Observe.ai jobs

Senior Platform Reliability Engineer Mexico Join our team as a Senior Platform Reliability Engineer and drive the reliability, automation, and observability of AI platforms at Scopely. Leverage your expertise in SRE, DevOps, and cloud to ensure resilient, high-performing systems. Collaborate with talented teams and make a real impact in the global gaming industry. Apply now to shape the future of interactive entertainment!

AI Engineer AI Engineer

Senior Principal AI Agent / ML Engineer (OCI) Seattle, WA, United States, US The Senior Principal AI Agent / ML Software Engineer is a Senior Staff-level, hands-on technical leadership role responsible for defining, building, and operating next-generation AI systems on Oracle Cloud Infrastructure (OCI). This person will set architecture and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications used in large-scale, business-critical environments. This role requires a proven engineer who can translate ambiguous product and platform goals into durable technical strategy, lead multi-team execution without direct authority, and remain deeply hands-on in design, code, reviews, operations, and incident follow-up. The ideal candidate combines deep distributed systems experience with practical AI-native engineering, including orchestration of LLMs, tools, APIs, memory, retrieval, evaluation, guardrails, and cloud services. The expectation is to ship, scale, and operate reliable, secure, observable, and cost-aware AI platform systems while raising the technical bar for engineers across the organization. Responsibilities Serve as a senior technical owner for OCI AI platform capabilities, including agent execution, inference systems, model serving, AI workflow orchestration, evaluation, and observability. Design, architect, and deliver scalable agentic AI systems capable of reasoning, planning, tool use, workflow execution, multi-step task orchestration, and safe human-in-the-loop escalation. Build production-grade services for tool calling, agent memory, context management, Model Context Protocol (MCP) integration, vector retrieval, multi-agent coordination, policy enforcement, and evaluation. Lead architecture across distributed services optimized for low latency, high throughput, GPU efficiency, reliability, cost, operability, and secure multi-tenant operation. Define

Senior Researcher, Diffusion & Vision Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. DataLab is Protege's research arm - a team of research scientists committed to tackling the fundamental challenges and open questions regarding data for AI. We bridge the gap between research theory and data deployment to push the frontier forward, publishing on the questions that matter: what agentic AI should actually be trained to do, how to quality-control large-scale corpora, and how to build evaluation datasets that reflect the real world rather than the leaderboard. We're a lean, fast-moving, high-trust team of builders who deeply care about scientific rigor and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. The Role

Senior Principal AI Agent / ML Software Engineer (OCI) San Francisco, CA, United States, US The Senior Principal AI Agent / ML Software Engineer is a Senior Staff-level, hands-on technical leadership role responsible for defining, building, and operating next-generation AI systems on Oracle Cloud Infrastructure (OCI). This person will set architecture and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications used in large-scale, business-critical environments. This role requires a proven engineer who can translate ambiguous product and platform goals into durable technical strategy, lead multi-team execution without direct authority, and remain deeply hands-on in design, code, reviews, operations, and incident follow-up. The ideal candidate combines deep distributed systems experience with practical AI-native engineering, including orchestration of LLMs, tools, APIs, memory, retrieval, evaluation, guardrails, and cloud services. The expectation is to ship, scale, and operate reliable, secure, observable, and cost-aware AI platform systems while raising the technical bar for engineers across the organization. Responsibilities Serve as a senior technical owner for OCI AI platform capabilities, including agent execution, inference systems, model serving, AI workflow orchestration, evaluation, and observability. Design, architect, and deliver scalable agentic AI systems capable of reasoning, planning, tool use, workflow execution, multi-step task orchestration, and safe human-in-the-loop escalation. Build production-grade services for tool calling, agent memory, context management, Model Context Protocol (MCP) integration, vector retrieval, multi-agent coordination, policy enforcement, and evaluation. Lead architecture across distributed services optimized for low latency, high throughput, GPU efficiency, reliability, cost, operability, and secure multi-tenant

Jr AI Developer Atlanta, GA posted: Posted Yesterday

Product Manager II - Model Lab New York, New York, USA As a Product Manager II for Model Lab , you will define and launch Datadog's experiment tracking platform built for teams training and fine-tuning foundational models. Model Lab centralizes metrics, hyperparameters, datasets, code versions, artifacts, and lineage to help ML and AI teams achieve reliable, reproducible, and explainable training runs at scale. This is a 0→1 opportunity to build a new product that will be deeply integrated into Datadog's observability platform. You will shape the product vision, validate the market, and drive execution for a new category-defining offering that serves AI research, ML platform, and applied AI teams. At Datadog, we value our office culture - the relationships it builds, the creativity it fosters, and the collaboration that comes from working together. We operate as a hybrid workplace to help employees create a work-life harmony that fits their needs. What You'll Do: Define the vision and strategy for Model Lab, establishing Datadog's position in experiment tracking and model training observability Lead 0→1 product discovery with AI research teams, ML platform engineers, and infrastructure leaders to deeply understand experiment tracking workflows and pain points Design a system that unifies training metrics, hyperparameters, artifacts, dataset lineage, and model evaluation into a coherent and scalable experience Identify differentiation opportunities vs. competitive alternatives and homegrown internal tooling Partner closely with engineering and design to ship foundational capabilities such as experiment lineage, artifact versioning, distributed training visibility, and reproducibility workflows Collaborate with go-to-market teams

Senior Manager - Advertising & Communication 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. Role Overview As Senior

Lead AI Consultant Lisbon posted: Posted 30+ Days Ago

Site Reliability Engineer (Hosted Infra) - Platform North America, 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: We are Cloud Infrastructure SREs that integrate, scale, and evolve multi-cloud infrastructure across 4 Cloud Service Providers, 70+ globally distributed regions, and tens of thousands of hosts to power Elastic Cloud. We tackle hard problems at scale through automation, Infrastructure as Code (IaC), configuration management, and purpose-built software that eliminates toil and improves reliability. We're also a team that grows people as well as systems. If that challenge genuinely excites you, we'd love to hear from you. What You Will Be Doing: - Engineering software to automate large-scale systems - building internal tools and services, not just running scripts. - Optimizing the reliability and lifecycle of hosts across multiple cloud providers. - Strengthening our observability posture - crafting alerting and monitoring systems that drive incident prevention over incident response. - Scaling global infrastructure and evolving the

Lead AI Engineer Tlaquepaque, Jalisco, Mexico

Site Reliability Engineer (Hosted Infra) - Platform 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 We are Cloud Infrastructure SREs that integrate, scale, and evolve multi-cloud infrastructure across 4 Cloud Service Providers, 70+ globally distributed regions, and tens of thousands of hosts to power Elastic Cloud. We tackle hard problems at scale through automation, Infrastructure as Code (IaC), configuration management, and purpose-built software that eliminates toil and improves reliability. We're also a team that grows people as well as systems. If that challenge genuinely excites you, we'd love to hear from you. What you will be doing - Engineering software to automate large-scale systems - building internal tools and services, not just running scripts. - Optimizing the reliability and lifecycle of hosts across multiple cloud providers. - Strengthening our observability posture - crafting alerting and monitoring systems that drive incident prevention over incident response. - Scaling global infrastructure and evolving the infrastructure management

Senior AI Research Scientist 5 Locations posted: Posted 11 Days Ago

Data Engineer San Francisco, California, United States, New York 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 We're hiring a Data Engineer to build and scale Baseten's internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw product and business data into reliable datasets that power decision-making. You'll design the data models, pipelines, and analytics infrastructure that enable teams across Product, Engineering, Finance, Marketing, and Sales to understand usage and performance. This includes working with AI inference, infrastructure, and observability data to generate insights about the product, business operations and platform economics. You'll partner closely with stakeholders to build robust, scalable pipelines, define company-wide metrics that inform strategy and planning. RESPONSIBILITIES - Design and maintain core data models and semantic layers - Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks - Analyze inference and infrastructure telemetry , including data from OpenTelemetry, Grafana, and other observability tools - Define and maintain company-wide metrics across

Senior AI Engineer New York, New York, United States of America posted: Posted 30+ Days Ago

Senior Software Engineer - Python and Data Ecosystem 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! The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability,

Software Architect with Enterprise Architect Skills (all genders) Lisbon, Lisbon, Portugal Company Description: Job Description: Join our growing Roland Berger AI Lab as the technical backbone for designing secure, scalable (Gen)AI systems. In this dual role, you will support both our internal transformation and client projects, guiding consulting teams and their clients in building future-proof target architectures for generative AI, including AI agent applications. You will translate business goals into Enterprise and Solution Architectures, derive Target Architectures from reference patterns, and guide delivery teams from PoV to production. You will own cross-cutting concerns - identity, data, observability, reliability, cost - you will lead design reviews, architecture decision records (ADRs), and guardrails. Partnering with Backend, DevOps, AI Engineers, and Product core teams, you will ensure agentic/LLM components, services, and data flows form a coherent platform. Qualifications: Degree in Computer Science,Engineering, or equivalent experience 6+ years of experience in architecting cloud software, with a proven track record of delivering production systems Expertise in Enterprise Architecture and Solution Architecture, with clear artifacts and governance practices Ability to derive a Target Architecture from reference designs and constraints Strong understanding of non-functional requirements and guardrail implementation: security, observability, performance, reliability and cost Proficiency in cloud and hybrid architectures (Azure, AWS, GCP): networking, IAM, data, secrets, policies, and private endpoints Experience with MCP architecture and integration: designing MCP server topology, capability schemas, tool gating/permissions, auditing and tracability Familiarity with patterns for agentic/LLM systems such as tool-calling, orchestration, evaluation loops and finetuning pathways Expertise in API and

Principal Applied Scientist, Agentic AI Remote-USA posted: Posted 30+ Days Ago

Senior AI Engineer Remote – USA posted: Posted Yesterday

Member of Technical Staff - Infrastructure Toronto (hybrid), Toronto, Ontario, Canada About Phylo Phylo is an applied research lab building agentic intelligence to accelerate discovery for every biomedical scientist. We believe AI agents will fundamentally transform how biomedical research is done, enabling faster and more systematic scientific progress. Our growing team brings together world-class researchers and engineers across AI and biology. Backed by a $13.5M seed round led by a16z, Menlo Ventures, and Anthropic, and advised by Nobel Prize laureate and pioneering biologists, Phylo is building the next generation of AI systems for the life sciences. About the role We're looking for an Infrastructure Engineer to build, operate, and scale the deployment foundations for Phylo's enterprise AI platform. This role is focused on the systems that let Phylo run reliably in real-world customer environments: cloud infrastructure, Kubernetes, secure single-tenant deployments, observability, networking, storage, and operational workflows. You'll help bring Phylo's agentic AI platform into enterprise pharma, biotech, and research environments where security, reliability, data isolation, and deployment discipline matter deeply. You'll work closely with engineering, ML, science, and customer-facing teams to make Phylo easy to deploy, monitor, support, and scale across cloud and customer-managed environments. What You'll Work On - Design, build, and operate infrastructure for Phylo's enterprise deployments, including single-tenant and customer-hosted environments. - Build deployment systems for cloud-native and enterprise environments, own Kubernetes-based infrastructure for Phylo services, sandboxed agent execution, compute workloads, storage mounts, networking, and observability. - Support infrastructure for scientific and computational workloads, including HPC-adjacent workflows,

Evaluation & Insights Machine Learning Engineer Seattle, United States of America Imagine what you could do here. At Apple, great new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Are you passionate about music, movies, and the world of Artificial Intelligence and Machine Learning? So are we! Join our Human-Centered AI team for Apple Products. In this role, you'll represent the user perspective on new features, review and analyze data, and evaluate AI models powering everything from search and recommendations to other innovative features. Collaborate with Data Scientists, Researchers, and Engineers to drive improvements across our platforms. We are looking for an Evaluation & Insights Engineer for the Human-Centered AI team to help evaluate and improve AI systems by combining data science, model behavior analysis, and qualitative insights. In this role, you will analyze AI outputs, develop evaluation frameworks, design qualitative, and translate findings into actionable improvements for product and engineering teams. This role blends deep technical expertise with strong analytical judgment to assess, interpret, and improve the behavior of advanced AI models. You will work cross-functionally with the Engineering and Project Managers, Product, and Research teams to ensure that AI experience is reliable, safe, and aligned with human expectations. Lead Rigorous Model Evaluations: Architect and execute comprehensive evaluation suites for LLMs and multimodal models, identifying edge cases in multi-step reasoning, factuality, adversarial robustness, safety, and alignment. Advanced Scoring

Staff Software Engineer, Agent Engineering - 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,

Senior AI/ML Platform Engineer (LLM/SLM Inference) San Jose, California, US The application window is expected to close on: 06/26/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team Join Cisco's CX AI Incubation Team as a Senior AI/ML DevOps Engineer and help productionize LLM/SLM capabilities for Intelligent Customer Experiences, across cloud and on-prem environments. In Cisco CX, you will build and operate scalable AI systems that move from prototype to production, powering delivery intelligence, network automation, infrastructure testing, and intelligence on edge. You will collaborate with product and engineering teams to deploy reliable, secure, and observable AI services, optimizing inference performance from CPU and small GPUs to large multi-GPU servers, including air-gapped and customer-managed deployments. Your Impact Join Cisco's Customer Experience (CX) AI Incubation team to build and run production-grade AI platforms and services that transform customer engagement and operational efficiency. You will focus on end-to-end AI DevOps for LLMs/SLMs, including on-prem inference packaging, runtime optimization, deployment automation, and model/service observability. This role requires strong software engineering, hands-on GPU inference experience, and a track record of operationalizing models at scale. What You'll Do • Productioni ze LLM/SLM-powered features by building robust model-serving and deployment pipelines (cloud + on-prem) with clear SLAs, monitoring, and rollback strategies. • Optimize inference performance across CPU, small GPUs, and large multi-GPU servers using quantization, batching, KV-cache strategies, and runtime tuning for cost and latency. • Package and integrate on-prem inference

Staff Engineer - AI USA - Remote posted: Posted 4 Days Ago