferred). Hands-on experience building LLM-powered applications, agent workflows, and secure, governed AI implementations is also required.
Candidates need strong backend software skills in Python, Java or similar languages, and hands-on experience building LLM-based applications. They also need clear communication skills for non-technical audiences and a technical academic background. Healthcare data or regulated-environment experience is a plus.
ML, Troubleshoot, Back-end development, Python, Oracle Java, Communication skills
8+ ansGoogle needs candidates with a bachelor's degree or equivalent practical experience, 8 years of customer-facing technical consulting work and 3 years of coding in languages such as Python or Java. Experience with large language models, prompt development and conversational AI is also required.
3+ ansCandidates need at least 3 years of engineering, QA, solutions engineering or similar technical experience, plus strong fundamentals and curiosity about AI and automation. They must take initiative, work without much direction, and be willing to relocate to SF or Toronto.
10+ ansCandidates need 10+ years building distributed data or ML platforms, strong customer-facing communication, and advanced Python and SQL. Experience with cloud data services, MLOps tools, LLMs and infrastructure as code is also required.
3+ ansCandidates need 3 to 5 years building software or AI, strong Python skills, and experience with AWS or Azure. A strong builder who is comfortable working with the business is needed, plus a bachelor's degree or equivalent experience.
7+ ansCandidates need 7 years of relevant experience and strong Python skills with machine learning libraries. They also need experience with LLMs or deep learning, cloud platforms, and MLOps tools.
3+ ansCandidates need a bachelor's degree in a technical field and 3+ years in conversational AI, solution engineering or AI/LLM application delivery. They must have strong prompt design, workflow and API integration skills, communicate well with non-technical clients, and code in Python or JavaScript.
10+ ansCandidates need at least 10 years of software or data engineering experience and 2 years building AI or generative AI solutions in production. They need experience with agent frameworks, RAG, prompt engineering, REST APIs and Microsoft 365 integrations, plus strong communication skills.
Microsoft Copilot, Copilot Studio, Harvey AI, Azure AI Foundry, Azure OpenAI, LangChain
Candidates need enterprise production experience, hands-on technical depth across Java and integrations, and practical AI experience used in real production work. Strong communication with technical and business stakeholders and comfort making judgment calls without a playbook are also required.
3+ ansCandidates need 3+ years of software or technical delivery experience (6-10 for senior), a computer science or related degree, and prior customer-facing technical delivery work. Hands-on experience with LLMs, prompt engineering and at least one of Python, JavaScript/TypeScript, Java or Apex is also required.
Cursor, Claude, Snowflake, Databricks, Salesforce Data 360
10+ ansCandidates need 10+ years as a principal data engineer, ML/AI architect or solutions architect, deep experience with OpenAI and Azure OpenAI APIs, and strong executive-level communication. Willingness to travel to customer sites about once a quarter is required.
7+ ansCandidates need a degree in a technical field, at least 7 years in software or AI engineering and 3 years building AI or generative AI solutions. They need advanced Python, RAG and agent experience, API integration skills, and the ability to work directly with business stakeholders.
Python, GitHub, Azure OpenAI, Azure AI Foundry, Microsoft Copilot Studio, Power Platform
3+ ansCandidates need 3+ years of building software or AI, Python experience, and familiarity with AWS or Azure. They must be capable builders who are comfortable working with business stakeholders, and hold a bachelor's degree or equivalent experience.
4+ ansCandidates need 4-7 years of software engineering experience, including 2 to 3 years hands-on with GenAI and agents, plus production experience with agentic applications, cloud AI platforms and Python. Strong skills in data pipelines, vector databases and RAG are required.
Google Cloud, Amazon Bedrock, Salesforce, ServiceNow, Python, Vector databases