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Urban Ridge Supplies
2+ YOECandidates 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.
Claude, Codex, MCP, AWS, AI copilots
Urban Ridge Supplies
10+ YOECandidates 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.
Spark, Databricks, Snowflake, Redshift, dbt, Airflow
Urban Ridge Supplies
7+ YOECandidates 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.
Python, PyTorch, TensorFlow, Scikit-learn, Spark, Pandas
Urban Ridge Supplies
3+ YOECandidates 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.
LangChain, LlamaIndex, Twilio, Amazon Connect, n8n, Zapier
Urban Ridge Supplies
10+ YOECandidates 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
Urban Ridge Supplies
10+ YOECandidates 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.
OpenAI Platform APIs, Azure OpenAI Service, Cursor, PySpark
Urban Ridge Supplies
7+ YOECandidates 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
Urban Ridge Supplies
10+ YOECandidates need 10+ years of data or ML engineering experience, strong customer-facing communication, and hands-on skills with Spark, Databricks, Airflow, LLMs, vector stores, Python and SQL. Cloud, containerization and Infrastructure as Code experience and willingness to travel to customer sites are also expected.
Apache Spark, Databricks, AWS Glue, Snowflake, Redshift, dbt
Urban Ridge Supplies
3+ YOECandidates need 3-5 years of experience, strong Python skills and experience with LLMs, NLP or deep learning. They also need MLOps, cloud deployment and collaboration skills.
Python, PyTorch, TensorFlow, Docker, Kubernetes, MLflow
Urban Ridge Supplies
Candidates need real experience shipping systems that users depended on and handling their failures. They also need strong integration skills, solid Python or TypeScript, working knowledge of Linux, containers and CI/CD, and clear communication with non-technical clients under pressure.
Linux, Python, TypeScript
Urban Ridge Supplies
7+ YOECandidates need 7+ years of software or solution engineering experience and hands-on work with Python, C#, JavaScript or TypeScript. They also need experience running LLM, agentic and RAG applications in production on Azure or AWS.
GitHub, Azure, AWS
Urban Ridge Supplies
Candidates need a bachelor's or master's degree in computer science or a related field, strong programming skills in Python, Java/JavaScript or C++, and experience building backend services and APIs. They also need cloud experience (AWS, Azure or Google Cloud) and hands-on exposure to LLMs, RAG, embeddings and vector search.
Git, AWS, Microsoft Azure, Google Cloud, pgvector, Pinecone
Urban Ridge Supplies
11+ YOECandidates need 11 or more years in IT, software engineering or data science, with AI and ML experience and strong Python skills. Cloud AI services, vector databases and clear communication with non-technical leaders are also required.
Python, PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel
Urban Ridge Supplies
6+ YOECandidates need 6+ years in machine learning, data or software engineering, including 3+ years building AWS data pipelines. Strong Python, production AI deployment experience, and hands-on work with generative AI and knowledge graphs are required; a Bachelor's degree is required and a Master's is preferred.
AWS SageMaker, AWS ECS, AWS Lambda, AWS S3, AWS EventBridge, AWS Step Functions
Urban Ridge Supplies
Candidates need a bachelor's or master's degree in computer science or a related field, strong programming skills in Python, Java/JavaScript or C++, and hands-on cloud experience with AWS, Azure or Google Cloud. Experience building LLM and generative AI applications, including RAG and vector search, is required.
Git, Python, Java, JavaScript, C++, AWS
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
3+ YOECandidates need 3+ years of software engineering experience, including AI applications in production. They need strong Python, TypeScript, SQL and Git skills, plus experience with LLMs, RAG, AI agents and cloud platforms.
Docker, Kubernetes, Git, PostgreSQL, Elasticsearch, Azure AI Search
Urban Ridge Supplies
Candidates need strong Python skills and experience shipping large language model applications, plus hands-on retrieval (RAG) work, agent frameworks and enterprise AI platforms. They also need prompt engineering skills and clear technical writing.
Python, LangChain, LlamaIndex, Azure OpenAI, Google Vertex AI, Anthropic API
Urban Ridge Supplies
Candidates need hands-on Python production experience, experience building RAG and agentic applications, deep knowledge of the LLM stack, and skill in building evaluation frameworks and leading technical customer discussions.
Python, vector databases, LLM orchestration frameworks
Urban Ridge Supplies
4+ YOEGEI needs 4+ years of software engineering experience, including at least 1 year building generative AI applications. Candidates should know LLMs, Azure, a language such as Python or SQL, and big data tools like Spark or Databricks.
Copilot Studio, Azure Functions, Power BI, Databricks, Azure Data Factory, Azure Synapse
Urban Ridge Supplies
4+ YOEGEI needs candidates with 4+ years of software engineering experience, at least one year building Generative AI applications, and strong Python or SQL skills. Experience with Azure AI services and big data tools like Spark and Databricks is expected.
Copilot Studio, Azure Functions, Power BI, Databricks, Spark, TensorFlow
Urban Ridge Supplies
4+ YOECandidates need 4 to 8+ years in data science, machine learning or AI engineering, with production delivery experience. Strong Python skills and hands-on experience building agentic AI systems and working with LLM APIs, RAG and prompt engineering are required.
Python, PyTorch, TensorFlow, Scikit-learn, React, Streamlit
Urban Ridge Supplies
Derivative Path needs candidates with hands-on experience building with LLMs, such as RAG, agents or fine-tuning, plus data engineering and Python with AI frameworks. Production AI or MLOps experience and cloud platform knowledge are also wanted, and financial derivatives knowledge is a bonus.
Python, PyTorch, HuggingFace, LangChain
2 companies