…platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine…

…platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine…

…North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a…

…platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine…

…and observability help organizations deliver on the promise of AI. What is The Role Elastic is looking for a Lead Salesforce Engineer who combines…

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators…

…Join us and help build the platform engineers turn to to ship AI products. THE ROLE: Are you the person on your team who…

…Experience with event-driven architectures, messaging platforms, and streaming technologies. Experience with observability, monitoring, and production support practices. Experience using AI-assisted software engineering…

…You will contribute production code regularly, raise the engineering quality bar through strong technical judgment and collaboration, and ensure solutions are reliable, well-observed…

…to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. Understanding of responsible AI use in engineering workflows, including data…

…Drive adoption of AI-first development methodologies, tools, and workflows across R&D • Build and scale evaluation, monitoring, and observability frameworks as a core…

Software Engineer II, Full Stack Location: India — Hybrid About Abnormal AI Abnormal AI is redefining cybersecurity with an AI-native platform that protects modern…

…Mentor engineers within DXP and partner teams (NuDS, BDC, Mobile Platform), lead design reviews and RFCs, and raise the bar for AI-augmented development…

…to AI-native engineering as our standard. You will rethink backend design, validation, and delivery through AI-augmented workflows, ensuring our platform provides secure…

…observability. Solve complex problems involving real-time correlation, multi-tenancy, AI accuracy, and integration reliability. Create reusable platform capabilities and prevent duplicated engineering effort…

…Software Engineer to join the Voice AI Team. On the Voice AI Team, our mission is to build and operate the voice platform that…

…Data Engineering/Platform: Spark, Kafka, Airflow, Snowflake, and AWS. Platform engineering: containers, CI/CD, observability, and controlled release practices. Applied AI with LLMs: Claude…

…autonomous, tool-using actions with human-in-the-loop approval, built on a secure, auditable identity and permissions model Build the eval and observability…

…AI team is a tight-knit engineering team building the internal tools that power how the Camera, Photos, and Image Quality teams measure, evaluate…

…advanced AI, Java, and Python full-stack development skills. Job summary As a Lead Software Engineer at JPMorgan Chase within the Employee Platforms Team…

…or React (micro-frontend patterns a plus). Experience with Agentic AI frameworks (preference for Agentforce) and patterns for safe enterprise adoption (governance, evaluation, monitoring).

…to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding of responsible AI use in engineering workflows, including data…

…the evaluation, instrumentation, security, reliability, staged-rollout, and rollback standards required to operate probabilistic AI experiences safely. - Own the complete product and engineering lifecycle…

…Establish engineering best practices for production LLM and agent systems, including observability, logging, evals, safety mechanisms, rollout strategies, and incident response. Mentor engineers, raising…

…Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI…