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Citi
6+ ansCandidates need 6 to 10 years of backend development experience, deep Java 8+ skills including reactive frameworks, and hands-on experience with Kafka, MongoDB and Elasticsearch. Strong JUnit testing, Git workflows and CI/CD knowledge are also required.
Java, Apache Kafka, MongoDB, Elasticsearch, Spring WebFlux, Project Reactor
Architech Solutions
7+ ansCandidates need 7+ years in data architecture or engineering, including 2+ years on the Microsoft Azure data ecosystem. Strong experience with Microsoft Fabric, Azure Data Factory, Synapse, Power BI, SQL and Python is required.
Microsoft Fabric, Azure Data Factory, Synapse, Power BI, Azure SQL, Databricks
Urban Ridge Supplies
Candidates need a strong backend and Python foundation, proven experience shipping LLM-powered features to production, and deep knowledge of RAG, LLM evaluation, prompt engineering and agent architectures. They must also work independently in ambiguous, fast-moving environments.
Docker, Git, Langfuse, LangSmith, vLLM
Urban Ridge Supplies
5+ ansCandidates need a computer science, data science or AI degree plus five or more years in a technical role building production systems. Strong Python, machine learning, LLM and RAG skills, cloud experience (Google Cloud preferred), and communication with non-technical stakeholders are required.
Python, Java, SQL, Spark, Google Cloud, Gemini
Urban Ridge Supplies
3+ ansCandidates need a bachelor's degree or equivalent experience, 3 to 5 years of engineering experience and over a year deploying LLM applications. They must be strong in Python and APIs, have worked with a frontier GenAI platform, and be able to build retrieval and agentic systems.
Claude API, OpenAI Assistants API, Gemini API, Vertex AI Agent Builder, LangChain, LlamaIndex
Tiger Analytics Inc.
Candidates need advanced Google Cloud and Vertex AI skills, hands-on experience with LLM frameworks, vector databases and model serving, and strong Python. They must also be able to explain AI limits to clients and travel to client sites.
Vertex AI, Google Kubernetes Engine, Terraform, Google Cloud SDK, LangChain, LlamaIndex
Tiger Analytics Inc.
Candidates need hands-on Google Cloud Vertex AI experience, advanced SQL for BigQuery and Python for machine learning. They also need experience with cloud storage, model endpoints, data preprocessing and agentic AI architectures.
Vertex AI, BigQuery, Spanner, AlloyDB, Dataflow, Google Cloud Storage
Tiger Analytics Inc.
Candidates need hands-on experience with LLM frameworks, vector databases, model serving and multi-cloud infrastructure, plus strong Python skills. Travel to client sites is required.
Terraform, OpenTofu, Kubernetes, LangChain, LlamaIndex, AutoGen
Prophix
3+ ansCandidates need a computer science or related technical credential, 3 to 5 years of hands-on data integration experience, and experience building RESTful JSON APIs. They also need cloud and on-premise data connectivity experience, scripting skills in languages such as Python, JavaScript or SQL, and working knowledge of Windows, SQL Server and AWS.
AWS, SQL Server, Windows, SnapLogic, Java web services, Python
Oscilar
8+ ansCandidates need 8+ years of web development, including at least 3 years building SDKs, and strong JavaScript, TypeScript and browser API skills. Experience with data privacy, encryption and cross-browser compatibility is also needed.
Git, Webpack, Babel, Rollup
Elastic: Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale.
Candidates need deep Java internals and JVM memory management knowledge, plus experience profiling and benchmarking distributed systems with tools such as JMH and Rally. They also need an understanding of distributed systems architecture and a track record of using AI or advanced tooling to speed up optimization.
JMH, Rally, Elasticsearch, Java
Elastic: Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale.
Candidates need deep Java and JVM knowledge, experience profiling and optimizing distributed systems, and an understanding of distributed architecture. Experience using AI or advanced tooling for optimization and the ability to work autonomously across teams are also required.
Elasticsearch, JMH, Rally, flamegraphs
Randstad Canada
3+ ansCandidates need at least 3 years of hands-on Reach Truck experience, with Double Reach preferred. They must work well in cold storage, pass an on-site forklift road test, understand English voice-picking instructions and pass a criminal background check.
Reach truck, Double Reach forklift, Voice-picking system
Randstad Canada
3+ ansCandidates need at least 3 years of hands-on Reach Truck experience, with Double Reach preferred. They must work well in cold storage, pass an on-site forklift road test, understand English voice-picking instructions and pass a criminal background check.
Reach truck, Double Reach forklift, Voice-picking system
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