Observe.ai jobs

AI Engineer CZE - Central Bohemian - Prague (Five) posted: Posted 4 Days Ago

Senior Machine Learning Platform Engineer Pune, IN About the Role At PubMatic, data operates at unmatched scale. As a Senior Machine Learning Platform Engineer , you will design and scale the infrastructure and frameworks that enable machine learning development, experimentation, and production across a global ecosystem handling trillions of ad impressions. You will collaborate closely with ML Engineers, Data Scientists, and Product stakeholders to accelerate experimentation, maximize efficiency, and translate AI solutions from concept to production. This role offers direct exposure to petabyte-scale datasets , industry-standard ML efficiency tools (e.g., Triton inference, GPU/accelerated computing), and the opportunity to evaluate and adopt emerging AI/ML technologies. You will contribute to the next-generation ML platform for adtech , enabling advanced use cases such as troubleshooting issues in bid stream, competitive intelligence, benchmarking, forecasting, reinforcement learning, and retrieval-augmented generation (RAG) , while also establishing foundational capabilities like embeddings and observability frameworks . What You'll Do Platform Development: Design and maintain scalable ML pipelines and platforms for ingestion, feature engineering, training, evaluation, inference, and deployment. Big Data & Analytics: Build and optimize large-scale data workflows using distributed systems (Spark, Hadoop, Kafka, Snowflake) to support analytics and model training. Experimentation & Observability: Develop frameworks for experiment tracking, automated reporting, and observability to monitor model health, drift, and anomalies. Work with industry-standard ML efficiency tools to optimize training workloads, accelerate experiments, and monitor performance at scale . AI/ML Enablement: Provide reusable components, SDKs, and APIs that empower teams to leverage AI insights and ML models effectively. Automation:

Senior Quality Engineer - Apple Maps Performance Cupertino, United States of America Ignite your passion for quality and innovation! We're seeking a visionary Tools and Automation Quality Engineer to architect the future of excellence for Apple Maps. You will dive deep into our complex, multi-platform ecosystem (iOS, macOS, watchOS, visionOS and CarPlay), building cutting-edge automation frameworks, pioneering AI-driven quality practices, and establishing robust observability to proactively safeguard the experience for millions of users worldwide. This is your opportunity to be the hands-on force that defines, builds, and scales the systems preventing regressions, driving unparalleled reliability and performance for the world's most intuitive navigation! As a collaborative and innovative engineer on our team, you will architect, implement, and drive a comprehensive, automated quality engineering strategy across the Apple Maps app performance umbrella, spanning its foundational components to its entire user experience. This includes designing, building, and scaling robust automation frameworks and systems, alongside leveraging robust performance metrics, establishing observability standards, and advanced QE practices to ensure the continuous delivery of high-quality, reliable, and performant products across its multiple platforms, including iOS and macOS. Implement and monitor performance metrics, health indicators, and engineering scorecards. Integrate automated testing into CI/CD pipelines; establish quality gates. Architect and evolve scalable test automation platforms. Drive advanced QE practices: AI-assisted test generation, log analysis, and anomaly detection. Establish end-to-end observability perfomance standards (metrics, tracing, logging, validation). Lead automated test design and implementation. Develop comprehensive performance test strategies and plans. Evaluate and integrate new testing tools and technologies.

Agentic AI & Data Scientist Valbonne (KFR51693) posted: Posted 30+ Days Ago

Agentic AI Engineer CARY posted: Posted 9 Days Ago

Head of Observability Remote ABOUT THE ROLE We're looking for a Head of Observability to join our Observability team and define the future of how Supabase is monitored, debugged, and understood. The group is responsible for supporting our engineers internally, and the millions of developers building on our platform. You'll own the observability strategy end-to-end: the internal platform our teams rely on for incident response and reliability, and the customer-facing product that gives developers deep visibility into their Supabase projects. You'll have significant latitude to evaluate our current tooling, make build-vs-buy decisions, and chart the technical direction for the function. This role is ideal for someone who has built or significantly scaled an observability platform at a devtools company, hyperscaler, or high-scale tech company who is excited about doing it again with a wide mandate and decision-making authority. WHAT YOU'LL BE RESPONSIBLE FOR Strategy & Architecture - Define and execute the observability strategy for Supabase, covering logging, metrics, tracing, alerting, and profiling - Evaluate and evolve the observability stack: define the right long-term architecture - Drive convergence toward a single-pane-of-glass experience internally, creating a cohesive and modern platform - Establish SLOs, SLIs, error budgets, and capacity planning practices that make observability a first-class input to reliability programs Product & Customer Experience - Own the customer-facing observability experience including dashboards, logs explorer, metrics, alerts - and work with Product to make it best-in-class for developers - Champion a dogfooding culture where our internal observability platform and our customer-facing product converge, creating

Observability Architect Pontiac, MI, US We are in search of an Observability Architect to strengthen our Enterprise Technology team and contribute to building our Center of Excellence in Monitoring and Observability domains. As the Observability Architect in ET, you will play a pivotal role in establishing furthering the growth of both the Operational Center of Excellence as well as UWM IT, offering guidance for the evolution and optimization of our Monitoring and Observability toolset, and engaging in technical discussions and requirements analysis with partners and teammates to ensure alignment with the immediate and long term needs of our strategic partners. Partnering with Application Development and Architecture, you will be leading the charge on the standardization and implementation of our continued need for deeper and more comprehensive Observability data. WHAT YOU WILL BE DOING Provide guidance and insights for improving the Monitoring and Observability platforms. Lead technical discussions and requirements analysis with the Business Partnership Teams and development teams to ensure their needs are met. Develop and evangelize best practices for making systems and services measurable, collaborating with various teams for implementation and enablement. Determine best practices for collecting, aggregating, and visualizing collected metrics to enable the Product and Development Teams integrators with actionable insights. Participate in proof-of-concept exercises, engineering initiatives, and implementation pro

Agentic AI Test Engineer NJ - Mount Laurel, 1800 Bishops Gate posted: Posted 30 Days Ago

Big Data Platform & Distributed Systems (Mid/Senior/Lead/Principal) Washington - Bellevue About the Teams: By applying to this role, you will be considered for two mission-critical teams at the heart of our data strategy. Both teams operate at extreme scale, leveraging Public Cloud (AWS/GCP) and Kubernetes to power the next generation of data-driven intelligence. Pillar 1: Data Engineering & Observability Build and own large-scale data pipelines and observability systems that power metrics, logging, and real-time insights across services. This role focuses on designing reliable telemetry pipelines, improving monitoring and alerting, and ensuring data quality and system visibility at scale. Ideal candidates have strong distributed systems fundamentals, backend development experience (Java or similar), and experience operating high-throughput data or monitoring platforms in cloud or hybrid environments. Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Pillar 2: Data Cloud. Big Data Compute platform team. Owns the compute infrastructure that powers large-scale Spark workloads. The team focuses on optimizing core Spark performance, solving distributed systems challenges, and building scalable AI infrastructure, including exploring efficient ways to run smaller language models. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably. Critically evaluate

Senior AI Machine Learning Engineer 4 Locations posted: Posted 24 Days Ago

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 based

AI Research Engineer - Post-Training London 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

AI Software Engineer Bucharest posted: Posted 30+ Days Ago

Software Data Engineer, Data Platform Haifa Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world's manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together. You are a Software Data Engineer with deep experience building data-intensive systems, not a traditional ETL or BI-focused Data Engineer. In this role, you will design and build production-grade data services, platforms, and pipelines that power DIH and our AI-driven products. You will combine strong software engineering fundamentals with modern data engineering practices, with a focus on clean architecture, reliability, scalability, observability, and testing. As a Software Data Engineer, Data Platform, you will: Build and evolve Python-based services and pipelines that ingest raw industrial events, store them reliably, and expose clean, well-modeled tables and APIs for downstream consumers, including Digital Twin, Smart Canvas, AI agents, and analytics. Design systems that handle duplicates, invalid data, late-arriving events, and reprocessing in a principled, incremental, and reproducible manner. Collaborate with platform, machine learning, and product teams across Israel and globally to transform complex data challenges into robust, observable, and scalable software solutions. A

DevOps / Platform Engineer Wrocław Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT's collaborative mindset, which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. As a DevOps / Platform Engineer, you will build and operate the infrastructure that powers QRT's internal AI platform. You will be responsible for the Kubernetes and AWS environments supporting model serving, observability, and developer tooling, ensuring they remain reliable, secure, and scalable. Working closely with AI Platform Engineers, Researchers, and Data Scientists, you will own core infrastructure services and help shape how AI capabilities are delivered across the firm. Your future role within QRT: Infrastructure & Cloud - Design and operate infrastructure across AWS and on-premise Kubernetes environments supporting AI and LLM workloads - Manage Kubernetes clusters, including scheduling, multi-tenancy, resource isolation, and GPU-backed workloads - Develop hybrid cloud strategies balancing performance, cost, and data residency requirements - Own AWS infrastructure, including networking, IAM, security, and cost management - Build and maintain infrastructure as code using reusable, version-controlled tooling Platform Operations - Implement and maintain CI/CD and GitOps deployment workflows - Build observability solutions covering system health, utilisation, latency, and platform performance - Automate scaling and capacity management - Enforce authentication, rate limiting,

Staff Site Reliability Engineer, Production Engineering Remote - US: Select locations Role Description As a Site Reliability Engineer focused on company-wide reliability strategy, you will play a crucial role in advancing Dropbox's stability, observability, incident response, and operational excellence as AI technologies reshape how software is built and operated. You will help define the reliability strategy for a new chapter of agentic development and AI-enabled software delivery, including preparing Dropbox for increases in pull request volume, service complexity, incident patterns, and demand for debugging and monitoring tools. You will partner across Engineering, Product, and leadership teams to raise the bar for reliability, guide long-term platform investments, and ensure Dropbox continues to deliver dependable experiences for millions of users. Our Engineering Career Framework is viewable by anyone outside the company and describes what's expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Define and evolve Dropbox's company-wide technical reliability strategy to support the changing engineering environment created by AI-assisted and agentic software development. Set multi-year reliability goals, standards, and roadmaps across observability, debugging, incident management, service health, and operational readiness. Lead cross-team initiatives that reduce reliability risk as software delivery velocity, pull request volume, service complexity, and incident volume increase. Partner with engineering leaders and platform teams to improve monitoring, alerting, debugging, SLOs, SLAs, and incident response systems at company scale. Identify emerging reliability risks introduced by AI-enabled development workflows and design scalable systems, processes, and guardrails

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

Full-Stack Weather Software Engineer Boulder, Colorado, United States About Spire: Spire Global runs the world's largest multi-purpose satellite constellation, streaming real-time weather and Earth-observation data. Our Weather division fuses AI and NWP forecasts - initialized with Spire's proprietary observational data - to build mission-critical products for customers across energy trading, utilities, agriculture, and other industries. As a Full-Stack Weather Software Engineer, you'll work with our weather model output to build and deploy customer products and the frontend systems they're delivered through. The Role: This role sits at the intersection of weather science, geophysical sensing, cloud engineering, and modern AI tooling, building operational products that customers depend on every day. We're looking for engineers who combine strong frontend skills, weather domain knowledge, and effective use of modern AI tooling. Key responsibilities include. Frontend & UX Design and build the customer-facing dashboards and applications that present forecasts, NWP outputs, and AI model outputs through interactive maps, time-series views, comparisons, and alerts. Full Stack & Delivery Own the full vertical slice: React/TypeScript on the frontend, Python services and APIs on the backend, AWS infrastructure underneath. Take work from prototype to production: deploy, monitor, and iterate. Customer Products Build and deploy operational weather products from model output for customers in energy trading, utilities, agriculture, and other industries. Collaborate with scientists, designers, and product managers to bring research and model output into production products. Basic Skills/Qualifications: Engineering Focus 3+ years building production software, with a strong frontend track record and experience deploying and operating production

Applied AI, Evaluation Engineer 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 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 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 The Job The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact. Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. However, the AI graveyard is full of great ideas nobody could measure or prototypes that never made it to production. As a first Evaluation Engineer, you'll design the methodology, build the infrastructure, and define what "ready for production" means across verticals and use cases. You will

Senior Data Scientist - Agentic AI USA - IL (Remote) posted: Posted 30+ Days Ago

Application Security 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 an Application Security Engineer who lives in the code. Braintrust is a real-time, high-availability data platform that runs in both SaaS and self-hosted environments, with open source libraries embedded inside thousands of customer applications and a model proxy in front of OpenAI, Anthropic, Gemini, and other major model providers. This is a hands-on IC role. You'll review code, build threat models, ship paved-road libraries, and lead AI-specific security work: prompt injection, agent sandbox escapes, tool-use abuse, and the new attack surface that comes with LLM-native applications. If you reach for agentic coding tools as your default workflow and can hold your own in a design review with a backend or systems engineer, we'd love to work with you. What you'll do - Drive secure design across the platform: lead threat models for new features, review architecture proposals, and partner with product and backend engineers to ship features that are secure by default - Review code across our TypeScript, Python, and Go services, our open source tracing libraries, and our model

Senior Software Developer - Oracle Health, Backend Focus United States, US Role Summary Oracle Health Platform Engineering builds core platform capabilities that enable Oracle Health teams to deliver secure, scalable, highly available services. We operate with an AI-first engineering culture-engineers are expected to use AI-assisted approaches to accelerate delivery and improve quality across system design, coding, testing, documentation, and operations. We are seeking a Senior Software Developer (IC3) to design, develop, and operate backend services and platform components that improve developer productivity and strengthen platform security and reliability. Key Responsibilities • Design and implement backend services and APIs used by Oracle Health product teams. • Deliver features end-to-end: requirements clarification, technical design, implementation, automated testing, deployment, and operational support. • Participate in code and design reviews; contribute to engineering best practices (testing, CI/CD, observability, security). • Diagnose and resolve production issues; participate in on-call and incident response and drive follow-up actions. • Collaborate with cross-functional stakeholders (SRE/Operations, Security, Product, and other engineering teams). • Produce and maintain documentation, runbooks, and operational playbooks. AI-First Engineering Expectations • Demonstrate practical experience using AI-assisted techniques/tools to improve developer productivity and quality (e.g., faster prototyping, stronger test coverage, safer refactoring, better documentation). • Apply an AI-first mindset to day-to-day work: generating and validating code suggestions, creating/maintaining tests, and improving observability and runbooks-while maintaining strong engineering judgment. • Understand and follow enterprise security and privacy requirements when using AI tooling (e.g., protect sensitive data, use approved tools/workflows). Minimum Qualifications • BS in Computer Science or

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

AI Data Associate with French, Artificial General Intelligence – Data Services Amman, JOR AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team - Analyze root causes, identify error patterns, and propose