Agentic Ai Engineer Jobs

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location F10 (North Coast Drive), SIngapore Department NAND Product Development Engineering Project Title Development and Deployment of an AI Agent for Project Execution and Optimization Project Description The intern will undertake an engineering project focused on developing an AI-Enabled solution for NAND product-development project execution. Under mentor guidance, the intern will collaborate with project stakeholders to develop an AI agent that identifies project risks, recommends mitigation actions, and integrates with relevant AI tools and engineering workflows. The project provides exposure to NAND product development, Agentic AI, data analytics, and application deployment. Objective of the Project Develop an AI agent for project-risk detection and mitigation. Improve the efficiency and quality of project execution decisions. Integrate the Agentic Solution with selected AI tools or engineering workflows. Evaluate the solution using defined technical and productivity measures. Opportunities for Full Time Employment Interns may be considered for future internship or full-time employment

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Micron Singapore Back End Department Test Engineering Project Title Machine Availability and Parts per Jam Improvement Through Predictive Analytics Project Description The intern will undertake an engineering project to improve burn-in equipment performance using predictive analytics, data automation, and Agentic AI. Under engineer guidance, the intern will analyze equipment alarm logs, investigate downtime patterns, and develop data-driven solutions to improve machine availability and Parts per Jam performance. Objective of the Project Develop a structured alarm database for selected equipment, burn-in boards, and sockets. Apply predictive analytics to identify conditions linked to downtime or reduced performance. Develop automated notification and visualization workflows. Evaluate Agentic AI applications for equipment monitoring and alarm analysis. Opportunities for Full Time Employment Interns may be considered for future internship or full-time employment opportunities based on business needs, role availability, academic completion, and demonstrated capabilities. Project Scope </

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Bendemeer, Singapore Department Assembly, Process and Equipment Engineering Project Title Assembly Output and Yield Optimization for Cost Improvement Project Description The Assembly Process and Equipment Engineering Intern will undertake an engineering project focused on improving assembly output, process yield, product quality, and manufacturing cost. Under the guidance of experienced engineers, the intern will study semiconductor assembly processes and apply engineering methodologies to identify process variations, analyze potential failure modes, and evaluate improvement opportunities. The project will include experimental planning, engineering data collection, statistical analysis, and effectiveness monitoring. The intern will also explore how data analytics, Generative AI, and Agentic AI can improve engineering analysis, technical documentation, and problem-solving workflows. Objective of the Project Identify assembly process factors that influence output, yield, product quality, reliability, and manufacturing cost. Apply structured engineering methods to investigate selected process or equipment-related opportunities.<

Senior Software Engineer - (Agent Training and Evals) Engineering Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role As a Senior Software Engineer, you'll be one of the first engineers on our Agent Training & Evals team. You'll build infrastructure to evaluate AI agents at scale against real human expertise, in safe and secure environments. The better we get at this, the more useful, reliable and safe agents become. This is a genuine 0→1 role. There isn't a well-established playbook or existing architecture for you to simply maintain. You’ll shape the team’s technical direction and the products we build. You'll work closely with engineering, product and AI research to turn ambiguous problems into scalable systems, and you'll see the impact of what you build directly. What you’ll be doing in the role Build a platform to support evaluating and fine-tuning agents Take prototypes to production; turn experiments and research ideas into reliable, well-tested software Own what we ship as it scales in production Solve hard problems around data, compute, orchestration, scaling, security and reliability Work with emerging agentic AI technologies and rapidly evolving models Make effective product and technical decisions in a highly experimental environment Partner closely with customers, product engineering and AI research to turn problems and opportunities into working products Drive direct impact in a fast-moving, high-ownership, cross-functional team What you’ll bring to the role A background in Software Engineering, Data Engineering or MLOps Strong experience building scalable infrastructure or distributed systems in the clo

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About Mixpanel Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more. About The Team Mixpanel Engineering is a small, fast-moving team focused on delivering real value to customers. We build powerful AI-powered product analytics while obsessing over clarity, simplicity, and delight. Engineers here own problems end to end. You can move across the stack to ship impact without being blocked by silos or heavy process. Product innovation drives our business, and product engineering teams own that responsibility. Our OLAP engine queries over 500 trillion events; a typical blob storage system we interact with processes 300 PiB/month at 1.2 Tbps sustained, and we run many of them across the world. The Data Runtime team owns the data execution layer that powers every Mixpanel product. We ensure that every customer query runs fast, cheap, and reliably, at any scale. This is an exciting time to join. Mixpanel's agentic and AI-first products are driving rapid growth in query volume, and Data Runtime is making the big bets that power it. We’re investing in elastic query compute and a distributed file cache that will let us scale query workloads dramatically without scaling cost with them. We

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About Mixpanel Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more. About The Team Mixpanel Engineering is a small, fast-moving team focused on delivering real value to customers. We build powerful AI-powered product analytics while obsessing over clarity, simplicity, and delight. Engineers here own problems end to end. You can move across the stack to ship impact without being blocked by silos or heavy process. Product innovation drives our business, and product engineering teams own that responsibility. Our OLAP engine queries over 500 trillion events; a typical blob storage system we interact with processes 300 PiB/month at 1.2 Tbps sustained, and we run many of them across the world. The Data Runtime team owns the data execution layer that powers every Mixpanel product. We ensure that every customer query runs fast, cheap, and reliably, at any scale. This is an exciting time to join. Mixpanel's agentic and AI-first products are driving rapid growth in query volume, and Data Runtime is making the big bets that power it. We’re investing in elastic query compute and a distributed file cache that will let us scale query workloads dramatically without scaling cost with th

WHO WE ARE Edmentum is a dynamic educator and student-focused company dedicated to tech-enabled learning solutions. Our goal is to ensure that all students have access to flexible learning environments and educators have the tools they need to support their students. We are on a mission to create innovative, proven learning technology, partnering with educators to ignite student potential. We are a Remote First organization with a strong commitment to excellence, innovation, and customer satisfaction. We are embracing AI-first engineering practices across Technology, equipping our engineers with leading AI and agentic development tools and continually evolving how we build software. We are embedding AI-enabled practices across the full software delivery lifecycle - from research and design through development, testing, delivery, and operations, amplifying engineering impact, accelerating innovation and delivery while improving quality. What You’ll Do As a Senior Software Engineer, you’ll play a pivotal role in shaping solutions that impact educators and students every day. You’ll leverage your technical depth and leadership to guide delivery from idea to production, modernize legacy systems, and drive innovation in our evolving product landscape. In this role you will: Architect and deliver high-quality, scalable, accessible software solutions using modern .NET and Angular frameworks. Lead technical design sessions and mentor team members to elevate engineering standards. Collaborate with product stakeholders to consult on solution viability and estimation. Modernize legacy web applications and drive adoption of best practices. Proactively identify and address technical risks and inefficiencies. Create and maintain technical documentation for solutions and processes. Take ownership of the entire solution lifecycle, emphasizing quality and iterative value delivery. Who You Are You embrace AI/agentic assisted development backed by advanced context engineering and prom

About the team: Rubrik secures and accelerates the world’s AI transformation. As AI agents reshape the enterprise, Rubrik’s Enterprise AI Incubation team proves it on Rubrik itself. We are building a thinking enterprise: applications that don't just record the business but help run it. They learn from our data, act through our own agents, and improve with every decision. Fully backed by executive leadership, this team drives meaningful, large-scale enterprise transformation. About the role: We want senior engineers who have already shipped agents that real people rely on, and who are ready to do it again at higher stakes. You will drop into the real work, redesign it around agents that carry it end to end, and ship it as the new way that part of Rubrik operates.You’ll own your agent systems end to end: understanding the workflow, designing the architecture, writing the code, deploying, and running it in production. Rather than simply querying an API, you engineer robust, production-grade infrastructure around model endpoints, integrating custom tooling, context pipelines, automated evaluations, and defensive guardrails to ensure resilience against unstructured real-world data. You also decide whether a problem needs an agent, a simpler automation, or nothing at all, and you have explicit authority to stop or re-scope work that won’t deliver impact. You thrive in ambiguous environments with a low-ego mindset, leveraging AI coding tools as core collaborative partners in your engineering workflow. What you’ll do: Lead product discovery alongside Product Managers and domain experts to understand real workflows, map them out, and define clear problems, baselines, and success criteria as the foundation for building agentic solutions. Design, build, test, and deploy production agents, automations, and internal tools using coding agents, LLM APIs, and agent frameworks, integrated with Rubrik’s internal agent platform and business systems. Turn complex processes into multi-a

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is looking for a Workload Performance Optimization Engineer to help optimize the software workloads that run on our next-generation RISC-V platforms. You’ll work across modern datacenter and agentic AI workloads—including Java, Python, PHP, Node.js, Lua, Go, and Rust—to identify performance bottlenecks and develop software, compiler, runtime, and hardware-aware optimizations that improve throughput, latency, and efficiency. This role sits at the intersection of software runtimes, compilers, CPU microarchitecture, and RISC-V silicon. You’ll bring up and tune major runtimes, profile real-world applications, investigate memory and concurrency behavior, and explore optimizations using RISC-V Vector/Matrix capabilities and custom instructions. You’ll also work with AI-assisted development and automated optimization workflows to accelerate the performance engineering process. Your work will directly influence both the RISC-V software ecosystem and the architecture of future Tenstorrent CPUs. This role is remote, based out of North America. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You’re a performance engineer who enjoys getting d

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is looking for a Workload Performance Analysis Engineer to help shape the performance of our next-generation RISC-V CPUs across modern datacenter and agentic AI workloads. In this role, you’ll sit at the intersection of hardware and software, bringing real-world applications onto RISC-V platforms, characterizing their behavior, and using workload analysis to uncover opportunities for better CPU performance, efficiency, and scalability. You’ll work closely with CPU architects, RTL designers, software engineers, and compiler teams to understand how demanding workloads exercise the CPU and translate those insights into architectural improvements. From reducing large production workloads for performance modeling to correlating simulation results with hardware behavior, your work will directly influence CPU architecture and performance across cloud, enterprise, and emerging AI workloads. This role is remote based out of North America. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You have a strong background in CPU performance analysis, workload characterization, or computer architecture, with experience connecting software beha

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Position Summary We are hiring a Software Dev Engineer to design, build, test, and deploy AI-powered applications. You will work across the full application lifecycle — from architecture and implementation through automated testing, CI/CD deployment, and production monitoring — building features that put large language models and agentic tooling to work inside SonicWall's internal systems. This is a hands-on engineering role for someone with 6–8 years of professional software development experience who is comfortable owning services end to end: writing production-quality code, integrating LLM and agentic APIs, standing up reliable data and retrieval pipelines, and shipping through a disciplined test-and-release process. You will collaborate closely with senior engineers, product stakeholders, and platform teams to turn requirements into dependable, well-tested applications. Key Responsibilities Develop AI applications: Design and build features and services that use LLM and agentic capabilities — prompting, tool/function calling, retrieval-augmented generation (RAG

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Position Summary We are hiring a Software Dev Engineer to design, build, test, and deploy AI-powered applications. You will work across the full application lifecycle — from architecture and implementation through automated testing, CI/CD deployment, and production monitoring — building features that put large language models and agentic tooling to work inside SonicWall's internal systems. This is a hands-on engineering role for someone with 6–8 years of professional software development experience who is comfortable owning services end to end: writing production-quality code, integrating LLM and agentic APIs, standing up reliable data and retrieval pipelines, and shipping through a disciplined test-and-release process. You will collaborate closely with senior engineers, product stakeholders, and platform teams to turn requirements into dependable, well-tested applications. Key Responsibilities Develop AI applications: Design and build features and services that use LLM and agentic capabilities — prompting, tool/function calling, retrieval-augmented generation (RAG), and orchestration — to solve real internal business problems. Write production code: Implement clean, mai

Job Description Location: Bengaluru (Whitefield) Experience: 10+ Years About the Role SAIGroup is looking for an Engineering leader for one of its portfolio companies to drive the architecture, design, and engineering of next-generation Agentic AI solutions for healthcare/medical imaging. The ideal candidate will combine deep expertise in Agentic AI architecture and platform design with strong healthcare domain experience. The individual will be responsible for defining the technology vision, building scalable AI platforms and applications, leading engineering teams, and representing the organization's technology capabilities with customers, partners, and senior stakeholders. This is an opportunity for a builder and technology leader who has experience taking complex AI solutions from architecture and concept through production at scale. Key Responsibilities Agentic AI Architecture & Technology Leadership Define and own the architecture and technical strategy for Agentic AI platforms and applications. Design scalable, secure, reliable, and production-ready agentic AI architectures. Drive the design of AI agents, multi-agent systems, orchestration frameworks, tool integration, memory, reasoning, and workflow automation. Evaluate emerging Agentic AI technologies, frameworks, models, and architectural patterns and translate them into practical healthcare applications. Establish engineering and architectural standards for AI/ML products and platforms. Healthcare AI & Clinical Technology Lead the development of AI platforms & applications addressing complex healthcare and clinical use cases. Apply knowledge of healthcare workflows, clinical data, healthcare interoperability, and regulatory considerations to technology architecture. Partner with product and clinical stakeholders to translate healthcare problems into scalable technology solutions. Experience with medical/clinical imaging, radiology, or imaging workflows will be an added advantage.

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building next-generation RISC-V CPUs optimized for AI, high-performance computing, and emerging autonomous AI systems. As the RISC-V AI / HPC & Agentic Software Engineering Lead, you will operate at the hardware–software boundary, enabling AI, HPC, and agentic AI software stacks on Tenstorrent’s RISC-V processors. This role is responsible for integrating and optimizing Tenstorrent’s LLK (Low-Level Kernel) infrastructure for CPU execution, while leading the bring-up of a RISC-V-native agentic AI software stack — including runtime orchestration, distributed execution frameworks, memory systems, and developer tools required for goal-driven AI systems. You will work closely with CPU architects, microarchitecture teams, compiler engineers, and AI kernel developers to ensure tight alignment between software capabilities and RISC-V architectural features. This role is remote, based out of Taiwan. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A systems-oriented software engineer with deep experience in HPC and AI software stacks. Experienced with distributed AI systems, orchestration frameworks, or agentic AI architectu

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building next-generation RISC-V CPUs optimized for AI, high-performance computing, and emerging autonomous AI systems. As the RISC-V AI / HPC & Agentic Software Engineering Lead, you will operate at the hardware–software boundary, enabling AI, HPC, and agentic AI software stacks on Tenstorrent’s RISC-V processors. This role is responsible for integrating and optimizing Tenstorrent’s LLK (Low-Level Kernel) infrastructure for CPU execution, while leading the bring-up of a RISC-V-native agentic AI software stack — including runtime orchestration, distributed execution frameworks, memory systems, and developer tools required for goal-driven AI systems. You will work closely with CPU architects, microarchitecture teams, compiler engineers, and AI kernel developers to ensure tight alignment between software capabilities and RISC-V architectural features. This role is remote, based out of North America. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A systems-oriented software engineer with deep experience in HPC and AI software stacks. Experienced with distributed AI systems, orchestration frameworks, or agentic AI arc