AI Agent Engineering Intern

At Sendbird, we merge omnichannel AI with world-class, validated communication APIs to empower businesses in creating AI agents that enable meaningful customer connections at scale.Sendbird offers solutions with enterprise-level stability, security, and compliance. Over 4,000 leading global apps, including DoorDash, Match Group, Noom, and Yahoo Sports, trust Sendbird, facilitating over 7 billion conversations monthly through our platform.To date, we have raised a total of $220 million in funding from top-tier Silicon Valley investors, including ICONIQ, SoftBank, Tiger Global, and Y Combinator, and we are the first global unicorn company in Korea with a valuation exceeding 1 trillion won. Our headquarters in San Mateo, California, along with R&D centers and offices in Seoul, APAC, New York, London, Singapore, India, and Canada, reflect our global reach.Internship Opportunity: AI Agent EngineerThe AI Agent Engineering Intern will collaborate with engineering and product teams to build, integrate, and deploy intelligent agents. Throughout the internship, which lasts between 8 to 12 weeks, you will gain hands-on experience from prototyping to production using the latest web frameworks, LLM APIs, and tooling pipelines.Key Responsibilities:Agent Prototyping and DevelopmentDevelop micro-APIs for tasks such as hallucination detection and conversation resolution through prompt engineering.Test and validate the accuracy of AI agents using internal datasets and tools.Integrate backend APIs that support retrieval-augmented generation (RAG), knowledge bases, and custom toolchains.Prompt Engineering and ToolingCreate, test, and fine-tune prompts for various use cases.Establish CI/CD pipelines for prompt versions and agent deployment.Integration and DeploymentEmbed agents into web, chat, and API-centric environments.Implement observability features like logging and dashboards to monitor real-time performance metrics.Collaboration and DocumentationFacilitate close collaboration among team members, including senior engineers, product managers, and UX designers.Ideal Candidate:Proficient in Python with experience in writing clean and maintainable code.Hands-on experience in backend development using server-side frameworks like Django, FastAPI, or Express.Excellent communication skills and experience in collaborative environments, especially in agile teams.Preferred Qualifications:Experience with prompt engineering frameworks (e.g., LangChain).Understanding of cloud platforms (AWS Lambda, Vercel, GCP Cloud Functions).Experience in AI product-related UX design or product management.Familiarity with Django or similar Python web frameworks.What You Will Gain:Deep insights into cutting-edge agent-based AI development and system deployment.Cross-functional collaboration with engineering, product, and design experts.Mentoring from senior AI engineers, with opportunities for full-time transition.Experience with real customer use cases, performance tuning, and production-grade tool utilization.Flexible Work PolicySendbird supports flexible working schedules. Given the importance of collaboration and teamwork, all team members work together in the office at least three days a week. Some roles may require more frequent office attendance, so please discuss specific requirements with your manager.

Join Our AI Transformation TeamOur dynamic AI Transformation Team is dedicated to tackling intricate engineering challenges through innovative machine learning techniques, transitioning these solutions into impactful real-world applications. We specialize in creating agent systems designed to automate problem-solving, constantly refining and enhancing our approaches.Our mission is to seamlessly connect research with practical application by constructing platforms that utilize agentic AI for tangible engineering solutions.Key ResponsibilitiesArchitect and develop the foundational infrastructure for our Agent System Framework.Implement essential components of the agent runtime, focusing on orchestration, context management, tool execution, and memory abstraction.Work alongside cross-functional teams to quickly prototype and scale new agent functionalities into production environments.Design and enhance developer-friendly interfaces including CLI tools and SDKs.Minimum QualificationsA Bachelor’s degree in Computer Science, a related technical discipline, or equivalent practical experienceProven experience in at least two of the following areas:Designing and managing distributed systems or extensive backend systems.Building and deploying machine learning/AI systems, particularly those based on LLMs, in a production setting.Developing agent systems, workflow engines, or orchestration frameworks.Backend development proficiency in Python, Go, or C++.Preferred QualificationsMaster’s or PhD degree in Engineering, Computer Science, or a related fieldDemonstrated success in designing and implementing agentic AI system frameworks in real-world or large-scale contexts.Hands-on experience in developing LLM-based applications (e.g., for tool utilization, planning, reasoning systems).Experience in creating developer tools, such as CLI or SDKs.Contact UsFor inquiries, reach out to us at: recruit@furiosa.ai

If you're seeking a meaningful internship that goes beyond mundane tasks, join us at Sendbird where you'll engage in the creation, launch, and real-world application of groundbreaking AI products.About UsAt Sendbird, we're dedicated to shaping the future of the AI workforce. With over a decade of experience in building robust communication infrastructure—spanning chat, voice, video, and messaging APIs—we've established ourselves as the leading CPaaS platform for in-app communications. Trusted by more than 4,000 brands and facilitating 7 billion messages each month, we engage 300 million active users globally.Our technology powers conversations for major brands such as DoorDash, Match Group, Noom, Yahoo Sports, and Rakuten. Our track record speaks for itself.Recognizing the pivotal role of AI in transforming customer-business interactions, we made a strategic pivot in December 2024 towards an AI-first customer experience. By February 2025, we launched our AI agent tailored for enterprise customer experience, leveraging a decade's worth of conversation data enriched with intelligence. In November 2025, we rebranded ourselves as delight.ai.The essence of our name captures our mission: AI's true potential lies not merely in efficiency or cost reduction, but in restoring to customers the feeling of being genuinely understood and valued—leading to true delight.Our ProductDelight.ai serves as the intelligent concierge for customer experience. Unlike most AI agents that forget user interactions post-conversation, Delight.ai retains memory over time, learns user preferences, and maintains context across all communication channels—be it chat, SMS, email, voice, or WhatsApp—ensuring that customers feel seen and remembered.Why Join as an AI Agent Product Intern?This internship stands apart from typical AI roles that confine you to documentation or testing. We are undergoing a transformative shift from communications infrastructure to intelligent AI agents, and we need a quick thinker ready to make impactful contributions from day one. The AI Agent platform is amongst our foremost initiatives, shaping the trajectory of our next decade.As part of our product team, you will collaborate closely with engineers and designers, gaining hands-on experience with tools and technologies including LLMs, RAG pipelines, and agent frameworks that are redefining customer service. If you're enthusiastic about utilizing AI to accelerate your work and contribute meaningfully, this is your opportunity.

Join us at the forefront of agentic AI, where you'll be part of a team that builds intelligent systems capable of deep understanding. At Sendbird, we are not just developing prototypes; we are deploying AI solutions at scale that genuinely think and adapt.About SendbirdSendbird is committed to shaping the future of AI-driven customer interactions. With over a decade of experience in creating robust infrastructures for chat, voice, video, and messaging APIs, we've established ourselves as the leading CPaaS platform for in-app communications. Trusted by over 4,000 brands and facilitating 7 billion messages monthly, we connect 300 million active users.Our clients include industry leaders like DoorDash, Match Group, Noom, Yahoo Sports, and Rakuten. Our track record speaks for our expertise and excellence.Recognizing the transformative potential of AI in customer communication, we pivoted to an AI-first strategy in December 2024, launching our AI agent for enterprise customer experience by February 2025. Our rebranding to Delight.ai in November 2025 encapsulates our mission: to not just enhance efficiency, but to restore the essence of personalized service—creating delightful experiences for customers.About Delight.aiDelight.ai acts as the AI concierge for customer interactions, ensuring continuity and understanding across various channels. Unlike other AI agents, our solution retains memory, learns individual preferences, and maintains context—delivering a truly personalized experience.Why Join as a Senior Software Engineer, AI Agent?In an industry filled with superficial solutions, Sendbird's AI Agent platform stands out for its robustness, scalability, and genuine intelligence. This is not just maintenance work; you'll shape the core platform, designing orchestration, RAG pipelines, evaluation, and observability that will impact millions of customer interactions for years to come.

Job ResponsibilitiesStay abreast of cutting-edge AI research trends, including LLM, Agentic AI, Diffusion, and Inference acceleration, and explore integration opportunities with our proprietary NPU.Lead groundbreaking AI research aimed at publication in top-tier academic conferences.Forge research collaborations with prestigious global institutions and manage associated projects.

Key ResponsibilitiesManage and operate the testing infrastructure for our software and hardware solutions.Conduct operations and maintenance on bare-metal equipment utilized for evaluations.Support the evaluation infrastructure to ensure successful product validation.

Key ResponsibilitiesDevise and execute comprehensive verification strategies for block/IP/SoC, establishing test benches to facilitate effective verification at various levels.Create and implement functional testing protocols based on the established verification test plans.Lead the design verification process to successful completion, adhering to defined metrics for functional and code coverage.Analyze, troubleshoot, and rectify functional discrepancies in the design, working closely with the design team.Engage in collaboration with cross-disciplinary teams, including Design, Modeling, Emulation, and Silicon Validation, to ensure superior design quality.

Key ResponsibilitiesIntegrate and validate IP blocks within the System on Chip (SoC) architecture while assisting in the physical implementation process.Formulate specifications, architecture, and operational scenarios at the SoC level.Comprehend standard interface specifications (e.g., PCIe) and chip operational scenarios to effectively configure integrated IP blocks.Conduct performance analyses through chip-level simulations focusing on bus and memory bandwidth, alongside FPGA prototyping.

Key ResponsibilitiesDesign, develop, and sustain Linux PCIe device drivers and kernel modules to optimize system performance.Enhance PCIe subsystem functionality, focusing on DMA, IOMMU, interrupts, and BAR mapping.Create user-space libraries and APIs that facilitate high-speed data transfers.Collaborate with hardware and firmware teams to construct comprehensive PCIe I/O pipelines.Devise effective memory management techniques and implement zero-copy data transfer mechanisms.

About the RoleWe are seeking a dedicated Security Engineer to report directly to the CTO. This role is instrumental in establishing the company's security framework and implementing a Zero Trust architecture across our organization.You will be responsible for developing security policies, configuring systems, managing accounts, controlling access, ensuring cloud security, and conducting penetration testing.Key ResponsibilitiesEstablish and execute an enterprise security strategy and policies based on Zero Trust principles.Build and operate identity and access management systems (SSO, IAM, RBAC, etc.).Design and configure security architecture for SaaS and cloud infrastructure (AWS, GCP, etc.).Diagnose and enhance security vulnerabilities within internal systems and services.Collaborate with development and infrastructure teams to integrate security practices (code reviews, CI/CD security, etc.).Set up and manage incident response systems and monitoring environments.

Key ResponsibilitiesDesign and define architecture/microarchitecture specifications while taking full ownership of one or more chip modules, implementing them in RTL.Achieve convergence of functionality and Power, Performance, Area (PPA) within the design.Develop and refine designs in RTL (System Verilog or other HDLs), iterating to optimize power consumption, timing, and area efficiency.Construct straightforward test benches and troubleshoot intricate logic simulations.Minimum QualificationsA Master's degree in Electrical Engineering, Computer Science, or equivalent practical experience.A minimum of 2 years of relevant industry experience in chip design, particularly in RTL design (architecture and implementation), logic synthesis, verification, and timing closure.Proficient in implementing microprocessor simulators using C++ or other high-level programming languages.Experience in modeling the PPA of designs.Familiarity with scripting languages for automating simulation and analysis processes.Preferred QualificationsA Ph.D. in Electrical Engineering, Computer Science, or related field is advantageous.Experience in accelerator design is a plus.Knowledge of highly pipelined designs and multiple-clock-domain designs is preferred.Understanding of machine learning algorithms, compiler technologies, processor design, accelerators, and memory hierarchies.Familiarity with Chisel or RISC-V architectures is an advantage.Contact InformationFor inquiries, please reach out to: recruit@furiosa.ai

Join Furiosa AI as a Software Engineer focused on Developer Experience! In this role, you will collaborate with cross-functional teams to enhance the development workflow, tools, and processes that empower our engineering teams. Your contributions will be pivotal in creating efficient and high-quality software solutions that drive our mission forward.

Key ResponsibilitiesDevelop and maintain test automation solutions to validate NPU hardware and associated software stacks.Enhance efficiency in large-scale evaluation tasks through the maintenance of automation scripts and frameworks.Design solutions for structuring, analyzing, and visualizing evaluation data.Support the operation of testing environments based on CI/CD methodologies.

Key ResponsibilitiesDevelop and implement firmware solutions for Furiosa devices, ensuring optimal performance and reliability.Create and maintain device drivers tailored for Furiosa hardware, enhancing system integration.Establish testing frameworks to ensure the highest quality standards for firmware and device drivers.

Key ResponsibilitiesAssess the Power, Performance, and Area (PPA) metrics of our designs during the chip architecture planning phase.Conduct synthesis, perform logic equivalence checking, develop SDC and UPF, and execute static timing analysis.Collaborate effectively with design houses to ensure optimal project outcomes.

About the TeamThe AI Success Engineer team at OpenAI collaborates with some of the world's most forward-thinking organizations to convert cutting-edge artificial intelligence into significant business outcomes. We support customers from initial deployment to large-scale enterprise integration, encompassing technical integration, workflow transformation, and ongoing product delivery.Our clientele includes rapidly growing digital natives as well as leading global enterprises, government bodies, and educational institutions. Each engagement represents a chance to influence the way AI reshapes work, productivity, and innovation. This pivotal role is integral to that mission.About the RoleAs an AI Success Engineer, you will serve as the primary post-sales contact for a select group of OpenAI's most esteemed clients. Your mission is to enhance account health and adoption, ensure technical readiness, uncover new use cases, and deliver measurable value through OpenAI's platform.This role uniquely combines technical leadership, program management, customer advisory, and product influence. You'll collaborate closely with client teams, analyze workflows, lead configuration and enablement, oversee deployment strategies, and guide clients toward impactful use cases that highlight the full potential of our platform.You will engage with Sales, Solutions Architecture, Product, and Research teams to ensure a seamless and successful customer experience at every touchpoint. Success in this position means accelerating adoption, deepening customer engagement, paving the way for strategic use cases that reach production, and helping our clients showcase tangible business value.

Key ResponsibilitiesCraft and implement a robust end-to-end security architecture tailored for SoC-based products.Develop features for Secure Boot and Anti-rollback mechanisms.Manage Key Provisioning alongside Hardware Root of Trust.Oversee Secure Lifecycle State management (LCS) for firmware, keys, and devices.Design and integrate security modules to enhance firmware and system-level defenses.Conduct thorough vulnerability assessments, attack surface evaluations, and implement memory protection hardening strategies.Integrate, validate, and optimize hardware cryptographic engines including AES/GCM engines, TRNG, PKA, RSA, PQC, and hash accelerators.Establish secure firmware update and rollback protocols along with comprehensive product lifecycle controls.QualificationsDeep understanding of embedded security principles, including Secure Boot, key management, and cryptography.Demonstrated experience with TLS, X.509, ECC, AES, and various cryptographic or security libraries.Proficient in C/C++ or Rust for developing secure system software.Experience identifying and analyzing security vulnerabilities in SoC/FPGA-based systems.Practical experience with hardware cryptographic engines and security IP blocks (e.g., AES/GCM, SHA accelerators, TRNG/DRBG, PKA).Solid understanding of firmware and key lifecycle management.Preferred QualificationsFamiliarity with TPM, HSM, TrustZone, OP-TEE, or related hardware security architectures.Experience in implementing secure firmware signing, provisioning, and deployment pipelines.Background in validating cryptographic engines under standards such as FIPS 140-3, NIST CMVP.Security engineering experience specifically for AI accelerators, networking chips, or SoCs.Contribute to development practices aligned with standards such as FIPS, PSA Certified, CAVP, and CMVP.

Join our dynamic team at Toss as an AI Engineer in the AI Operation Center! You will be part of an innovative team dedicated to building a real-time voice conversation system that interacts with customers, moving beyond traditional text chatbots to actual phone calls. Our AI must navigate various conversational scenarios, including interruptions, context shifts, and silences, to maintain a natural dialogue.This position will expose you to cutting-edge technologies such as LLM, Multi-Agent systems, Automatic Prompt Optimization (APO), and LLM-as-Judge, applied in the challenging environment of customer interactions. You'll be part of a team that doesn’t just stop at reading research papers but actively creates solutions based on real call data.

About Our TeamJoin the innovative AI Deployment Engineering team at OpenAI, where we are committed to the safe and efficient deployment of cutting-edge Generative AI applications for developers and enterprises. As trusted advisors and thought leaders, we collaborate closely with customers to develop a robust backlog of GenAI use cases tailored to their industries, guiding them through to production with expert technical support. In your role as an AI Deployment Engineer, you will empower major corporations to revolutionize their operations through transformative solutions in customer service, automated content generation, and pioneering applications leveraging our state-of-the-art models.About the PositionWe seek a proactive solutions leader with a product-oriented mindset to partner with our clients, ensuring they derive genuine business value from Generative AI. You will collaborate with senior customer executives to craft a strategic GenAI vision and pinpoint the most impactful applications. Additionally, you will work hand-in-hand with their technical teams to transition from prototype to full-scale production. By adopting a comprehensive approach to their requirements, you will design an enterprise architecture utilizing ChatGPT, the OpenAI API, and other services to maximize value for our customers. This position requires close collaboration with Sales, Solutions Engineering, Applied Research, and Product teams, and reports directly to the Head of Technical Success in the APAC region.This role is based in Seoul, South Korea, with a hybrid work model of three days in the office each week. Relocation assistance is available for new hires.Key Responsibilities:Become deeply integrated with our key platform customers as their technical lead, providing guidance and support to develop innovative applications utilizing our API.Collaborate with senior stakeholders to identify optimal applications of GenAI within their sector and establish a thorough backlog to support their AI initiatives.Actively engage to expedite customer time-to-value by creating hands-on prototypes and delivering strategic insights.Build and nurture relationships with customer leadership and stakeholders to facilitate the successful implementation and scaling of their applications.Contribute to our open-source resources for developers and enterprises.Enhance the Solutions Architect function by sharing knowledge, documenting best practices, and publishing resources in our internal and external repositories.Assess, synthesize, and present high-impact strategies that align with customer goals.

The landscape of AI agents is rapidly evolving. While many companies are still determining their direction, we have a clear vision and are seeking a talented individual to help us realize it.About UsDelight.ai is dedicated to shaping the future of customer experience through AI. For over a decade, we have developed robust infrastructure for communication—covering chat, voice, video, and messaging APIs—establishing ourselves as the leading CPaaS platform for in-app communications. Trusted by over 4,000 brands, our platform processes an astonishing 7 billion messages each month, engaging 300 million active users.Our technology has powered customer interactions for industry giants such as DoorDash, Match Group, Noom, Yahoo Sports, and Rakuten. We excel in our field—truly excelling.Recognizing early on that AI would revolutionize business-customer communication, we understood that our decade of infrastructure would soon be commoditized. The real value would shift towards intelligence, enhancing customer experiences and driving outcomes.Faced with a choice to safeguard our existing achievements or evolve, we chose the path of transformation.In December 2024, we pivoted fully to an AI-first approach in customer experience. By February 2025, we had launched our enterprise AI agent, leveraging a decade’s worth of conversation data, now enhanced with advanced intelligence. In November 2025, we rebranded to Delight.ai.Our name encapsulates our mission. The true potential of AI lies not solely in efficiency or cost reduction, but in restoring to customers the invaluable feeling of being genuinely understood and valued. Not merely satisfied—delighted.Our ProductDelight.ai serves as the AI concierge for customer interactions. Unlike typical AI agents that forget users after a conversation ends, our solution builds lasting memory, learns preferences, and maintains context across all channels—whether it’s chat, SMS, email, voice, or WhatsApp—ensuring a seamless experience. Our goal is to create AI that makes customers feel acknowledged, appreciated, and remembered.Why We Need an Applied AI EngineerThe next evolution of AI extends beyond chatbots responding to FAQs. We are developing agents that can reason, retain information, and act proactively and accurately at scale. We need a skilled engineer to construct the underlying framework that will support this innovation.This role merges research with real-world application. You will harness the latest advancements in LLMs, RAG, and agentic systems to create features that enterprise clients rely on daily—not just prototypes, but fully deployed and scalable solutions. Additionally, you will be expected to leverage AI tools within your workflow, automating processes, connecting APIs, and utilizing agentic CLIs to enhance your output, achieving results that far exceed what any individual engineer could accomplish alone.