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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.…
At , we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital…
Research engineer on Anthropic's Security team who designs RL environments and evaluations and runs training experiments to improve model capabilities in defensive cybersecurity (secure coding, vulnerability discovery and remediation). Blends ML research with hands-on engineering, delivering results into production training runs.
Teach live AI/ML sessions, review student projects, and mentor engineers transitioning into AI roles using production-grade systems and frameworks.
Post-sales technical role owning long-term customer success for Grafana Cloud in Australia: leading technical discovery, solution design, onboarding, training, and troubleshooting for observability deployments built on Grafana, Prometheus, Loki, and Kubernetes.
Position is Remote from Poland or hybrid form Warsaw Simon-Kucher is helping organizations unlock better growth by combining deep commercial expertise in pricing, sales, marketing and customer experience with…
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 growing group of…
Senior Software Engineer building EverQuote's public-facing insurance marketplace and internal toolsets in Belfast: architecting high-impact features, driving agentic AI innovation (RAG, MCP, Claude), and mentoring junior engineers. Core stack: TypeScript, back-end, AWS, Kubernetes, infrastructure as code, CI/CD.
Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make…
Senior Data Engineer building a multicloud (Azure + GCP) data ecosystem on Databricks and Spark that powers production LLM/RAG systems — including document chunking, embeddings, vector search, and Airflow-orchestrated pipelines. Fully remote across Poland, with optional use of a Warsaw office.
Builds and maintains test environments, CI/CD pipelines (Jenkins/GitLab), and monitoring for ML services at Russia's largest digital-health platform. Deploys pre-trained ML models on Kubernetes/Helm using an MLOps stack (DVC, MLflow, SeldonCore, Airflow/Dagster) alongside Docker, ArgoCD, Terraform, and Prometheus/ELK.
Senior architect owning Citation Group's AI/data architecture: sets patterns for AI builds, decides closed-frontier vs open-weight model choices, manages token cost and data readiness, and governs security and responsible AI. Hands-on stack includes AWS AI services, frontier model APIs (Anthropic/OpenAI/Google), self-hosted Llama/Mistral/Qwen, Snowflake and Salesforce.
Mid-level engineer who designs, builds, and improves AI agents on Joblogic's multi-tenant LangGraph agent platform — owning prompt engineering, evaluations, RAG, and applied ML models trained and served via Databricks or AWS SageMaker. Core stack: Python, LangChain/LangGraph, LangSmith, PromptFoo, vector search, Pandas/SQL.
Senior engineer in Bangalore who builds and maintains QA automation frameworks, tools, and CI/CD-integrated test infrastructure at Zeta Global, a marketing technology (adtech) company. Writes production-grade Python, sets automation standards, mentors engineers, and drives org-wide quality improvements; AI/ML experience (RAG, LangChain) is a plus.
Data Engineer building and modernising Rimes' financial data platform, focusing on reusable tooling, scalable data models, and efficient pipelines using Python, SQL, Databricks/Spark, and Snowflake, with an interest in agentic AI workflow automation.
Senior ML Engineer builds and optimizes agentic AI systems for algorithmic trading at a large Russian bank, focusing on LLM agents, multi-agent orchestration, and RAG pipelines.
Build and deploy trustworthy, multi-agent AI systems that analyze sports performance data to provide calibrated, escalation-aware recommendations for coaches and athletes, using Python, Go, and AWS.
Build and ship production AI features—LLM agents, RAG pipelines, and streaming responses—into Collibra’s enterprise data governance platform, ensuring governed, secure, and compliant AI for global customers.
Project Lead–level software engineer at ServiceNow in Hyderabad who leads and mentors a team of software and AI engineers building AI-native products (LLMs, agents, RAG) on cloud IaaS. Day-to-day blends people management and code/prompt reviews with hands-on Java/Python development, testing, and AI evaluation harnesses.
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