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.

Who We Are:At Cohere, our mission is to amplify intelligence for the betterment of humanity. We are at the forefront of developing and deploying advanced models for developers and enterprises that are revolutionizing AI systems. Our innovations are driving remarkable experiences in content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. We are committed to playing a pivotal role in the widespread adoption of AI technologies.We take immense pride in our work. Each team member is dedicated to enhancing our models' capabilities and delivering exceptional value to our customers. Our culture is centered around diligence and agility, ensuring we consistently prioritize our customers' needs.Cohere comprises a diverse team of researchers, engineers, designers, and more, all of whom are experts in their respective fields. We believe that a broad spectrum of perspectives is essential for creating outstanding products.Join us in our quest to shape the future of AI!Why This Role Matters:We are a rapidly expanding startup focused on creating production-grade AI agents for enterprise clients. We are seeking Applied AI Engineers who will take charge of designing, building, and deploying agentic workflows powered by Large Language Models (LLMs). You will guide the transition from initial prototypes to fully operational AI agents that deliver tangible business benefits within enterprise workflows.In this role, you will engage directly with customers to tackle real-world business challenges, often creating pioneering agent workflows that seamlessly integrate LLMs with various tools, APIs, and data sources. While our pace is fast-paced like a startup, we maintain high enterprise standards: our agents must be reliable, observable, safe, and auditable from day one.You will work collaboratively with customers, product teams, and platform engineers, significantly influencing how we build, evaluate, and deploy agentic systems at scale.Your Responsibilities:Customer-Focused Technical ImpactCollaborate closely with enterprise customers to convert complex, high-stakes business issues into well-defined agentic challenges with clear success metrics and evaluation methods.Provide technical leadership throughout the entire development and evaluation lifecycle, including iterative enhancements post-deployment for agentic workflows.Design, Build, and Launch AgentsLead the design, construction, and delivery of LLM-based agents that reason, plan, and execute across diverse tools and data sources, ensuring enterprise-level reliability and performance.Drive innovation in agentic systems by implementing best practices in deployment and evaluation.

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.

At Upstage AI, we specialize in leveraging AI technology to solve complex business challenges. Our vision, "Making AI Beneficial," and our mission, "Building Intelligence for the Future of Work," drive us to deliver AI products and solutions that enhance productivity through advanced decision-making support and cost reduction. We empower businesses to innovate their processes for more effective growth.Our goal is to democratize AI technology by offering user-friendly AI solutions. We possess cutting-edge OCR technology and Key-Value extraction capabilities for meaningful information retrieval from documents. Recently, we have unveiled a Document Parsing model that analyzes various document layouts. With these advancements, Upstage AI provides tailored AI solutions that maximize operational efficiency and productivity, ensuring AI delivers significant value in real-world business contexts.We also offer Private LLM services optimized for business environments, enabling companies to enhance operational efficiency. Our API series enables easy access to world-class AI models across various sectors, contributing to our clients' business success. Among our offerings, Upstage Document AI stands out with its superior OCR and information extraction capabilities, aimed at automating and streamlining tedious document processes.The AI DevOps team is a core engineering unit focused on designing, building, developing, and operating Upstage's AI products and services to create value for our customers. We are responsible for automating the deployment of AI-based solutions and establishing a stable operational framework, designing delivery pipelines tailored to client environments and developing automation tools and operational standards for efficient deployment and maintenance.Additionally, we foster trust-based technology partnerships by understanding use cases across various industries and resolving client-specific challenges on-site.The AI DevOps team thrives on a culture of continuous improvement and innovation. We apply the latest technologies to solve practical use case problems across different industries, valuing the experience of rapid growth. For instance, to ensure the stable operation of numerous client systems, we develop internal solutions such as deployment automation tools, inspection management tools, and monitoring tools, collaborating with product teams as needed to contribute to product-level enhancements.DevOps is not just an operational unit; it is an engineering organization that technically realizes client business growth, serving as a bridge that connects development, operations, and customer experience. Here, you will find the opportunity to identify essential development and design elements in the ever-evolving AI industry and directly contribute to our clients' business success.

We invite you to submit your CV in English, highlighting your English proficiency level.At Mindrift, we connect talented professionals with exciting project-based AI opportunities for top technology firms, focusing on the assessment, evaluation, and enhancement of AI systems. Please note that participation is project-based and not considered permanent employment.Opportunity OverviewEach project presents distinct tasks; however, contributors might engage in the following activities:Designing innovative computational engineering problems that reflect authentic engineering workflows;Creating problems that necessitate Python programming for engineering calculations and simulations;Ensuring problems are computationally demanding and involve numerical methods or iterative solutions;Developing problems that include system design, optimization, and analysis;Base problems on real-world research challenges or practical engineering applications;Validating solutions using Python with established engineering libraries;Clearly documenting problem statements while providing verified correct answers.Ideal Candidate ProfileThis role is suited for engineers with Python expertise who are open to part-time, non-permanent project work. The ideal candidate will possess:A degree in Electrical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific programming language is also acceptable;A minimum of 2 years of professional experience in applied, research, or teaching environments;An understanding of practical engineering constraints and approximations;Strong written English communication skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Application ProcessSteps include: Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentFor this project, expected task commitments are around 10–20 hours per week during active project phases, depending on specific project requirements. This is an estimate and not a guaranteed workload.Compensation DetailsContributors can earn up to $37 per hour, contingent upon their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Note that other platform projects may present different earning levels based on their specific requirements.

We invite you to submit your CV in English, including your proficiency level in the language.At Mindrift, we specialize in connecting experts with project-based AI opportunities in collaboration with leading technology firms, centering on the testing, evaluation, and enhancement of AI systems. Note that participation is project-based and not aimed at permanent employment.Project OverviewEach project presents unique challenges, and contributors may be tasked with:Designing innovative computational engineering problems that mimic genuine engineering workflows;Creating challenges that necessitate Python programming for engineering calculations and simulations;Ensuring that these problems are computationally demanding, requiring numerical methods or iterative solutions;Developing problems related to system design, optimization, and analysis;Grounding problems in actual research challenges or practical engineering applications;Verifying solutions through Python, utilizing standard engineering libraries;Documenting problem statements with clarity and providing verified accurate answers.Qualifications We SeekThis role is ideal for engineers with Python experience who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Process OverviewStep 1: Apply → Step 2: Pass qualifications → Step 3: Join a project → Step 4: Complete tasks → Step 5: Get compensated.Project Time CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, based on project requirements. This is an estimate and does not guarantee a fixed workload.Compensation DetailsContributors can earn up to $37 per hour, depending on their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required skills. Please note that other projects may offer different earning levels based on their specific requirements.

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.

toloka-ai seeks a freelance AI trainer with experience in civil engineering and Python programming. This contract position is remote and open to candidates based in South Korea. Key responsibilities Apply civil engineering expertise and Python skills to train and support AI systems Contribute to maintaining high quality standards for AI solutions Who will thrive in this role This role suits those who blend technical knowledge with a genuine interest in technology and education. It offers an opportunity to play a part in advancing artificial intelligence.

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.