Ai Application Engineer Jobs

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. The Opportunity Adyen is building a top-tier AI engineering organization in Amsterdam, San Francisco and Madrid to drive our next chapter of innovation using AI globally across the entire company. This is a highly technical, hands-on role focused on the exploration and application of cutting-edge AI research within the financial technology sector. As a Senior AI Research Engineer, you will operate with a high degree of autonomy and responsibility , delivering strategic, high-impact outcomes that bridge the gap between advanced AI research and production-grade applications at a global scale, potentially impacting trillions of dollars in transactions annually. What You'll Do: Innovate and Deploy: Drive the execution of Adyen's AI strategy , focusing on the practical application of Generative AI (GenAI) and other AI methodologies in finance . This includes contributing to Adyen's efforts in key research areas such as AI agents for data analysis and operational workflows , human-in-the-loop for integrity risk , and development of foundation models . For instance, you might contribute to initiatives like the Data Agent Benchmark for Multi-step Reasoning (DABStep) , which evaluates AI agents on real-world data analysis tasks, including those from the financial sector. Build Production-grade Applications: Bridge the gap between cutti

Job Requisition ID # 26WD97978 Position Overview The DFA Applied AI team at Autodesk builds intelligent, AI-powered solutions that enable users to discover, access, manage, and collaborate on design and manufacturing data through natural language and intuitive user experiences. Our work combines LLM-powered agents, scalable backend services, and reusable UI components to deliver seamless, connected workflows across Autodesk products and data sources. Responsibilities Lead the architecture, design, and delivery of full-stack AI-powered solutions, from backend agent services to React/TypeScript user experiences. Design and develop LLM-powered agents, including tool calling, orchestration, streaming responses, and multi-turn conversational workflows. Build scalable backend services, APIs, and integrations that enable secure access to design and manufacturing data. Develop reusable React/TypeScript components and intuitive user experiences for AI-powered and data access workflows. Drive technical decisions across agent architecture, LLM integration, backend services, and cloud infrastructure. Ensure production readiness through robust testing, security, performance, reliability, and observability. Mentor engineers, establish engineering best practices, and own features from design through production. Minimum Qualifications 10+ years of software engineering experience building and delivering large-scale production systems. Hands-on experience with LLM application patterns, including tool use, streaming responses, multi-turn conversations, and context/session ma

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About our Team: Micron’s Industrial and Physical AI team is driving the transformation of semiconductor manufacturing through Autonomous Operations, AI, robotics, and digital twin technologies! We develop and deploy innovative solutions across Micron’s global fabrication and assembly/test facilities, enabling smarter, safer, and more efficient operations at scale. Position Overview: We are seeking a hands-on Full-Stack AI Engineer to design, build, and deploy production-grade AI applications that support Micron's Autonomous Operations initiatives. This role owns the end-to-end development lifecycle, from data pipelines and AI models to APIs, web applications, digital twin integrations, and cloud/edge deployments, delivering impactful solutions for engineers, operators, and business leaders worldwide. Responsibilities: Design, architect, and deliver end-to-end AI products, including data ingestion pipelines, feature engineering, model training/inference, APIs, user interfaces, and application monitoring. Build and maintain modern front-end applications using React, Angular, or Streamlit, supported by backend services in Python and FastAPI. Develop scalable integrations between manufacturing systems, robotics platforms, AMRs, sensor networks, and enterprise applications to enable intelligent factory operations. Design and implement digital twin environments using platforms such as NVIDIA Omniverse, Gazebo, or Unity Robotics Hub to support simulation, validation, and o

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role You’ll own AI-assisted coding within Sentry’s Platform Engineering organization, building the systems and workflows AI coding agents need to contribute reliably to our codebase. Your work will span engineering teams, with Developer Infrastructure as your home base. Your first focus will be making internal developer systems accessible to agents. Many workflows currently depend on human interaction through a UI. You’ll identify the most valuable gaps, expose those capabilities through APIs, and connect tools such as Claude Code to complete development workflows. From there, you’ll improve the quality of AI-generated pull requests and automate recurring engineering work, including dependency upgrades, minor bug fixes, and maintenance. You’ll build the context and execution environment agents need: relevant repository information, tools and permissions, state management, tests, logs, recovery mechanisms, and evaluations. You’ll partner with engineers across Sentry to understand where agents succeed, where they fail, and which changes improve the development process. This role combines technical direction with hands-on implementation, from choosing the problems to solve through building, measuring, and improving the solutions. This role is based in San Francisco, with three days per week in the office to work closely with Platform teams and engineering leadership. What You’ll Do Set priorities for AI-assisted development at Sentry, using engineer feedback and workflow data to identify where agents would provide the most value. Make internal developer systems accessible through APIs and build integrations enabling a

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role Sentry already sees the moment software breaks: the error, the trace, the replay, the commit that caused it. Seer, our AI debugger, uses all of that to figure out what went wrong and how to fix it. We're looking for a Staff engineer to help decide how that system should evolve as models improve every few months. Some of what we build today will be obsolete by next spring. Part of the job is knowing which parts, and building the rest to last. In this role you will Build state-of-the-art agentic AI systems to triage, debug, and solve real production issues Set technical direction for how our agents get context, use tools, and decide when they're done Build the evals that tell us whether a new model or prompt actually helped, fast enough that people use them Decide when to use a frontier model, a smaller one, or one we trained, and revisit that as cost and capability shift Leverage Sentry’s novel (and massive) dataset of errors, spans, and profiles Own major AI initiatives end to end, alongside the developers and product teams shipping them Run what you ship in production and debug it with Sentry You'll love this job if you Are driven by impact and enjoy working on high-stakes, high-visibility projects Enjoy building things. You will have the opportunity to join the AI/ML team as one of its foundational members Thrive in cross-functional teams and enjoy building features alongside developers and product teams Qualifications You've shipped an LLM-backed system people depended on, and can tell us what broke You have strong opinions on agent design and have changed at least one in the last year You've trained or fin

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, US Applications will be accepted until November 01, 2026. Job Title: Senior Oracle Security and AI Engineer About the Role This Senior Oracle Security and AI Engineer is primarily responsible for the Oracle Fusion security architecture, role design governance, oversight of the Risk Management Cloud service and AI initiatives. The Engineer serves as a hands-on expert for the technical administration, environment management, a

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. We are looking for a highly skilled and detail-oriented Consultant – Quality Assurance to ensure the delivery of high-quality, secure, and reliable software solutions. The ideal candidate will have strong expertise in test strategy, automation frameworks, security testing, and AI-driven QA practices. This role requires close collaboration with cross-functional teams to drive quality across the SDLC while implementing modern automation and security standards. What You’ll Do: • Design, develop, and execute comprehensive test strategies, test plans, and test cases • Perform functional, regression, integration, system, and UAT testing • Lead and implement test automation frameworks to improve efficiency and coverage • Conduct Vulnerability Assessment & Penetration Testing (VAPT) – Expert Level (Preferred) to identify security risks • Integrate AI/ML-driven testing solutions for pre

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 to add a frontend engineer to develop and enhance new features on LangSmith, working on our enterprise platform product for LLM application observability, testing, and debugging. * This role can be based in our San Francisco, New York, or Boston office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements. What You Will Do: Develop new user-facing features using React & Typescript Build reusable components and front-end libraries for future use Translate designs and

Location: United States – Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a Senior AI Platform and Harness Engineer to develop and maintain the infrastructure, tooling, and evaluation frameworks that power enterprise AI solutions. This role is responsible for building the AI platform and reusable "AI harnesses" that enable Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and Generative AI applications to be securely developed, tested, evaluated, monitored, and deployed at scale. The ideal candidate has experience with AI platforms, LLMOps, software engineering, cloud-native technologies, and backend systems, along with a passion for building reliable, observable, and production-ready AI solutions. You will work closely with AI architects, software engineers, data scientists, and product teams to ensure AI solutions are scalable, secure, cost-effective, and continuously improving. What You'll Do: Design, build, and maintain enterprise AI platform capabilities supporting Large Language Models (LLMs), AI agents, RAG, and Generative AI applications. Lead data preparation, training and fine-tuning of LLMs Develop reusable AI harnesses to automate testing, prompt evaluation, model benchmarking, regression testing, and quality assurance. Build AI evaluation frameworks to measure model accuracy, retrieval quality, hallucination detection, latency, throughput, cost, and overall application performance. Implement observability and monitoring solutions for AI applications, including telemetry, tracing, logging, dashboards, and operational metrics. Build and maintain LLMOps pipelines supporting model deployment, versioning, evaluation, experimentation, rollback, and continuous improvement. Design automated workflows for prompt testing, retrieval evaluation, AI system validation, and performance benchmarking. Develop internal tools for prompt management, model experimentation, AI performance optimization, and developer

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX or San Francisco, CA About the Role AI inference is becoming core infrastructure. Every serious application will need access to many models, across many providers, with reliability, observability, security, cost control, and routing built in from the start. AI Gateway is Cloudflare’s bet that this layer should exist at the network edge: close to users, close to compute, and simple enough that a developer can adopt it with

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Senior Customer Engineer, Enterprise AI - Bay Area Want to work with emerging and established AI leaders like Anthropic and OpenAI on Cloudflare's most cutting edge AI Developer platform offering? Compensation Range For Enterprise AI CE $213,500 – $335,500 Location: Hybrid — San Francisco/Bay Area. We are only considering candidates working currently in the Bay Area OR are intent on moving to the Bay Area About Us At Cloudflare, we are on a

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX or London, UK (Hybrid) About the role You'll design and build the core infrastructure that powers AI inference across Cloudflare's global network — real-time voice, frontier open LLMs, and customer-deployed models running on a heterogeneous fleet of GPUs and next-generation accelerators in hundreds of cities worldwide. Working alongside AI/ML engineers, hardware partners, and Cloudflare product teams, you'll solve h

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role As a Senior Software Engineer on Sentry’s AI/ML team, you’ll be responsible for building the evaluation infrastructure that measures the accuracy, reliability, and real-world performance of our AI systems. This role is critical to ensuring that our debugging agents and AI-powered features behave correctly, safely, and predictably as they scale. You’ll design datasets, benchmarks, and test harnesses that turn ambiguous AI behavior into measurable signals, helping the team ship AI with confidence. In this role you will Design and build robust evaluation frameworks to measure accuracy, reliability, regressions, and edge cases in AI systems Create and curate high-quality datasets, golden test cases, and benchmarks grounded in real production data Build automated test harnesses and metrics pipelines to continuously evaluate models, prompts, and agentic workflows Partner closely with applied AI engineers and product leaders to define what “good” looks like and translate it into measurable criteria Own the evaluation lifecycle for major AI initiatives, from early experimentation through production monitoring You’ll love this job if you Care deeply about correctness, rigor, and measurement in AI systems Enjoy turning fuzzy product goals and model behavior into concrete tests and metrics Like building foundational infrastructure that unlocks faster iteration and higher confidence for the entire AI team Thrive in cross-functional environments and enjoy influencing model design through better evaluation Qualifications Minimum 5+ years of professional experience with a Bachelor’s degree in computer science, machine learni

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role As a Senior Software Engineer on Sentry’s AI team, you’ll be directly responsible for developing the platform used by our debugging agents. This role is crucial; you will be at the forefront of integrating AI and machine learning into our core products, from issue triage and resolution to predictive analytics for application performance monitoring. Your work will help companies around the globe gain actionable insights into their software, enabling them to build better products, faster. In this role you will Build state-of-the-art agentic AI platforms to triage, debug, and solve real production issues Leverage Sentry’s novel (and massive) dataset of errors, spans, and profiles Own the development of major initiatives in the AI/ML space You'll love this job if you Are driven by impact and enjoy working on high-stakes, high-visibility projects Enjoy building things. You will have the opportunity to join the AI/ML team as one of its foundational members Thrive in cross-functional teams and enjoy building features alongside developers and product teams Qualifications Minimum 5+ years of professional experience with Bachelor’s degree in computer science, machine learning, or a related field Demonstrated expertise building production-grade agentic systems and tools You are comfortable writing production quality code (we use Python and Typescript) Familiarity with deep learning frameworks (we use PyTorch) Familiarity in deploying machine learning models at scale in production environments The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $155,000 to

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role Seer runs agents against real production problems for Sentry's customers. That means long-running jobs, lots of tool calls, messy real-world data, and a cost bill that matters. We need a Senior engineer to build the platform those agents run on, so product teams can ship new AI features without rebuilding the plumbing every time. In this role you will Build state-of-the-art agentic AI platforms to triage, debug, and solve real production issues Make every run debuggable: traces, cost and latency per run, and enough context to explain a bad answer Build eval and rollout tooling so we can swap models without guessing Keep it flexible enough that next quarter's model or protocol is an upgrade, not a rewrite Leverage Sentry’s novel (and massive) dataset of errors, spans, and profiles Own major AI initiatives, building alongside developers and product teams You'll love this job if you Are driven by impact and enjoy working on high-stakes, high-visibility projects Enjoy building things. You will have the opportunity to join the AI/ML team as one of its foundational members Thrive in cross-functional teams and enjoy building features alongside developers and product teams Qualifications You have 5+ years building production systems, including LLM-backed products, and can point to one people relied on You write solid production Python and TypeScript You have good distributed-systems instincts: timeouts, idempotency, failure modes Model training experience is a plus, not a requirement The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $155,000 to $400,