Observe.ai jobs

Senior Site Reliability Engineer (Europe) Remote or Hybrid UK | Remote ABOUT TRIGGER.DEV Trigger.dev http://Trigger.dev is a developer platform for building and running AI agents and workflows. We provide everything needed to create production-grade agents: an SDK, deploying, scaling, monitoring, and debugging them without needing to manage any infrastructure. Our Cloud product is a managed service where we deploy our users' code and auto-scale from zero to millions of executions. Today, we serve thousands of teams building AI apps and agents, handling hundreds of millions of executions per month. ABOUT THE POSITION We're hiring a Senior Site Reliability Engineer to keep Trigger.dev http://Trigger.dev fast, observable and hard to break as we scale. You'll work across our open source codebase and the Cloud product that runs it in production. We're handling hundreds of millions of executions a month on infrastructure we run ourselves, and the next order of magnitude needs someone who thinks in distributed systems and treats observability and security as part of the product, not bolted on later. Day to day you'll be chasing bottlenecks, hardening services like the sandbox runtime that executes untrusted user code, and making the platform legible to the engineers running it at 3am. WHAT YOU'LL BE DOING You'll do a variety of things including: - Owning observability across the platform. Extending our OpenTelemetry instrumentation, sanding down noisy signals, and making metrics, logs and traces something engineers actually reach for during incidents. - Designing and operating the distributed systems primitives we lean on (queues, schedulers,

Data Scientist AI 2 Locations posted: Posted 30+ Days Ago

AI Scientist WA07-01-Bellevue-1100-112th Avenue NE posted: Posted 25 Days Ago

Senior Backend Engineer - ClickStack United States (remote) About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey! Join us in revolutionizing Observability for Developers! We're on a mission to redefine how engineers monitor, debug, and scale their production applications using ClickStack. An open-source platform that transforms telemetry data into actionable insights. Imagine a world where logs, metrics, traces, and session replays come together seamlessly to pinpoint root causes faster than ever before. If you've ever been jolted awake at 2 AM, frustrated with Grafana, Datadog, or Elastic for not delivering the answers you need, you'll resonate with the problem we're solving. And now, you can help us solve it. We're hiring a Senior Backend Engineer to help us build a petabyte-scale, high-performance observability platform with a laser focus on crafting an amazing developer experience. What

Senior Embedded Middleware & Automation Engineer Foster City, CA We are looking for a software engineer to help scale development productivity, automation, observability, and system diagnostics for embedded and connected device platforms for Zoox's Telematics and Infotainment firmware team. This role sits at the intersection of embedded Linux development, middleware integration, automation infrastructure, developer tooling, and AI-assisted engineering workflows. The ideal candidate is comfortable working across Linux user space, middleware, automation frameworks, CI/CD systems, telemetry pipelines, and system-level debugging to improve developer velocity and product quality. This is not a traditional QA/SDET role. We are looking for engineers who combine strong software engineering fundamentals with practical automation, tooling, and systems debugging experience in embedded environments. What Success Looks Like: Improves engineering productivity through automation, tooling, and AI-assisted workflows Reduces debugging and validation turnaround time through better diagnostics and observability Enables scalable and reliable automation across multiple device platforms Helps engineering teams move faster by simplifying development, testing, and troubleshooting workflows Contributes both technically and operationally across middleware, tooling, automation, and system integration areas We are looking for a software engineer to help scale development productivity, automation, observability, and system diagnostics for embedded and connected device platforms for Zoox's Telematics and Infotainment firmware team. This role sits at the intersection of embedded Linux development, middleware integration, automation infrastructure, developer tooling, and AI-assisted engineering workflows. The ideal candidate is comfortable working across Linux user space, middleware, automation frameworks, CI/CD systems, telemetry pipelines, and system-level debugging to improve developer velocity and product quality.

AI Engineer - Core San Francisco, California, United States Hilbert is building a reasoning engine that must navigate non-deterministic user behavior across data silos - turning months-long decision cycles into minutes. Fully agentic by design, our demand intelligence platform doesn't just call APIs; it solves the hard problem of orchestrating multi-step inference over messy, high-stakes enterprise data where deterministic answers don't exist. From Fortune 500 enterprises to beloved brands like FreshDirect, Blank Street, and Levain Bakery, operators run their growth on Hilbert. We're also co-building alongside leading AI companies. We're looking for an AI Engineer who can build production-grade AI systems end-to-end - from prototype to pipeline to product - with the ownership and urgency of a startup culture. This is not a "wire up a prompt chain and move on" role. You'll own core pieces of the AI stack that power Hilbert's demand intelligence platform - designing agent architectures, building evaluation systems, and making hard tradeoffs between accuracy, latency, and cost in production. You'll ship fast in conditions where the spec is evolving, and communicate what you're building (and why) with clarity to the rest of the team. If you think in systems, have opinions about how agentic workflows should actually work, and want to build AI products that drive real enterprise outcomes, we want to meet you. THE ROLE You'll work directly with the founding team and across product, data, and GTM to design, build, and improve the AI systems at the heart of Hilbert. The environment is

Abuse Investigator (AI Self-Improvement Risk) San Francisco, California, United States About the Team OpenAI's mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn. The Intelligence and Investigations team supports this by identifying and investigating misuses of our products - especially new and emerging classes of risk. This enables our partner teams to develop data-backed policies and safety mitigations. Precisely understanding how models behave in real-world conditions allows us to safely enable users to build useful things with our products. About the Role As an Abuse Investigator focused on AI Self-Autonomy and Agentic Risk on the Intelligence and Investigations team, you will be responsible for identifying and investigating cases where models exhibit autonomous or agentic behavior, including chaining capabilities, acting with increasing independence, or demonstrating patterns that may introduce safety risk. This includes detecting behaviors that are not explicitly intended, understood, or covered by existing safeguards. This role requires deep domain-specific expertise in identifying, understanding, and mitigating risk from agentic systems, model autonomy, and AI self-improvement signals. You'll need experience investigating complex systems where behavior emerges across multiple steps, tools, or interactions, and the ability to distinguish between normal task execution and concerning patterns such as persistence, workaround behavior, or capability expansion. You'll need a proven ability to navigate ambiguous signals in a rapidly evolving and highly technical environment. This role is based in our San Francisco office. Investigations may

Senior Frontend Engineer, AI Observability & Evals Platform San Francisco, CA, United States, New York, NY, Boston, MA About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the role (In person 5 days/week in San Francisco, CA, New York, Boston ) We're looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise

Senior AI Engineer USA - IL (Remote) posted: Posted 29 Days Ago

Software Engineer, Infra/Data San Francisco | OnSite | New York City | United States WHAT WE'RE BUILDING In 2026, we're on the verge of an "infinite software crisis." How will we support, maintain, and operate the explosion in application development? Our answer is Sazabi: the AI-native observability platform for fast-moving engineering teams. Sazabi gives teams a single place to ask questions about their production systems in plain language, automatically visualize what's happening, and get to the root cause 10x faster. No tedious instrumentation. No dashboard configuration. No alert tuning. Just answers. We're backed by tastemakers from the world's top AI companies: Vercel, Graphite, Daytona, Browserbase, LangChain, Mastra, Replit, and more. WHAT YOU'LL DO - Build and scale our log ingestion and processing pipeline - Design systems for high-throughput, low-latency data processing - Own storage, indexing, and query systems for logs - Ensure reliability, scalability, and cost-efficiency of our backend systems - Work on distributed systems that power real-time observability - Debug and optimize performance at every layer of the stack WHAT WE'RE LOOKING FOR - Strong experience with distributed systems and data infrastructure - Familiarity with streaming systems, databases, and large-scale data pipelines - Deep understanding of performance tradeoffs (latency, throughput, cost) - Ability to design systems from scratch, not just maintain them - Comfort working close to the metal when needed - Bonus: experience with observability platforms, logging systems, or time-series data OUR TECH Our stack is TypeScript end-to-end. We use PostgreSQL for relational data, Temporal for durable execution,

Applied AI Researcher - World Reconstruction and Generation 4 Locations posted: Posted 7 Days Ago

Field Product Manager | Observability USA Location: Remote - USA Core skills: Field Product Management, Observability, Go-To-Market, Technical Pre-Sales, AI-Driven Workflows, Thought Leadership Bitmovin is a global Series-C SaaS scale-up that provides award-winning video streaming technology to world-renowned brands including Disney+, Discovery+, BBC, Red Bull Media House, Hulu, fuboTV, and The New York Times , to name just a few. Our solution suite consists of a Video Encoder, Player, and Analytics platform, enabling content owners to redefine the viewer experience through API-based workflow optimization, fast turnaround, and scalability. Innovations include the first commercial HTML5 MPEG-DASH. “We are constantly seeking out forward thinking individuals who want to shape the future of video… come and work with us!” Stefan Lederer, CEO At Bitmovin we value cognitive diversity and the huge part this plays in not only creating a global culture second to none, but in how this underpins our ability to create truly representative, Emmy award winning products. Diversity in all its forms is encouraged and celebrated at Bitmovin; everyone has a role to play in helping us shape the future of video. Why us? We are hiring our first Field Product Manager for Observability in the Americas. You sit at the intersection of Product and GTM. You will be the technical face of Observability in front of prospects, the voice of the US market back to the product team in Europe, and the person who turns early traction into a repeatable motion. You will report to the Director of Product and

Senior Observability Architect | USA CST| Remote United States (Remote) Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: At Grafana Labs, we're redefining what post-sales technical partnership looks like-and it starts with the Observability Architect . This is

Senior AI Automation Engineer 2 Locations posted: Posted 7 Days Ago

Senior Observability Architect | West Coast | PST | Remote United States (Remote) Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: At Grafana Labs, we're redefining what post-sales technical partnership looks like-and it starts with the Observability Architect

Principal AI Scientist Remote - Germany posted: Posted 24 Days Ago

Software Engineer- London London, England, United Kingdom About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. About the role Flow is seeking software engineers to build AI-powered capabilities that help teams author, review, and manage requirements more effectively. You will work on agentic systems engineer and agentic domain engineer workflows-bringing AI into the center of how teams reason about their systems.​ This role sits at the intersection of AI, product, and full-stack engineering: you will take ideas from prototype all the way to stable, observable features in production.​ What you'll do - Design and ship AI-powered features such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers. - Build agentic workflows that help “agentic systems engineers” and “agentic domain engineers” explore designs, simulate changes, and validate requirements.​ - Evaluate and integrate language models and related tooling, optimizing for reliability, latency, cost, and debuggability in production. - Build and maintain the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model management, observability, and safety/guardrails. - Work across the stack-from backend integrations and APIs to simple UI hooks-to deliver complete AI features, not just model endpoints. - Partner with product and customers to identify high-value workflows, run experiments, and iterate quickly based on usage. About you - 3+ years developing production software, including designing, testing, and operating services at scale in a

Computer Vision AI/ML Engineer Huntsville, AL posted: Posted 30+ Days Ago

Staff Software Engineer, Full Stack – San Francisco San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. About the role Flow is seeking staff software engineers to build AI-powered capabilities that help teams author, review, and manage requirements more effectively. You will work on agentic systems engineer and agentic domain engineer workflows-bringing AI into the center of how teams reason about their systems.​ This role sits at the intersection of AI, product, and full-stack engineering: you will take ideas from prototype all the way to stable, observable features in production.​ What you'll do - Design and ship AI-powered features such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers. - Build agentic workflows that help “agentic systems engineers” and “agentic domain engineers” explore designs, simulate changes, and validate requirements.​ - Evaluate and integrate language models and related tooling, optimizing for reliability, latency, cost, and debuggability in production. - Build and maintain the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model management, observability, and safety/guardrails. - Work across the stack-from backend integrations and APIs to simple UI hooks-to deliver complete AI features, not just model endpoints. - Partner with product and customers to identify high-value workflows, run experiments, and iterate quickly based on usage. About you - 8+ years developing production software, including designing, testing,

AI Scientist WA07-01-Bellevue-1100-112th Avenue NE posted: Posted 2 Days Ago

AI Agent Engineer - US Remote United States | Remote BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The AI Engineering Team is chartered with enabling next-generation AI applications, with a special focus on Large Language Models (LLMs) and agentic systems. Our mission is to build robust pipelines, high-performance infrastructure, and operational tooling that allow AI systems to be deployed with speed, safety, and scale. We manage petabyte-scale pipelines, serve models with millisecond-level latency, and provide the observability and governance needed to make AI production-ready. We're also deeply involved in evaluating and integrating cutting-edge tools in the LLM and agent space - including open-source stacks, vector databases, evaluation frameworks, and orchestration tools that unlock TRM's ability to innovate faster than the market. The impact you will have: - Architect and implement a robust agentic framework that supports tool use, context retrieval, memory, and planning - Build intelligent, modular agents that automate investigative tasks and augment analyst decision-making - Extend and scale our LLM infrastructure (e.g. OpenAI, Anthropic, local models), including prompt engineering, RAG, and evaluation loops - Design safe, observable, and auditable agent behaviors - ensuring reliability in high-sensitivity environments - Evaluate performance across metrics like reasoning, latency, success rate, and hallucination, and iterate

Senior Agentic AI Engineer 8 Locations posted: Posted 30+ Days Ago

Senior Software Engineer, Full Stack – San Francisco San Francisco, California, United States About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor. About the role Flow is seeking full stack senior software engineers to build AI-powered capabilities that help teams author, review, and manage requirements more effectively. You will work on agentic systems engineer and agentic domain engineer workflows-bringing AI into the center of how teams reason about their systems.​ This role sits at the intersection of AI, product, and full-stack engineering: you will take ideas from prototype all the way to stable, observable features in production.​ What you'll do - Design and ship AI-powered features such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers. - Build agentic workflows that help “agentic systems engineers” and “agentic domain engineers” explore designs, simulate changes, and validate requirements.​ - Evaluate and integrate language models and related tooling, optimizing for reliability, latency, cost, and debuggability in production. - Build and maintain the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model management, observability, and safety/guardrails. - Work across the stack-from backend integrations and APIs to simple UI hooks-to deliver complete AI features, not just model endpoints. - Partner with product and customers to identify high-value workflows, run experiments, and iterate quickly based on usage. About you - 5+ years developing production software, including

Lead AI Engineer Dublin - Charlotte posted: Posted 10 Days Ago