Applied AI Engineer

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—cov…

About AnthropicAt Anthropic, we strive to develop AI systems that are not only reliable and interpretable but also steerable, ensuring they are safe and beneficial for both our users and society. Our rapidly expanding team consists of dedicated researchers, engineers, policy experts, and business leaders who collaborate to create transformative AI solutions.Your Role as a Product Engineer in Applied AIAs a technical Product Engineer on the Applied AI team, you will serve as a trusted advisor to clients implementing Claude. Your collaboration with customer product and engineering teams will be crucial as they develop and launch innovative products powered by Claude. You will offer guidance on architectural design, create evaluation frameworks, and facilitate the adoption of the latest implementation techniques for large language models (LLMs).Collaboration and SupportWorking in tandem with our Sales, Product, and Engineering teams, you will lead customers through technical discovery and ensure successful deployment. Your blend of engineering acumen and interpersonal skills will empower clients to unlock the potential of LLMs and devise solutions to complex business problems while upholding our commitment to safety and reliability.Key Responsibilities:Act as a technical consultant for Anthropic customers deploying new products and workflows using our models, overseeing their journey from initial discovery to deployment while coordinating across various internal teams to ensure customer success.Collaborate with account executives to gain a thorough understanding of customer product needs and design technical solutions that align with business goals.Provide guidance on architectural decisions, assisting customers in building cutting-edge products and workflows using LLMs through our API.Create tailored pilots, prototypes, and evaluation tools that demonstrate the advantages of integrating our models into customer workflows via our API.Conduct hands-on technical workshops and code reviews with customer engineering teams.Identify prevalent design patterns and share insights with our Product and Engineering teams.Maintain up-to-date knowledge of advancements in LLM capabilities, implementation strategies, and AI product development tools.Occasionally travel to client sites for workshops, implementation assistance, and relationship building.Participate in conferences, deliver presentations, and author blog posts and white papers on relevant AI topics.

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.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of physical AI innovation. Established in 2017 and currently valued at $15 billion, this Silicon Valley powerhouse is developing the essential digital infrastructure required to integrate intelligence into every moving machine globally. Our solutions cater to diverse sectors including automotive, defense, trucking, construction, mining, and agriculture across three primary domains: tools and infrastructure, operating systems, and autonomy. The trust of 18 out of the top 20 global automakers, along with the United States military and its allies, underscores our commitment to delivering cutting-edge solutions. Our headquarters is located in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.At Applied Intuition, we maintain a vibrant in-office culture, with the expectation that employees primarily work from our office five days a week. However, we understand that flexibility is vital, and we empower our employees to responsibly manage their schedules, which may include occasional remote work or adjusting hours to accommodate family commitments.About SeoulSince entering the Korean market in 2020, Applied Intuition has rapidly expanded and forged strategic partnerships with leading Korean automotive OEMs. Our Seoul office, located in Gangnam, boasts a team of over 10 talented individuals hailing from esteemed companies such as LG, Ansys, and Unity.About the RoleThe Global Account Manager plays a pivotal role in our senior sales team, responsible for nurturing, developing, and managing our business relationships with a targeted list of automotive and robotics organizations. This is a unique opportunity to collaborate across various teams locally and internationally.At Applied Intuition, You Will:Engage with both new and existing customers to illustrate how our infrastructure software tools and services can accelerate autonomous vehicle (AV) development.

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.

Join Our Mission to Conquer Cancer Through AILunit, a leading medical AI software company dedicated to transforming cancer care through innovative AI solutions, is seeking a Senior Applied Research Scientist. Our technology aids in cancer detection and treatment outcome predictions, ensuring patients receive timely and personalized care. Team DynamicsYou will collaborate with a dynamic team of AI research scientists and engineers within our Oncology AI Research Department, passionately pursuing meaningful applied research that impacts lives.Our diverse team brings together various cultural backgrounds and expertise, fostering a culture of sharing and collaboration, whether through engineering, model-centric, or data-centric AI initiatives. Position HighlightsYour contributions will directly influence our mission to enhance cancer treatment personalization, with our world-class software utilized in hospitals and pharmaceutical companies globally.Engage in cutting-edge projects encompassing object detection, semantic segmentation, self-supervised learning, and more, leveraging extensive datasets and cloud computing capabilities.Participate in community engagement through publications, blog posts, and public events like machine learning challenges.Grow both personally and professionally by working on diverse projects and collaborating with a talented, multidisciplinary team. Key ResponsibilitiesDesign, propose, and implement advanced AI models that tackle real-world challenges in cancer diagnostics and treatment planning.

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

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.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI, providing the essential digital infrastructure required to equip every moving machine on Earth with intelligence. Established in 2017 and currently valued at $15 billion, this Silicon Valley-based firm serves various sectors, including automotive, defense, trucking, construction, mining, and agriculture, through three primary domains: tools and infrastructure, operating systems, and autonomy. Trusted by eighteen of the world's top twenty automotive manufacturers, as well as the United States military and allied forces, Applied Intuition is headquartered in Sunnyvale, California, with a global presence that includes offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We maintain an in-office work environment, expecting our employees to primarily work from the Applied Intuition office five days a week. We also value flexibility and trust our employees to responsibly manage their schedules, which may include occasional remote work, starting the day with morning meetings from home, or leaving early for family commitments.About SeoulSince entering the Korean market in 2020, Applied Intuition has rapidly expanded its team and forged strategic partnerships with leading Korean automotive OEMs. Our Seoul location, situated in the vibrant Gangnam district, employs over ten talented individuals from prestigious companies such as LG, Ansys, Unity, and more.About the RoleWe are on the lookout for a skilled Application Engineering - Technical Program Manager to lead critical multi-disciplinary engineering initiatives from inception to completion. This role will require strong leadership, communication, planning, and engineering expertise to manage the growing complexity of our product releases and client requests. The ideal candidate will possess extensive experience in guiding complex projects to successful outcomes.

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.

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.

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.