Observe.ai jobs

Staff AI-Native Platform Engineer US Remote Staff AI-Native Platform Engineer (L5) Location: US - Remote Experience: 8+ years in Cloud/Platform Engineering or Infrastructure, with a proven track record of leading cross-functional initiatives and influencing organizational AI strategy. About the Role We are looking for a visionary Staff AI-Native Platform Engineer to lead the evolution of our technical foundation. In this high-impact role, you will move beyond traditional automation to architect an AI-native ecosystem that integrates Generative AI into every layer of our Development Platform. As a technical leader within the Platform organization, you won't just be maintaining infrastructure, you will be reimagining the developer experience (DevEx) . You will be the primary advocate for GenAI, fostering a culture of “AI-first” engineering by building agentic workflows that accelerate Cloud Orchestration, CI/CD, Observability, and FinOps. We need a creative engineer who can bridge the gap between cutting-edge LLM capabilities and robust, production-grade platform tooling. What You'll Do Architect AI-Integrated Infrastructure - AI-First Development Platform: Design and build unified interfaces where AI agents manage complex tasks like environment provisioning, automated PR reviews, and self-documenting codebases. - Intelligent Orchestration: Embed AI-driven intelligence into CI/CD pipelines and Observability stacks to enable predictive scaling, automated incident triage, and self-healing systems. - Autonomous FinOps: Evolve AI-assisted FinOps workflows to automate cost attribution, anomaly detection, and optimization recommendations across AWS and other cloud environments. - Governance & Guardrails: Implement AI-driven governance to ensure architectural standards and security policies are met without slowing down developer velocity. Elevate Developer Experience

AI Engineer - Platform & Assistant San Francisco | [OnSite]

Senior AI Engineer (Agentic AI) WARSAW DOWNTOWN OFFICE posted: Posted 14 Days Ago

Senior Platform Engineer, Ingestion Sweden 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 team owns LangSmith end-to-end. If you want to define what great AI observability looks like

Strategic AI Analyst San Francisco | OnSite WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. Software is how the modern world runs-but there's not enough of it, and too much of what exists isn't good enough. Banks and governments still run COBOL from the 1970s. Budgets go to technical debt and maintenance instead of the features customers actually want. The bottleneck has always been the same: engineering talent is scarce and expensive, and budgets only stretch so far. AI agents make it possible to build more software, faster, at higher quality-and Cognition is at the center of that shift. We built Devin, the first AI software engineer, and we're working with some of the world's largest enterprises to fundamentally expand what their engineering organizations can deliver. We went from $1M to mid-nine-figures in revenue in a year, and are backed by some of the world's top investors, including Founders Fund, General Catalyst, Lux Capital, and 8VC. THE ROLE You'll lead our AI analysis work for global CIOs. Your job is to research the AI landscape - models, products, economic and geopolitical trends - and turn that into crisp, evidence-backed content that helps business leaders understand what's changing and what to do about it. You'll be the person behind the arguments our execs deliver at C-level gatherings and meetings. You should have exceptional analytical ability and be a strong writer. You will synthesize technical, business, and political complexity into narratives that convince execs to act. You might be the

Staff Software Engineer, AI – 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 AI-focused 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 - 3+ years of experience in applied ML, LLMs,

Lead Engineer - AI Trust & Governance California - San Francisco; Washington - Seattle; Illinois - Chicago; California - Palo Alto; New York - New York; Washington - Bellevue We are seeking a highly skilled, hands-on, and deeply technical Software Development Engineers to help build our AI Governance platform from the ground up. This is a critical senior role responsible for designing and developing both the front-end and back-end foundations of a platform that enables safe, trusted, and scalable AI deployment across the enterprise. This role will directly support our number one value: Trust You will help architect and deliver a platform that spans governance, intake workflows, lifecycle management, monitoring, observability, risk controls, and operational tooling for AI systems and agents. We are looking for a builder who is comfortable wearing multiple hats across software engineering, cloud infrastructure, platform engineering, developer tooling, and user experience. You should be energized by ambiguity, excited to build systems from scratch, and motivated by solving difficult problems at the intersection of AI, governance, trust, observability, and enterprise scale. What You'll Do Key Responsibilities: Full Stack Platform Development: Lead the end-to-end design, development, and scaling of the AI governance platform, building both the front-end and back-end components that support enterprise wide AI governance AI-Assisted Engineering: Use AI development tools such as Claude and other coding assistants as part of the software development lifecycle to accelerate delivery, improve code quality, prototype faster, and enhance engineering productivity AWS Cloud Infrastructure Development: Design and build secure, scalable, and

Machine Learning Engineer - Perception Foster City, CA The Perception team at Zoox is at the forefront of leveraging GenAI to create synthetic data, unlocking scalable training and evaluation for our autonomous system's perception and entire stack. As a Generative AI Engineer, you will develop and train cutting-edge models for sensor-level scenario generation, utilizing world models and radiance fields techniques with large-scale proprietary data. This role directly impacts the productivity, safety, and capabilities of Zoox's autonomous system by validating algorithms in real-world conditions. The Perception team at Zoox is at the forefront of leveraging GenAI to create synthetic data, unlocking scalable training and evaluation for our autonomous system's perception and entire stack. As a Generative AI Engineer, you will develop and train cutting-edge models for sensor-level scenario generation, utilizing world models and radiance fields techniques with large-scale proprietary data. This role directly impacts the productivity, safety, and capabilities of Zoox's autonomous system by validating algorithms in real-world conditions. In this role, you will: - Design, develop, train and evaluate multi-sensor fusion based deep learning models to understand obstacles and environmental context - Understand and curate real and synthetic datasets to improve our models - Perform latency optimization and deploy models to our robot fleet - Build a deep understanding of Perception gaps and behavioral issues around difficult obstacle types in order to help plan and prioritize our work - Collaborate with Prediction/Planner team to deploy fully autonomous vehicles in environments with difficult and rare obstacles, extreme weather conditions, and complex

Agentic AI Evaluation Engineer DC - Washington, 1325 G ST NW STE 300 posted: Posted 23 Days Ago

Senior Software Engineer, AI – 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 AI-focused 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 - 3+ years of experience in applied ML, LLMs,

Senior Site Reliability Engineer, Observability Argentina Remote At Webflow, we're building the world's leading AI-native Digital Experience Platform, and we're doing it as a remote-first company built on trust, transparency, and a whole lot of creativity. This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers. We believe the future of the web, and work, is more open, more creative, and more equitable. And we're here to build it together. We're looking for a Observability , Site Reliability Engineer to improve reliability and stability of Webflow's customer-facing, production infrastructure, serving millions of page views per hour. Our product is used by over 2 million users world-wide across 190 countries, and you'll help ensure our platform is secure and scalable for these users as tens of thousands of projects are launched on Webflow each month. About the role: - Location: Remote-first (Argentina) - Full-time/Permanent - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for a new position - Reporting to the Engineering Manager of Observability Requirements: - BS / BA college degree or relevant experience - Business-level fluency to read, write and speak in English You'll thrive as an Observability, Site Reliability Engineer if you: - Join our newly

AI Engineer 2 Locations posted: Posted 30+ Days Ago

Senior AI Researcher 3 Locations posted: Posted 4 Days Ago

Product Marketing - Observability San Francisco, CA, United States 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: We're looking for a senior PMM to own go-to-market for two of our core products: LangSmith Observability and Evaluation. LangSmith Observability gives engineering teams full visibility into agent behavior (tracing, production monitoring, automated insights). LangSmith Evaluation gives them the confidence

Senior Generative AI Engineer - Vice President CHENNAI, Tamil Nādu, India

Member of Technical Staff - Observability Palo Alto, CA ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The Observability team builds and operates the core infrastructure that enables engineers to monitor, debug, and optimize the performance and reliability of their systems. We handle telemetry at massive scale - billions of time series and petabytes of logs - with strict performance and availability requirements. You will be part of the small, high-impact team responsible for building and maintaining X's observability platform. You'll own critical systems that power metrics, logs, tracing, and alerting enabling engineering teams to operate services at scale, identify issues before they impact users, and drive systemic reliability improvements. RESPONSIBILITIES: - Design and implement scalable observability infrastructure for metrics, logging, and tracing. - Build high-performance telemetry pipelines that handle massive ingestion volumes. - Develop APIs, query engines, and UIs that allow engineers to

Observability Architect | EST | 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 a

AI Training - Machine Learning Specialist (EST) Remote *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="7d8c6042-ac58-4acb-b90b-d08242002c4b" data-testid="conversation-turn-6" data-scroll-anchor="true" data-turn="assistant"> *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="788a8b78-cfcd-42e1-beb1-30da5949a95d" data-testid="conversation-turn-8" data-scroll-anchor="true" data-turn="assistant"> AI Trainer - Machine Learning Specialists About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI Trainer - Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed . You must be prepared to complete paid tasks that require one hour of uninterrupted work , though many are shorter. What you'll bring AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and

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

Software Engineer, Agents 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 iterate on the core AI agents that power Sazabi - Design systems for anomaly detection, root cause analysis, and automated debugging - Work on prompt engineering, tool use, and agent orchestration - Improve reliability, latency, and correctness of AI-driven workflows - Experiment rapidly with new models, frameworks, and techniques - Translate messy real-world production issues into structured AI workflows WHAT WE'RE LOOKING FOR - Strong experience working with LLMs in production (agents, RAG, tool use, etc.) - Deep curiosity about how and why AI systems fail-and how to fix them - Ability to prototype quickly and iterate based on real-world feedback - Strong engineering fundamentals (this is not just prompt hacking) - Comfort operating in a fast-moving, experimental environment - Bonus: experience with observability, debugging systems, or developer tools OUR TECH Our stack is

Senior AI Engineer - GenAI 3 Locations posted: Posted 4 Days Ago

Director, AI Platforms CA - San Francisco; WA - Seattle Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role: As Director, AI Platforms, you will build and lead the team responsible for multiple AI-enabling platform services, automation, and SDLC-enabling agents for SoFi and our affiliates. This shared foundation enables teams across the company to build, deploy, and operate AI capabilities through self-service workflows, standard tooling, and clear operational contracts. You will partner closely with Engineering, Security, Risk, Legal, Compliance, and Data to ensure AI development and runtime practices meet regulatory and governance requirements by default. You will also align the AI platform roadmap with our broader internal developer platform strategy, including infrastructure automation, CI/CD, observability, and reliability standards. You're a builder first: someone who has shipped production platforms that engineering teams actually chose to adopt, who can operate with influence across organizational boundaries, and who thrives when the roadmap

Senior AI Security Engineer BUDAPEST, Hungary

Enterprise Account Executive - Pursuit, East Ohio, United States 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 is searching for an Enterprise Account Executive to expand our Enterprise Pursuit customer accounts. Our Enterprise Account Executives are individual contributors, focused on building new business and growing the Elastic footprint and ensuring our customers are successfully leveraging Elastic cloud solutions across their organization. Are you ready to help users tackle their hardest problems through the power of search? If so, we'd love to hear from you! What You Will Be Doing: - Breaking in, building relationships and awareness, to create the demand and new business revenue for Elastic solutions within new Enterprise accounts. - Uncovering new and diverse use cases for Search, Security, and Observability to solve key business initiatives in their organizations. - Working thoughtfully with customers to identify new business opportunities, managing through the sales cycle and closing complex transactions. - Building a robust