Observe.ai jobs

Low Observables Engineer, RCS Costa Mesa, California, United States Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Air Dominance and Strike Low Observable Team are advancing into the next generation of LO Technology to enhance the survivability and effectiveness of unmanned air systems. Our Low Observables engineering team is responsible for designing, analyzing, testing, and sustaining stealth features that reduce radar (RCS) and infrared (IR) signatures , ensuring our systems remain undetectable in contested environments. WHAT YOU'LL DO: - Assist in the design and development of Low Observable (LO) unmanned air vehicles - Perform broadband Radar Cross Section (RCS) analysis of components and full air vehicles - Develop analysis tools, workflows, and validation processes for RCS analysis - Model and optimize LO materials for utilization in components and air vehicles - Aid in the development of manufacturing and validation plans for LO air vehicles - Plan

Cloud Software Engineer - Observability Platform 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! ClickHouse is looking for an experienced engineer to join our Observability team. We build and operate the telemetry platform that powers both internal monitoring and the observability features our customers rely on. Our systems ingest trillions of events per day with sustained throughput in the tens of millions per second. Engineers on the team are hybrid software, systems, and infrastructure engineers who ensure this platform is reliable, scalable, and efficient. We work closely with product and infrastructure teams and play a key role in major engineering initiatives across the company. We're looking for someone who thrives in fast-paced environments, isn't afraid to get hands-on during incidents, and knows when to automate the pain away. While experience in

Senior AI Engineer London (hybrid)

Staff Product Manager, Insights Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: The Insights team at CoreWeave is responsible for helping customers understand what's happening inside their CoreWeave cloud environments clearly, proactively, and at scale. We build intelligent observability experiences that surface high-value signals across performance, reliability, and cost, enabling customers to operate complex GPU-powered systems with confidence. This team sits at the intersection of infrastructure, observability, and UX, partnering closely with Engineering and Design to turn raw telemetry into actionable insight. About the role: As a Staff Product Manager for Insights, you will own the strategy and execution of Insights experiences within CoreWeave's observability portfolio. Your day-to-day work will focus on defining how customers discover, understand, and act on signals across their AI workloads, through dashboards, alerts, and AI-powered insights. You'll lead high-impact problem areas such as cost optimization and workload efficiency, shaping how insights are proactively surfaced rather than manually discovered. This role requires deep technical understanding, strong product judgment, and the ability to operate

AI Engineer

Head of AI 2 Locations posted: Posted 30+ Days Ago

Software Engineer, Product San Francisco, United States, New York City, Seattle About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role We're looking for a product engineer who is passionate about building tools that users love and use every day. You'll work on the core product, hang out with users (developers, product managers, and designers working in AI), and play a key role in shaping the roadmap. Under the hood, Braintrust is a high performance, local-first, visualization-heavy UI built with modern Typescript and React. Our users work at some of the world's best technology companies and expect our product to be lightning fast, reliable, and intuitive. What you'll do Core responsibilities: - Ensuring our customers always have a frictionless experience for enabling AI observability in their systems. - Contribute to foundation UI architecture that focuses on performance and efficient data loading patterns. Build the user-facing pieces of Braintrust, such as: - A first-class prompt playground experience supporting multiple models across thousands of user inputs. - A system for prompt management, configuration, and versioned comparisons. - A fully multiplayer, scalable human review system. - LLM output analysis and comparison across arbitrarily large datasets. Ideal candidate

AI Machine Learning Engineer Houston, Texas posted: Posted 30+ Days Ago

AI Platform Engineer (f/m/d) Berlin, Germany At Enpal, we are not just a company; we are a movement. As a leading European greentech unicorn, we are on a mission to make clean energy simple, accessible, and scalable for homeowners across the continent. Through solar panels, heat pumps, home batteries, and EV charging, we are redefining residential energy. With Enpal Energy, we are building Europe's leading platform to manage and orchestrate millions of distributed energy assets - laying the foundation for the largest Virtual Power Plant (VPP) in Europe. Our vision: power Europe's transition to a fully decentralized, intelligent, and clean energy system. Job Description As a Senior AI Platform Engineer , you will design and build the internal AI Engine that powers all AI capabilities across Enpal Energy. This is not about wrapping APIs - it is about building the core infrastructure that makes AI reliable, scalable, and production-grade. We are looking for a systems thinker with strong engineering fundamentals and a deep understanding of modern AI systems. You care about reliability, observability, and building platforms that enable other engineers to move fast with confidence. What you will do - Own the design and development of the internal AI platform powering all AI features. - Build a robust Agent Runtime to orchestrate complex AI workflows in production. - Design scalable backend services and developer-facing APIs for AI systems. - Build internal tooling for evaluation, observability, tracing, and debugging (latency, cost, quality, reliability). - Define standards for AI quality, including evaluation

AI Developer Evangelist 3 Locations posted: Posted 2 Days Ago

Sr. Applied AI Engineer NAMER | Remote | EMEA AI AT ZAPIER At Zapier https://zapier.com/about, we build and use automation every day to make work more efficient, creative, and human. So if you're using AI tools while applying here - that's great! We just ask that you use them responsibly and transparently. Check out our guidance on How to Collaborate with AI During Zapier's Hiring Process https://zapier.com/l/jobs/ai-at-zapier, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to. Hi there! Are you excited about building the platform that makes AI and machine learning development faster, safer, and more reliable across an entire company? We're thrilled to invite you to join Zapier's AI Platform team as a Sr. Applied AI Engineer! As a key member of this team, you'll help build and evolve the shared infrastructure that powers AI and ML development across Zapier. The AI Platform team owns the common foundations that product and engineering teams rely on when building with machine learning and generative AI - including systems like our LLM proxy server, observability tooling, and ML Ops platform capabilities. This is a highly leveraged role. Rather than building a single end-user feature, you'll create the core systems, tooling, and standards that many teams use as their baseline for shipping intelligent products and internal AI-powered workflows. You'll work at the intersection of platform engineering, applied AI, and developer experience to make it easier for teams across Zapier to build

Sr. UX Designer, AWS Security, Search, Observability & Governance Santa Clara, California, USA AWS Security, Search, Observability, and Governance (SSOG) is hiring a Senior UX Designer to help shape the next generation of AI-native cloud experiences. This role operates within our Experience Builder model, where designers own the full lifecycle of customer outcomes-from problem framing to shipped production experiences. As a Senior UX Designer, you will work on critical build initiatives across the SOGS portfolio spanning observability, search, security, and governance experiences. These products help developers, SREs, and platform teams monitor systems, investigate incidents, manage data and search workflows, and maintain security and compliance across complex distributed environments. You will help define the next generation of agentic and AI-assisted workflows, where systems surface insights automatically, investigation paths are guided, and user intent can trigger coordinated actions across services. Beyond delivering high-impact product work, this role will help elevate design craft and scalable interaction patterns across the portfolio. You will contribute to reusable experience frameworks, agentic UX patterns, and design system components that enable teams to move faster while maintaining a high bar for usability and clarity. The ideal candidate is comfortable operating as a builder-someone who can move fluidly from research insights to prototype to production design while collaborating deeply with engineers and AI systems. This role is part of a broader transformation of the SOGS design organization toward builder pods with end-to-end ownership of outcomes, enabling designers to take ideas from concept to customer impact faster and with fewer

Senior Low Observables Engineer - Mission Systems Costa Mesa, California, United States Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. The Air Dominance and Strike Low Observable Team are advancing into the next generation of LO Technology to enhance the survivability and effectiveness of unmanned air systems. Our Low Observables engineering team is responsible for designing, analyzing, testing, and sustaining stealth features that reduce radar (RCS) and infrared (IR) signatures , ensuring our systems remain undetectable in contested environments. WHAT YOU'LL DO • Assist in the design and development of antennas that go on low observable unmanned air vehicles • Design, simulate, and optimize antennas that meet RF performance while maintaining RADAR cross section requirements • Develop and decompose requirements by performing link-budget analysis to support RF system architecture trades such as required antenna gain, pattern coverage, co-site interference, etc. • Lead IR&D development of antenna designs by rapid design

Senior Software Engineer, AI Inference 2 Locations posted: Posted 24 Days Ago

Senior AI Agent Engineer 2 Locations posted: Posted 30+ Days Ago

Low Observables Engineer, Mission Systems Costa Mesa, California, United States Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. The Air Dominance and Strike Low Observable Team are advancing into the next generation of LO Technology to enhance the survivability and effectiveness of unmanned air systems. Our Low Observables engineering team is responsible for designing, analyzing, testing, and sustaining stealth features that reduce radar (RCS) and infrared (IR) signatures , ensuring our systems remain undetectable in contested environments. WHAT YOU'LL DO • Assist in the design and development of antennas that go on low observable unmanned air vehicles • Design, simulate, and optimize antennas that meet RF performance while maintaining RADAR cross section requirements • Develop and decompose requirements by performing link-budget analysis to support RF system architecture trades such as required antenna gain, pattern coverage, co-site interference, etc. • Lead IR&D development of antenna designs by rapid design and prototyping

Forward Deployed AI Engineer Tokyo posted: Posted 30+ Days Ago

SRE San Francisco, California, United States, New York, Remote ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Site Reliability Engineer at Baseten, you'll define and codify the gold standards of day 2 operations for our ML infrastructure platform. You'll envision and build robust systems, processes, automations, and observability tooling that keep our platform reliable at scale - and that empower the broader organization to operate confidently. You'll work closely with engineering, forward-deployed and product teams: learning from recurring failure patterns, turning tribal knowledge into automated mitigations, and raising the operational floor for the entire company. EXAMPLE INITIATIVES You'll work on projects like these as part of the SRE team: - Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services. - Building AI-assisted tooling for incident triage and response. RESPONSIBILITIES - Own the reliability of Baseten's multi-cloud Kubernetes infrastructure, including incident response, post-mortems, and remediation tracking. - Build and maintain observability infrastructure - metrics, logging, dashboards, and alerting - as code. - Author, validate,

Software Engineer, Backend San Francisco, United States, New York City, Seattle About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role We're looking for a backend engineer who's excited to build the infrastructure behind cutting-edge AI development tools. Under the hood, Braintrust is a real-time, high-availability data platform that operates in both SaaS and self-hosted environments. You'll help scale our ingestion pipelines, evolve our open source libraries, and ensure everything runs reliably, observably, and fast. If you thrive in a fast-paced environment and enjoy solving hard systems problems with a product mindset, we'd love to work with you. What you'll do As a backend engineer at Braintrust, you'll help build the core platform powering LLM-native development: - Design and ship features that give users deep insight into their LLM usage and performance. - Integrate, proxy, cache, and collect data from OpenAI, Anthropic, Gemini, and other major model providers that our customers rely on. - Develop and evolve robust, efficient open source libraries for tracing and evaluating LLM calls inside customer applications. Check out our SDKs - Build highly available real-time data pipelines to ingest, store, and query large volumes of structured and semi-structured AI

Senior Agentic AI Engineer Bulgaria posted: Posted 2 Days Ago

Site Reliability Engineer San Francisco | OnSite THE ROLE We're looking for a world-class Site Reliability Engineer to ensure the reliability, performance, and scalability of our AI infrastructure platform. You'll be building and operating the core systems that power agentic AI at scale. Your mission: keep our ultra-low-latency, stateful, serverless compute engine rock-solid as we serve billions of agent requests for the most sophisticated AI teams in the world. This role is highly technical and execution-heavy. You'll own our reliability posture end-to-end-observability, performance tuning, incident ops, infrastructure health, and the automation systems that keep everything running smoothly. We want you to design new reliability systems, push the boundaries of automation, and continuously evolve the platform to meet the demands of next-generation AI workloads. If you're a builder who thrives on owning critical infrastructure at scale, this role is for you. WHAT YOU'LL DO Collaborating closely with the founders, the infra team, and the dev team-and leveraging AI wherever it creates leverage-you will architect and operate the systems that keep Blaxel fast, resilient, and secure. - Architect, operate, and continuously improve the core infrastructure powering our 25ms cold-start compute engine. - Build and evolve our observability stack (metrics, traces, logs), ensuring we detect issues before users do. - Define, monitor, and drive SLOs/SLIs across key system surfaces to maintain world-class reliability. - Lead incident response with rigor: root cause analysis, post-mortems, and driving systemic fixes. - Design and implement self-healing, automated operational systems to eliminate toil and scale ops. - Work

Senior AI Engineer San Jose (CA) posted:

Senior MLOps Engineer Remote, UK Senior MLOps Engineer The Role As a Senior MLOps Engineer, you will be the backbone of our AI production lifecycle. You will bridge the gap between research and real-world application, ensuring our Data Scientist, AI Researchers, Product teams and others in the company have the high-performance infrastructure, automated pipelines, and deployment strategies needed to ship state-of-the-art models and agents at scale. Who We're Looking For 5+ years experience with cloud infrastructure and infrastructure as code. Previous experience with the ML and LLM lifecycle - training, hosting, optimisation, observability. Used to working closely with researchers and data scientists - taking experiments from worksheets into production. Strong grasp of ML fundamentals and modern GenAI stack. What You'll be Doing Infrastructure & Platform Engineering Infrastructure as Code (IaC): Design and maintain scalable cloud environments (GCP/AWS) using Terraform. Resource Provisioning: Manage GPU/TPU resource allocation for training, fine-tuning, and interactive notebooks. Custom Tooling: Build internal services and CLI tools to streamline the developer experience for the AI team. ML & LLM Orchestration & Observability Automated Pipelines: Design CI/CD and training pipelines using tools such as GitHub Actions, MLFlow, Vertex AI Pipelines. Ensure high quality training data (e.g. introducing a feature store). Deployment Methodology: Develop reusable patterns for model serving. Managing service deployments to Kubernetes. Vector Infrastructure: Manage and optimize vector databases and embedding pipelines for RAG-based systems. Observability and Reliability: Model drift monitoring, resource utilisation, LLM and agent tracing. Performance & Optimization Inference Optimization: Implement techniques to reduce latency and

Principal AIOps Engineer Work at Home, Connecticut, United States Exciting opportunity for a Principal AI Ops Engineer to lead enterprise-scale AIOps strategy, automation, and observability at CVS Health. Drive innovation with agentic AI, ServiceNow, and event intelligence. Join a passionate team to shape the future of healthcare IT operations and make a measurable impact on reliability and efficiency.