... weekends. Qualifications : Required : • 5+ years of professional experience in a technical ... Weights & Biases is a developer-first MLOps platform that builds machine learning performance ...
... weekends. Qualifications : Required : • 5+ years of professional experience in a technical ... Weights & Biases is a developer-first MLOps platform that builds machine learning performance ...
Weekend Langchain Developer information
What is the difference between Weekend Langchain Developer vs Weekend Python Developer?
| Aspect | Weekend Langchain Developer | Weekend Python Developer |
|---|---|---|
| Required Credentials | Knowledge of Langchain, Python, API integration | Proficiency in Python, scripting, API usage |
| Work Environment | Project-based, flexible hours, remote options | Project-based, flexible hours, remote options |
| Industry Usage | AI, NLP, chatbot development | Web development, data analysis, automation |
| Common Search Intent | Building AI chatbots, NLP tools | Web apps, automation scripts |
Both roles involve Python skills and flexible, project-based work environments. However, Weekend Langchain Developers focus on AI and NLP applications using Langchain, while Weekend Python Developers work on broader Python scripting for web and data projects. The choice depends on your specific interest in AI versus general programming tasks.
What are the most commonly searched types of Langchain Developer jobs in San Ramon, CA? The most popular types of Langchain Developer jobs in San Ramon, CA are:
What are popular job titles related to Weekend Langchain Developer jobs in San Ramon, CA? For Weekend Langchain Developer jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Weekend Langchain Developer jobs in San Ramon, CA look for? The top searched job categories for Weekend Langchain Developer jobs in San Ramon, CA are:
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Full-time
Posted 5 days ago
Job description
Job Summary:
Weights & Biases, part of CoreWeave, is focused on creating a powerful AI development platform. The Senior Technical Support Engineer will address complex technical issues, facilitate communication between support and engineering teams, and ensure that customers receive top-tier technical assistance.
Responsibilities:
• Own and resolve Tier 3 technical escalations from the support team — highly complex or cross-functional issues requiring deep technical investigation.
• Perform in-depth troubleshooting and root cause analysis across Weights & Biases systems, APIs, and integrations.
• Reproduce, isolate, and document bugs for handoff to engineering.
• Develop diagnostic scripts, tools, and automation to improve internal troubleshooting efficiency.
• Serve as a technical advisor to Support Engineers (Tier 1 and Tier 2), mentoring on debugging methodologies and product architecture.
• Identify recurring patterns and propose systemic improvements to reduce future escalations.
• Participate in incident response, postmortems, and internal technical documentation.
• Contribute to knowledge base articles and internal wikis to ensure consistent handling of technical cases.
• Participate in a 24/7 on-call rotation to provide support during weekends.
Qualifications:
Required:
• 5+ years of professional experience in a technical support, software engineering, or escalations-focused role.
• Expert in Python, with experience debugging, profiling, and developing production-grade code.
• Strong background in computer science or software engineering (B.S. in CS or equivalent experience).
• Deep familiarity with modern AI and machine learning ecosystems — from model training and experimentation (PyTorch, TensorFlow, etc.) to generative AI and LLM development (Hugging Face, LangChain, OpenAI, vector databases, etc.)
• Proficient in troubleshooting across distributed systems, APIs, containers, and have deep experience with multi-tenant architectures and tenant isolation.
• Excellent communication skills with the ability to translate complex issues for both technical and non-technical audiences.
• Demonstrated ability to collaborate effectively with product and engineering teams to drive issue resolution and product improvements.
• Self-directed, curious, and passionate about improving both user experience and internal processes.
• Proficient with tools like Datadog, Grafana, etc., for production monitoring and incident debugging.
• Own and resolve Tier 3 technical escalations from the support team — highly complex or cross-functional issues requiring deep technical investigation.
• Perform in-depth troubleshooting and root cause analysis across Weights & Biases systems, APIs, and integrations.
• Reproduce, isolate, and document bugs for handoff to engineering.
• Develop diagnostic scripts, tools, and automation to improve internal troubleshooting efficiency.
• Serve as a technical advisor to Support Engineers (Tier 1 and Tier 2), mentoring on debugging methodologies and product architecture.
• Identify recurring patterns and propose systemic improvements to reduce future escalations.
• Participate in incident response, postmortems, and internal technical documentation.
• Contribute to knowledge base articles and internal wikis to ensure consistent handling of technical cases.
• Participate in a 24/7 on-call rotation to provide support during weekends.
Preferred:
• Experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
• Familiarity with GPU-based compute environments and distributed training workloads.
• Previous experience in incident management, cloud platform or site reliability roles.
Company:
Weights & Biases is a developer-first MLOps platform that builds machine learning performance visualization tools. It is a sub-organization of CoreWeave. Founded in 2017, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Weights & Biases, part of CoreWeave, is focused on creating a powerful AI development platform. The Senior Technical Support Engineer will address complex technical issues, facilitate communication between support and engineering teams, and ensure that customers receive top-tier technical assistance.
Responsibilities:
• Own and resolve Tier 3 technical escalations from the support team — highly complex or cross-functional issues requiring deep technical investigation.
• Perform in-depth troubleshooting and root cause analysis across Weights & Biases systems, APIs, and integrations.
• Reproduce, isolate, and document bugs for handoff to engineering.
• Develop diagnostic scripts, tools, and automation to improve internal troubleshooting efficiency.
• Serve as a technical advisor to Support Engineers (Tier 1 and Tier 2), mentoring on debugging methodologies and product architecture.
• Identify recurring patterns and propose systemic improvements to reduce future escalations.
• Participate in incident response, postmortems, and internal technical documentation.
• Contribute to knowledge base articles and internal wikis to ensure consistent handling of technical cases.
• Participate in a 24/7 on-call rotation to provide support during weekends.
Qualifications:
Required:
• 5+ years of professional experience in a technical support, software engineering, or escalations-focused role.
• Expert in Python, with experience debugging, profiling, and developing production-grade code.
• Strong background in computer science or software engineering (B.S. in CS or equivalent experience).
• Deep familiarity with modern AI and machine learning ecosystems — from model training and experimentation (PyTorch, TensorFlow, etc.) to generative AI and LLM development (Hugging Face, LangChain, OpenAI, vector databases, etc.)
• Proficient in troubleshooting across distributed systems, APIs, containers, and have deep experience with multi-tenant architectures and tenant isolation.
• Excellent communication skills with the ability to translate complex issues for both technical and non-technical audiences.
• Demonstrated ability to collaborate effectively with product and engineering teams to drive issue resolution and product improvements.
• Self-directed, curious, and passionate about improving both user experience and internal processes.
• Proficient with tools like Datadog, Grafana, etc., for production monitoring and incident debugging.
• Own and resolve Tier 3 technical escalations from the support team — highly complex or cross-functional issues requiring deep technical investigation.
• Perform in-depth troubleshooting and root cause analysis across Weights & Biases systems, APIs, and integrations.
• Reproduce, isolate, and document bugs for handoff to engineering.
• Develop diagnostic scripts, tools, and automation to improve internal troubleshooting efficiency.
• Serve as a technical advisor to Support Engineers (Tier 1 and Tier 2), mentoring on debugging methodologies and product architecture.
• Identify recurring patterns and propose systemic improvements to reduce future escalations.
• Participate in incident response, postmortems, and internal technical documentation.
• Contribute to knowledge base articles and internal wikis to ensure consistent handling of technical cases.
• Participate in a 24/7 on-call rotation to provide support during weekends.
Preferred:
• Experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
• Familiarity with GPU-based compute environments and distributed training workloads.
• Previous experience in incident management, cloud platform or site reliability roles.
Company:
Weights & Biases is a developer-first MLOps platform that builds machine learning performance visualization tools. It is a sub-organization of CoreWeave. Founded in 2017, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.