Simple AI jobs

Senior AI Machine Learning Engineer 4 Locations posted: Posted 24 Days Ago

Staff Engineer, Modeling & Simulation (R4869) San Diego, California Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Aircraft Simulation team turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline-deterministic aircraft and mission simulation, HITL/SITL integration, CI/CD, and tooling for automated flight qualification testing. Our goal is simple: make AI fly-safely, reliably, and fast. As a Staff Modeling & Simulation Engineer, you will be dedicated to Shield AI's next-generation aircraft program, contributing to our emergent modeling & simulation tooling. You'll design, build, and scale novel aircraft subsystem models, develop infrastructure that enables robust automated testing for our next generation XBAT product line, and conduct system performance analysis. Job Description: The Aircraft Simulation team turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline-deterministic aircraft and mission simulation, HITL/SITL integration, CI/CD, and tooling for automated flight qualification testing. Our goal is simple: make AI fly-safely, reliably, and fast. As a Staff Modeling & Simulation Engineer, you will be dedicated to Shield AI's next-generation aircraft program, contributing to our emergent modeling & simulation tooling. You'll design, build, and scale novel aircraft subsystem models, develop infrastructure that enables robust

Senior Design Manager — AI Private Banker USA, Palo Alto About Us Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Bank. Visit our institutional page https://international.nubank.com.br/careers/ About the role We're building the next evolution of Nubank: an AI-powered private banker that helps millions of people navigate their financial lives with intelligence, empathy, and trust. As Sr Design Manager, you'll lead a team of designers and writers crafting this experience - shaping how customers interact with our AI advisor, how trust is earned, and how complex insights become simple, actionable, and human. But You're no longer just building for the AI Private Banker vertical - you're establishing the foundational experience systems that will power AI across Nubank, while ensuring alignment with the broader Magic App vision (Nubank's next-generation unified app experience). In this context, you'll help define the design vision, systems, cultural anchors and rituals that make this product feel unmistakably Nubank: clear,

PhD Student Intern - AI Research Country Singapore | Internal Posting Location Singapore We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. We help the world run better At SAP, we keep it simple: you bring your best to us, and we will bring out the best in you. We are builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what is next. The work is challenging - but it matters. You will find a place where you can be yourself, prioritise your wellbeing, and truly belong. What is in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll do As a PhD Intern you will work with a team of experienced researchers and applied scientists taking on challenges informed by scaling AI methods across and beyond the broad portfolio of SAP's business software. Conduct state-of-the-art research on AI agent improvement, including reinforcement learning approaches

SAP iXp Intern - Software Developer (Agentic AI & LLM systems) Country Canada | Internal Posting Location Montreal We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build The SAP Internship Experience Program is SAP's global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers. This is more than an internship, it's the foundation for a career built on connection, creativity, and impact. Position title: SAP iXp Intern - Software Developer (Agentic AI & LLM systems) Location: Montreal, Canada Expected start date to end date: June 2026 - December 2026 We are looking for a high-performing Software Engineering Intern to help us move beyond simple chat interfaces into the world of Autonomous AI Agents. You won't just be "prompt engineering"; you will be building the systems, tool-integration layers, and reasoning loops that allow AI to execute complex, multi-step workflows. Collaborate and innovate with Product, Design and other engineering teams to deliver a seamless, consistent and engaging user experience

Software Development Manager III, Simple Email Service Dublin, IRL Amazon Simple Email Service (SES) is on a mission to revolutionize email experiences for our customers and their end users. We are at the forefront of creating richer, more engaging email functionalities, innovating at every step to provide a seamless, unified experience. In the SES team, you will be responsible for a fast-growing program with broad-reaching and a service wide impact. As a member of the SES engineering team, your job will allow you to work with customers and other technology leaders at Amazon to help translate strategic business needs into features and projects. You will then work with your team to deliver those features and projects more quickly than many people may think is possible. We are seeking a hands-on engineering manager for a mid-sized team, with the experience and familiarity in designing, building, and operating large-scale web, fault-tolerant, and distributed systems. You will be leading a team of SDEs and directing their work to ensure the team delivers the right quality, functions, and features required for the latest in email technology. Leaders in this role are expected to model the responsible use of AI in planning and operations, reinforce mechanisms that embed intelligent tooling into day-to-day engineering practices, and coach teams to apply AI-first problem-solving mindsets while maintaining high judgment, operational rigor, and ownership of outcomes. Leadership and Culture-Building: As a leader, you'll cultivate a culture of creativity and openness. Your decisions will guide the team's direction, encouraging innovation

Senior Machine Learning Research Engineer San Francisco, California, United States About David AI David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Machine Learning team Our Machine Learning team sits at the intersection of cutting-edge research and production systems, transforming raw audio into high-signal data for leading AI labs and enterprises. We own the full ML lifecycle - from researching novel speech processing algorithms to deploying models processing terabytes of audio daily. About this role As a ML Research Engineer at David AI you'll build cutting-edge speech and audio models, production inference systems

Staff Product Designer - Enterprise Access Toronto, Ontario, Canada Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta is looking for a talented Staff Product Designer (you!) who shares our passion for bringing simple, yet powerful product experiences to our enterprise admins. At Okta, we're building a world where anyone can safely use any technology, and we're specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our customers' workforce and users, but to ask, “what more can we make possible?” Which is where you come in! ​​As a Staff Product Designer for Okta, you'll work with a globally distributed design team to apply your craft and expertise on a range of products and services. Our culture provides the opportunity to explore the technologies we're researching and investing in. Some of your work will be functional, practical user experience design, where you will help our design team drive cohesive user experience across Okta's portfolio of products.

Machine Learning Engineer Remote About HappyRobot HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for global enterprises worldwide. Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto. About the Role You'll be building AI models that make human-like conversations possible. You'll work at the intersection of speech, language, and intelligence, taking cutting-edge research and transforming it into real-time, scalable systems that power our core products. You'll have the unique opportunity to make a huge impact as one of our first ML hires, shaping not only the technology but also the direction of our company. From designing robust models to deploying them in production, you'll own the entire lifecycle of ML systems and help us stay ahead of the curve in AI innovation. About the Role - Design, build, and maintain scalable ML systems - from data ingestion and preprocessing to training, testing, and deployment. - Develop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability

Senior Engineer, XBAT Simulation Modeling (R4546) (TX/SD/BOS) Dallas, Texas Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. JOB DESCRIPTION: The Aircraft Simulation team turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline-deterministic aircraft and mission simulation, HITL/SITL integration, CI/CD, and tooling for automated flight qualification testing. Our goal is simple: make AI fly-safely, reliably, and fast. As a Senior Modeling & Simulation Engineer, you will be dedicated to Shield AI's next-generation aircraft program, contributing to our modeling and simulation tooling pipeline. You'll design, build, and scale novel aircraft subsystem models, develop infrastructure that enables automated testing for our XBAT product line, and perform verification and validation of simulation pipelines. You will also conduct system performance analysis to evaluate expected and actual flight and mission performance using simulation tools and publish results for consumption by customers. JOB DESCRIPTION: The Aircraft Simulation team turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline-deterministic aircraft and mission simulation, HITL/SITL integration, CI/CD, and tooling for automated flight qualification testing. Our goal is simple: make AI fly-safely, reliably, and fast. As a Senior Modeling & Simulation Engineer, you will be dedicated to Shield

Machine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI San Francisco, CA; New York, NY AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: - Build, profile and optimize our training and inference framework. - Post-train state of the art models, developed both internally and from the community, to

Principal Engineer, AI Systems Bay Area, CA, United States of America Block builds simple, powerful tools that make progress towards an economy that's truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone. Join us. The Role Block is building toward one of the most ambitious technical visions in our history: an AGI-enabled entity that fundamentally transforms how we deliver economic empowerment. We're assembling a world-class team of AI experts to design and ship autonomous agents and agentic workflows that operate across Square, Cash App, and the broader Block ecosystem. This work is about creating solutions-you'll be building AI that acts, decides, and completes real tasks for real users from across all of Block's business functions. As a Principal Engineer, you'll join as a senior individual contributor with significant technical leadership responsibilities. You Will Ship, architect, build, and own end-to-end delivery of autonomous agents and agentic workflows that deliver real business value for Block, ensuring reliability, safety, and performance at scale Design agent orchestration systems including planning, tool

Machine Learning Research Engineer, Agents - Enterprise GenAI San Francisco, CA; New York, NY AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As an Agent MLRE, you will be working on applying our Agent RL Training + Building algorithms to real life enterprise datasets across our clients + benchmarks. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: - Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers. - Research cutting edge algorithms to integrate directly into our training stack. - Build agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets - including defining highly performant

AI Machine Learning Engineer Houston, Texas posted: Posted 30+ Days Ago

Enterprise Account Executive United States About SnapLogic SnapLogic is the Agentic Integration Company, integrating AI, data, applications, and microservices into one powerful platform that transforms how enterprises connect, automate, and scale. Unlike legacy integration tools, SnapLogic is built for the AI era and trusted by global leaders, including AstraZeneca, Adobe, Verizon, Epsilon and Sony. With its industry-leading platform, SnapLogic empowers every team across the enterprise to securely build faster, smarter, AI-connected workflows - all through natural language and intuitive low-code design. Join the Agentic Integration movement at snaplogic.com. The Role: The Senior Enterprise Account Executive is a sales role that requires tact, credibility, energy, and drive. The successful candidate has a history of exceeding sales. You have grown an impressive pipeline of business as a result of outbound prospecting, creativity, and simple hard work. You also have experience navigating through complex organizations and selling to multiple decision-makers, including the C Suite. A successful candidate will have demonstrated success in strategic account “land and expand” enterprise sales with a technical flair. The Role: The Senior Enterprise Account Executive is a sales role that requires tact, credibility, energy, and drive. The successful candidate has a history of exceeding sales. You have grown an impressive pipeline of business as a result of outbound prospecting, creativity, and simple hard work. You also have experience navigating through complex organizations and selling to multiple decision-makers, including the C Suite. A successful candidate will have demonstrated success in strategic account “land and expand” enterprise sales with a

Senior ML/AI Modeler, Risk Automation Machine Learning Seattle, WA, United States of America Block builds simple, powerful tools that make progress towards an economy that's truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone. Join us. The Role The Risk Automation ML team automates Risk and Compliance investigations and decision making at Block through the application of agentic and generative AI technology. We work globally with partners in Product, Engineering and Operations to ensure that we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform. We are leveraging agentic and generative AI as an integral part of our toolkit to fulfill our mission. Block's machine learning systems monitor billions of payment transactions across traditional payment and blockchain networks and surface suspicious activity (fraudulent, suspicious, illegal activity and brand violations) for trained Operations analyst review and decisioning. We are leveraging generative AI to accelerate historically manually intensive analyst workflows; by adding features in the investigative UX to accelerate agent

Senior AI Engineer, Unstructured AI New York, New York, USA Joining Collibra's Unstructured AI Team - Work at the forefront of context engineering - shaping how AI systems retrieve, structure, and leverage context to deliver accurate, high-quality results at scale. - Own end-to-end technical delivery of Unstructured AI systems - from feature prototype to stable production across enterprise environments. - Build and scale full-stack systems that ingest, process, and enrich large volumes of unstructured content from distributed enterprise silos (PDFs, contracts, reports, and other document types). - Collaborate with the Best: Work closely with xYC Founders to understand complex business challenges and deliver Deasy to solve them. Be part of a dynamic team where ideas flow freely and creativity thrives. - Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Share knowledge and lead by example to maintain high building standards. This is a hybrid role based in our New York office. Our hybrid model means you'll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team. Senior AI Engineer at Collibra are responsible for - Shipping complex systems under ambiguity - balancing speed and precision in real environments. - Writing and reviewing production-grade code across backend (Python, FastAPI). - Building/deploying document-processing systems that handle large-scale, unstructured data environments. - Integrating data from diverse enterprise data sources (e.g., SharePoint, Salesforce, or internal APIs)

AI Senior Software Engineer Region Europe | Country Romania | Internal Posting Location Bucharest We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. We Help the World Run Better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and

Agentic AI Engineer Hyderabad posted: Posted 30+ Days Ago

Lab Engineer, Frontier AI & Robotics San Francisco, California, USA Join our Frontier AI & Robotics team to support the hardware integration of next-generation robotic systems that will transform how robots perceive and interact with the world. You'll take ownership of hands-on hardware assembly, software integration, and system validation tasks across advanced actuators, precision sensors, and robotic subsystems - ensuring they work seamlessly together to support breakthrough AI research and real-world deployment. Key job responsibilities - Assembly, Integration & DFx - Assemble and integrate robotic hardware (actuators, sensors, vision systems, machined components). Execute assembly processes and test protocols developed with engineering. Provide DFM/DFA feedback and perform simple mechanical/electrical/software design tasks; support integration/debug and partner with engineers to optimize manufacturability and testability. - R&D Prototype Test & Validation - Validate hardware revisions, verify mechanical assemblies, power sequencing, communication interfaces, and peripherals during bring-up. - Debugging & Failure Analysis - Troubleshoot and root-cause issues across the robotic platform (power, compute, comms, actuators, sensors). Conduct failure analysis from component to system level. Reproduce critical failures, interpret schematics, and bridge communication between the lab and engineering teams. - Technical Documentation - Author and maintain runbooks, failure analysis reports, assembly guides, and troubleshooting guides; uphold consistent documentation standards across the lab. - Mechanical Design Support - Perform simple R&D design tasks and test fixture design in CAD, ensuring quality and alignment with engineering priorities. - Lab Operations Support - Support machine shop capabilities, equipment maintenance, inventory management, vendor coordination, and safety/regulatory compliance. - Test Capability

Machine Learning Engineer San Francisco About the Role Together AI is looking for an ML Engineer who will develop systems and APIs that enable our customers to perform inference and fine tune LLMs. Relevant experience includes implementing runtime systems that perform inference at scale using AI/ML models from simple models up to the largest LLMs. Requirements - 5+ years experience writing high-performance, well-tested, production quality code - Bachelor's degree in computer science or equivalent industry experience - Familiar with LLM inference ecosystem, including frameworks and engines (e.g. vLLM, SGLang, TRT, ...) - Demonstrated experience in building large scale, fault tolerant, distributed systems like storage, search, and computation - Expert level programmer in one or more of Python, Go, Rust, or C/C++ - Experience implementing runtime inference services at scale or similar Responsibilities - Design and build the production systems that power the Together Cloud inference and fine-tuning APIs, enabling reliability and performance at scale - Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world - Analyze and improve efficiency, scalability, and stability of various system resources - Conduct design and code reviews - Create services, tools & developer documentation - Create testing frameworks for robustness and fault-tolerance - Participate in an on-call rotation to respond to critical incidents as needed About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we

SAP BTP Architect with AI orientation Country Mexico | Internal Posting Location Mexico City We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Profile description The actual market trends and technology evolution put AI at the center of any new initiative of our customers. SAP Strategy with AI First, Suite First put AI as a priority for our new Consultants. BTP is the platform to extend, add innovation and embed AI in the Suite while maintaining the Core clean and the BTP Architect with AI orientation is a new business - technical profile that should have all the BTP technical skills to do that and the soft skills to analyze customer business processes and industry trends and boost the transformation to the adoption of agentic AI business processes. Expectations and tasks Review traditional business processes and identify opportunities to improve them by embedding AI/Agentic AI Ability to translate business processes into AI-driven solutions combining SAP BTP services, data, and user experience (Fiori/Joule/Mobile) Responsible for implementing solutions based

Senior AI Operations (AI Ops) Engineer Palo Alto, CA At Navan, we aren't building a single, generic chatbot. We are building a Composable AI Microservice Architecture , a swarm of hundreds of hyper-specialized AI services, each meticulously "programmed" to solve small, focused tasks with high precision. This fleet powers Ava , our AI support engine, and a suite of cutting-edge generative tools for travel and expense management. As a Senior AI Operations (AI Ops) Engineer , you are the architect of the platform that makes this scale possible. You will move beyond traditional MLOps to manage a "factory" of Language Models. Your challenge is one of orchestration and standardization, ensuring that every service in the swarm meets a rigorous bar for quality, reliability, and cost-efficiency. What You'll Do Orchestrate the AI Fleet: Build and own the runtime environment for 100+ specialized AI services. Manage model routing, context versioning, and standardized memory/history stores. High-Density Inference Optimization: Design and implement SageMaker Multi-Model Endpoints (MME) and Inference Components to serve multiple tuned SLMs per GPU, maximizing hardware utilization while minimizing latency. Deterministic Service Excellence: Treat reliability as a layered engineering problem. Build deterministic "shells" around probabilistic LM outputs, prioritizing data-layer validation and strict serialization. Automated Evaluation & Observability: Implement "LLM-as-a-judge" patterns and automated benchmarking to detect semantic drift and hallucinations across the fleet before they impact the user. Standardize the Workflow: Obsess over building reusable patterns and Terraform-based infrastructure that eliminate "snowflake" configurations, allowing us to deploy new specialized AI tasks in minutes.

iXp AI Research Student Region Europe | Country Denmark | Internal Posting Location Copenhagen We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build: We are looking for a hands-on researcher, who will be responsible for the conducting research in artificial intelligence, machine learning, deep learning, natural language processing, computer vision, or other related AI domains that enhance or extend the reach of Value Engineering Solutions. Support the design, development, and implementation of AI algorithms, models, and systems under the guidance of Product owner. Contribute to experimentation with various AI techniques, and analysis of results. Help in reviewing relevant AI research literature and summarizing key findings. Participate in the research lifecycle, from problem definition to the development of research prototypes. Assist in defining AI model requirements, data needs, and evaluation metrics for AI-driven features. Support the monitoring of AI model performance in production and identify opportunities for optimization. Collaborate with engineers on ongoing AI projects, contributing to team discussion