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Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale.…
Backend Engineer maintaining and improving Grafana Cloud's control-plane services and workflows, ensuring reliable stack creation, configuration, and operations.
Builds and maintains the backend systems that manage Grafana Cloud stacks, ensuring reliable provisioning, configuration, and reconciliation across cloud regions and services.
Consults clients on AI-driven process transformations, designing and deploying generative AI solutions (LLMs, agents, RAG) to solve business challenges while collaborating with tech teams on cloud, DevOps, and system integrations.
Lead the architecture and development of Grafana's Tempo, a distributed tracing backend, focusing on scalability, performance, and operational excellence for observability products.
Build and manage Grafana Labs' internal Kubernetes platform on bare-metal hardware, handling networking, storage, and autoscaling while collaborating with distributed teams using Go, Python, and Shell.
Build and operate Grafana Cloud’s physical hardware and Kubernetes infrastructure, managing storage, networking, and cluster provisioning to scale observability services globally.
Build and manage Grafana Labs' physical hardware-based Kubernetes platform, handling bare-metal provisioning, networking, and scaling for internal teams using Go, Python, and Kubernetes.
You will co-own the MaaS system architecture and roadmap, set Go and API standards, build OpenAI- and Anthropic-compatible inference gateways, optimize routing and model serving, operate globally distributed services…
Builds AI-powered workflows and agent systems integrating LLMs, tools, and memory for reliable, real-time user interactions, bridging frontend/backend with ML teams.
Builds and maintains production AI inference systems, optimizing latency, reliability, and cost for real-time model-to-user interactions via scalable APIs.
Builds and leads full-stack telecom solutions (web/mobile apps, B2B/B2C platforms) with React/Next.js, Node.js, and GCP, integrating with mobile operators, AI services, and payment systems for scalable, high-availability systems in the Middle East region.
You build benchmark pipelines for LLM inference performance, create model launch gates, maintain representative workloads, compare model and runtime options, automate regression detection, and collaborate with runtime…
Designs and drives technical strategy for Elastic’s AI integrations with OpenAI and Anthropic, building reference architectures and prototypes to shape product direction and enable enterprise adoption.
About This Role About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly…
Embeds with enterprise clients to design and ship production-grade Python and GenAI systems (RAG, agents) using AWS, while owning architecture, client communication, and delivery from discovery to deployment.
About Majestic Labs We’re a fast-moving, US-Israeli AI startup building next-generation infrastructure for the world’s most demanding AI workloads. Our mission is to accelerate the future of intelligence and make it…
AI Engineer will own the analysis engine, evaluation framework, retrieval systems, and agentic architecture for RIVA, a product that analyzes businesses using language models. Core technologies include Python, FastAPI, PostgreSQL, LLM SDKs, LangChain, DSPy, and vector databases like pgvector or Qdrant.
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