Observe.ai jobs

Principal AI Scientist Remote - Germany posted: Posted Yesterday

Account Executive Public Sector Belgium Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role Elastic, the Search Analytics company, is seeking a dynamic Public Sector Account Executive. To excel as an Account Executive at Elastic , you need a blend of high-level technical curiosity and the gravitas of a value-based seller. Because Elastic isn't just a "product" but a versatile search, observability, and security platform, the role requires moving beyond simple transactions to solving complex data problems. As a Public Sector Enterprise Account Executive, you will be an integral part of our growth strategy. You will drive net-new revenue and expansion within Public Sector Accounts in Belgium. This is an opportunity for those passionate about empowering companies through cutting-edge search technology and analytics, enabling them to unlock the full potential of their data. What You Will Be Doing - Drive Adoption: Fuel the adoption of Elastic's AI-powered search solutions, Observability and Security solutions within (new) Public

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

Senior Software Engineer — Observability Austin, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Apple Pay and Wallet are at the heart of how millions of people around the world make payments, store credentials, and interact with commerce every day. Behind every tap, every transaction, and every boarding pass is a set of systems that must be fast, reliable, and secure at massive scale. We are looking for a Senior Software Engineer to join the Wallet, Payments, and Commerce (WPC) team and help define how we build, observe, and operate these critical systems. In this role, you will design and develop the observability platforms, reliability tooling, and AI-powered automation that empower WPC engineering teams to ship with confidence, resolve issues in real time, and deliver seamless experiences to hundreds of millions of users. Apple Pay processes billions of transactions across millions of merchants worldwide. The systems behind Apple Pay, Apple Wallet, Apple Cash, Tap to Pay, and our commerce platforms must meet the highest standards for availability, latency, security, and correctness - with zero tolerance for downtime or data loss. This is a software engineering role within one of Apple's most critical and high-scale service organizations. You will bring strong design and architecture skills to solve complex problems at the intersection of payments infrastructure, observability, DevOps tooling, and AI - and you will ship production-quality software that WPC teams depend on

Senior DevOps / Platform Engineer, Voice AI Poland, hybrid About Shelf Shelf builds software that helps enterprises make AI work in the real world. For our Voice AI product, that means reliable runtime systems, strong deployment paths, and production infrastructure that lets engineering teams move fast without creating operational chaos. About the role This role is for a senior DevOps / platform engineer who can independently own how our Voice AI product ships and runs. You will work directly with the team building our Voice AI product rather than as part of a generic centralized Platform function. The job is to make deployment, reliability, observability, and operational quality materially better. That includes infrastructure, CI/CD, environments, incident follow-through, and the practical realities of running AI-heavy systems in production. Real hands-on experience deploying voice-related systems such as STT, TTS, or STS workloads is a strong plus because it is highly relevant to the direction of the work. Location - Warsaw, work from the office. What You Will Own Improve how Voice AI services are deployed, run, observed, and supported in production. Build and maintain infrastructure as code, CI/CD flows, environment setup, and paved paths that reduce developer friction. Strengthen observability with better logs, metrics, traces, dashboards, and alerts. Improve reliability through better operational standards, incident handling, post-incident follow-through, and practical SLO thinking. Work across application and infrastructure boundaries when that is what the problem requires. Reduce recurring toil through automation, documentation, and better defaults. Make sound trade-offs around cost, security, performance, and

Agentic AI Architect 2 Locations posted: Posted 30+ Days Ago

Senior Engineering Manager, AI Seattle, Washington, United States of America Join our team as a Senior Engineering Manager, AI, and lead the development of advanced AI-powered solutions at Splunk. Drive innovation in code generation, large language models, and production AI platforms. Collaborate with cross-functional teams to deliver scalable, reliable AI experiences and shape the future of digital security and observability.

Senior Backend Software Engineer, AI Observability & Evals Platform (LangSmith) San Francisco, CA, United States, Boston, MA, New York, NY 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 Team The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this

Senior AI Research Scientist Remote - Germany posted: Posted Yesterday

AI Research Scientist, Audio-Visual Understanding, FAIR Menlo Park, CA; New York, NY; San Francisco, CA Meta is seeking a Research Scientist to join Fundamental AI Research (FAIR), a research organization focused on making significant advances in AI. Our organization is driven by advancing the science of intelligence and developing technology toward achieving superintelligence. We are seeking researchers with experience in computer vision, speech and multimodal learning to join our team and help build the perceptual foundations for real-time embodied conversational agents. This role offers the opportunity to collaborate with a highly interdisciplinary team of scientists, engineers, and cross-functional partners, with access to cutting-edge technology, resources, and research facilities. Responsibilities: - Develop joint audio-visual understanding systems that integrate visual and auditory signals for advanced perception - Build and evaluate audiovisual language models for social interactions and understanding, including predicting social intent, semantic function, and reasoning from human-centric inputs - Contribute to benchmarks and evaluation frameworks for visual social understanding and interactions - Train and optimize state-of-the-art machine learning and neural network methodologies - Conduct and collaborate on research projects within a globally-based team Minimum qualifications: - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - A PhD in AI, computer science, data science, or related technical fields - Experience holding an industry, postdoctoral, faculty, or government researcher position - Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics, or related areas - Research publications reflecting experience in theoretical or empirical research -

Senior Software Engineer, Observability Poland Redpanda is pioneering the Agentic Data Plane (ADP) - a new category in AI infrastructure that makes it simple and secure to connect AI agents with enterprise data and systems. Built on a multi-modal data streaming engine, Redpanda empowers agentic applications that reason and act in real-time with speed, autonomy, and precision. Global leaders including Activision Blizzard, Cisco, Moody's, Texas Instruments, Vodafone and 2 of the top 5 banks in the U.S. rely on Redpanda to process hundreds of terabytes of data a day. Backed by premier venture investors Lightspeed, GV and Haystack VC, Redpanda is a diverse, people-first organization with teams distributed around the globe. About the Role: We are looking for a Senior Software Engineer to join our Observability team and help build the platform that gives Redpanda's engineering organization deep visibility into the health, performance, and behavior of our systems. You will own and evolve our Grafana-based observability stack-spanning metrics, logs, and traces-and ensure that every team at Redpanda has the tooling and insights they need to ship reliable, high-performance software. This is a high-impact role at the intersection of infrastructure and developer experience. You will work closely with platform and product engineering teams to design scalable observability solutions, drive adoption of best practices, and reduce mean time to detection and resolution across our cloud and on-premise deployments. You Will: - Design, build, and maintain Redpanda's observability platform using the Grafana stack (Grafana, Mimir, Loki, Tempo, Alloy/Agent) - Develop and optimize dashboards,

AI Research Engineer - Datadog AI Research (DAIR) New York, New York, USA As a Research Engineer on our team, you will partner with Research Scientists to turn research ideas into working systems, building the data, tooling, and infrastructure that enable rapid iteration, trustworthy evaluation, and a smooth path from prototype to production. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , and our time series foundation model ), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: Build and operate multimodal data pipelines, training and evaluation infrastructure, benchmarks, and internal tooling Implement models, run experiments at scale, and profile for reliability, performance, and cost Build simulation environments and replay infrastructure for agent training and evaluation Orchestrate distributed training and

AI Data Labeler Remote About Mashgin Mashgin powers the world's best checkout experience for over 40 million users. Customers just place their items on our kiosks and our AI rings up their entire order in less than a second. With Mashgin, lines are now optional. Mashgin's technology powers over 1 billion transactions at your favorite locations, including over half of all US professional sports teams, 4,000 convenience stores, major airports, universities, and more. We're not just building cutting-edge AI-we're creating real-world impact and unforgettable experiences. Backed by a well-funded Series B, we're also one of the rare AI startups that's already profitable. Our secret? A culture of extreme ownership, autonomy, and customer obsession. At Mashgin, we are building something extraordinary by challenging conventional wisdom. We've thrown out the old rules to focus on what truly matters: creating a kickass product that makes people say, 'Wow'. We don't care about short-term wins; we build systems that stand the test of time. If you thrive in a culture of excellence without compromise and want to see your work have an immediate, remarkable impact, you're in the right place. Position Summary We are hiring an AI Data Labeler / Computer Vision Annotator to serve as the ground truth backbone of our computer vision pipeline. In this role, you will annotate the images and video our hardware captures, audit model predictions against reality, and surface patterns that tell us when our cameras, lighting, or models are not performing as expected. Your work directly determines

Senior AI Engineer - Bits AI Security Analyst Paris, France At Datadog, we're on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI agent that leverages LLMs to help analysts investigate alerts, understand threats, and respond faster. We're looking for a product-minded AI Engineer to help us build the next generation of AI-driven security capabilities. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Work closely with users, security experts, PMs, and data scientists on cutting edge AI agents that drive real value for our customers Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths Collaborate with Product, Design, and partner teams to build cohesive experiences Prototype and see what works well, iterate closely with our users and experts, and then ship Follow the latest research on GenAI and AI agents Who You Are: You have a BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field or equivalent experience You're a backend engineer with at least 4 years of professional experience (Go, Python, Java, etc.) who values code simplicity and performance You have relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields. You've shipped software that uses LLMs to production You want

Senior Fullstack 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 Us: About the role In person 5 days/week in San Francisco We're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have

AI Engineer San Diego, CA posted: Posted 17 Days Ago

Cloud Infrastructure Engineer 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 Cloud Infrastructure Engineer to help us build reliable, scalable infrastructure and give developers a world-class platform to ship code with speed and confidence. You'll lead efforts across Terraform, Kubernetes, CI/CD, observability, and support, and play a key role in how we scale Braintrust both internally and for customers self-hosting our platform. This is a high-impact role where you'll contribute across our internal AWS environment and help customers deploy our stack in AWS, Azure, and GCP. What you'll do - Build and maintain Terraform modules for both internal infrastructure and customer deployments - Work directly with customers in Slack to support self-hosting and troubleshoot infrastructure issues. Build tools to make it easier for them to support themselves. - Own and improve our CI/CD pipeline: reduce build times, improve failure visibility, and enable safer, faster releases - Centralize and scale observability - including logs, metrics, dashboards, and alerts - Partner with engineering teams to build and evolve a secure, developer-friendly infrastructure platform - Support multi-cloud deployment patterns (AWS primarily, with Azure

Product Designer - Observability Paris About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse

AI Research Scientist/Engineer Geneva Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world's leading AI code review and verification platform. SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE: Committed to our customers and community. Obsessed with quality. Deliberate in our decisions. Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you're hungry to have an impact, want to build at a fast pace, and ready to work at

Senior Product Designer, Observe by Snowflake US-CA-Menlo Park, Menlo Park, California, United States At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake

Lead - Design Bangalore Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google's most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world's leading smartphone makers, connected TV manufacturers, telecom providers, and global brands - meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI's rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. Lead - Design Role Overview You'll shape the

Senior Software Engineer - AI Inference 4 Locations posted: Posted 30+ Days Ago

Senior 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 -

Senior AI – Computer Vision Engineer Houston, Texas posted: Posted 23 Days Ago