Observe.ai jobs

AI Analyst (Support Agent)- Cortex Office - Israel - Tel Aviv posted: Posted 30+ Days Ago

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

Principal AI Agent / ML Software Engineer (OCI) San Francisco, CA, United States, US The 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

AI Platform Reliability Engineer United States, US Oracle Health is seeking an AI Platform Reliability Engineer to ensure our AI agent platform and AI-enabled analytics workflows are reliable, observable, measurable, and safe in production. This role will focus on the operational foundation for production AI systems, including monitoring, tracing, evaluation in production, rollback controls, alerting, versioning, runtime diagnostics, and quality safeguards. The engineer will also support data reliability use cases such as detection of stopped processing, data gaps, freshness issues, schema drift, and anomaly conditions that affect downstream analytics and reporting. The ideal candidate brings strong engineering discipline in observability, release safety, and operational tooling, with the ability to apply those skills to modern AI and agent-based systems. This role is critical to maintaining trust in AI outputs and ensuring new capabilities can scale safely across Oracle Health. Build and maintain observability, logging, tracing, and monitoring for AI agents, agent tools, and AI-enabled analytics workflows. Implement release, rollout, rollback, and versioning controls for prompts, models, tools, and configurations. Design and support production evaluation practices to detect regressions, silent failures, quality drift, and performance issues. Contribute to data monitoring and reliability workflows, including detection of stopped processing, data gaps, freshness issues, schema drift, and anomalies. Support incident response, triage, root-cause analysis, and operational reporting for AI and data reliability issues. Partner with architects and AI engineers to ensure systems are production-ready, measurable, and maintainable. Implement latency, throughput, and cost monitoring controls for AI-enabled systems. Help enforce operational safeguards, auditability, and controlled

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 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

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

SDE-II, AI Core Infra - AI Analytics and Insights Bengaluru, Karnataka, IND Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising solutions that drive product discovery and sales. We deliver billions of ad impressions every single day on behalf of our advertisers and generate massive volumes of data across the advertising lifecycle. We are building a conversational AI assistant that empowers data engineers, analysts, and business stakeholders to interact with our vast advertising data lake through natural language. Using state-of-the-art generative AI, SpektrBot enables teams to generate insights faster by translating natural language queries into accurate, trusted data retrievals, eliminating the friction between questions and answers. As an SDE II on this team, you will be at the center of designing, building, and scaling the systems that power this conversational AI experience. You will architect robust backend services, build reliable integrations with large language models (LLMs), develop retrieval-augmented generation (RAG) pipelines, and engineer the feedback loops that allow our system to continuously evaluate and improve itself. You will work alongside applied scientists, product managers, and fellow engineers in a fast-paced, high-ownership environment where your contributions directly shape the product and influence how thousands of internal customers interact with data. This is a rare opportunity to build a 0-to-1 product at Amazon's scale, one that sits at the intersection of generative AI, data engineering, and conversational interfaces. If you are passionate about building production-grade AI-powered systems, thrive in ambiguity,

AI Agent Engineer Bengaluru posted: Posted 16 Days Ago

Senior AI Engineer United States - Illinois - Abbott Park posted: Posted 2 Days Ago

AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted Today

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

Senior Agentic AI Engineer Yerevan posted: Posted 30+ Days Ago

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

Staff AI/ML Engineer - Edge AI System 6 Locations posted: Posted 30+ Days Ago

MuleSoft Consumption Value Delivery Sr Manager, AI & API Solutions United Kingdom - London At Salesforce, we believe AI is only as powerful as the trusted context that supports the actions it takes. MuleSoft is the backbone of Agentforce , the engine that connects AI to the systems that run the world. We are looking for you to lead the charge in the Agentic Era - turning AI into real-world business results through the power of Agentic Orchestration, data and application integration. Overview of the Role As a Consumption Value Delivery Senior Manager , you own your business . As a crucial member of the account teams, you'll use your experience and leading AI tools to build and nurture relationships directly with customers, across Salesforce and the ecosystem. This is a customer-facing role. You will work directly with a set of AI, Integration and API customers on their Agentic future , empowered to manage your portfolio autonomously to achieve the business goals. This role is rooted in stewardship and ownership; you will be responsible for the growth, health and retention of our most strategic accounts - all through the lens of consumption. You will act as a business partner to sales leaders , acting as the strategic heart of their entire territory. You aren't just observing the business - you are driving it. You bring the information and insights that matter, proactively highlighting where interventions are needed and identifying the customer stories that inspire others. Your goal is to ensure

AI Engineer 2 Locations posted: Posted 30+ Days Ago

AI Engineer 3 Locations posted: Posted 24 Days Ago

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

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

Applied Scientist, Observability and Triage, Prime Video London, England, GBR Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on. The Observability and Triage team is looking for an Applied Scientist for our London office experienced in generative AI and large models. This is a wide impact role working with development teams across the UK, India, and the US. This greenfield project will deliver features that reduce the operational load for internal Prime Video builders and for this, you will develop AI-driven solutions that automatically detect anomalies, identify

Platform Engineer - Observability Bucharest posted: Posted 7 Days Ago

DevOps Engineer - Observability Bucharest posted: Posted 7 Days Ago

Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy San Francisco, California, USA Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We're enabling practical AI to make our customers more productive, empowered, and fulfilled. Our work leverages large vision language models (VLMs) with reinforcement learning (RL) and world modeling to solve perception, reasoning, and planning to build useful enterprise agents. Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We're entering an exciting new era where agents can redefine what AI makes possible. Key job responsibilities You will lead our efforts to improve the multi-model perception and reasoning abilities of our AI agent in an applied research role. Responsibilities including model training, dataset design, and pre- and post-training optimization. You will be hired as a Member of Technical Staff. Basic Qualifications: - 5+ years' experience building machine learning models - PhD or Master's degree in computer science or related field - Proficiency in Python, Java, C++, or related language - Experience with deep learning methods and tools, e.g., PyTorch, JAX Preferred Qualifications: - Background in scientific research with a proven ability to generate and implement new ideas in machine learning - Experience with post-training of large Vision Language Models (VLMs). - Willingness to step outside typical role boundaries to get things done