Senior AI Engineer (Core Engine)

RIVR

RIVR, part of Amazon is a robotics company pioneering Physical AI through real-world doorstep delivery. Founded in 2024 as an ETH Zurich spin-off, RIVR developed wheeled-legged robots designed to operate in complex, unstructured environments such as stairs, gates, doors, and uneven urban terrain. We believe that achieving general physical intelligence requires solving real customer problems in the real world, where robots can learn from rich operational data at scale. Following our acquisition by Amazon in March 2026, we are continuing this mission with greater reach and speed. By combining custom robot hardware, onboard autonomy, and cloud-based coordination, RIVR, part of Amazon is building the next generation of safe, reliable autonomous robots for last-mile delivery Job Description   Our global fleet of autonomous robots  operates in the real world, generating vast amounts of multi-modal sensor data. While our VLA team focuses on building large-scale models to consume this data, much of it remains unlabeled and unstructured. We are seeking an expert in self-supervised and representation learning to unlock the full potential of this massive data pool.   In this role, you will be responsible for designing and building the core data engine that transforms raw, real-world sensor data into high-signal, structured datasets suitable for training neural networks. You will pioneer methods to automatically curate, filter, and pseudo-label this data, creating powerful representations that serve as the foundation for all downstream tasks, including navigation, imitation learning, and decision-making.    You will work directly with the VLA and Reinforcement Learning teams to define data strategies and interfaces, ensuring the data you produce directly accelerates their model development. If you are passionate about solving the "data bottleneck" in robotics and want to build the systems that learn meaningful patterns from the physical world, we invite you to join us.    

Amdaris

We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.  ABOUT THE PROJECT We are building production-grade agentic content workflows for English Language Learning. The platform uses AI agent architectures to generate and validate educational content at scale, serving multiple products across the organization. The team owns the end-to-end lifecycle: workflow design, LLM orchestration, evaluation, and production operations. ABOUT THE ROLE We are looking for a senior AI engineer ready to work at the heart of production AI systems. You will contribute directly to two core services: Conversation Brain, an LLM-driven conversation engine, and Ambient ORA, a speech assessment engine powering multiple products across Pearson. The role sits at the intersection of product engineering and AI science, bridging research outputs from the R&D team into production-grade services. KEY RESPONSIBILITIES * Design, develop, and optimize AI-driven content generation workflows. * Contribute directly to our codebases, building and maintaining agentic workflows using Python (FastAPI, CrewAI, LangGraph, LangChain) and Go where needed. * Build and maintain agentic workflows using CrewAI, LangGraph, and LangChain. * Ensure code quality through unit and integration tests written as part of the development workflow, in line with our shift-left approach where developers own test creation. * Operationalize AI models in collaboration with the AI R&D. * Implement LLM observability and evaluation using Langfuse, OpenLit, and New Relic. * Design and run LLM evaluation benchmarks and regression detection. * Integrate and manage resources across Azure (Container Apps, Service Bus, Blob Storage) and AWS. * Ensure robust CI/CD pipelines and contribute to SDLC best practices. * Package, deploy, and scale applications using Docker; Kubernetes experience is a plus. REQUIRED SKILLS & QUALIFICATIONS * Strong Python development skills (FastAPI) and hands-on experience with agentic and LLM frameworks (CrewAI, LangGraph, LangChain, or equivalent). * Production experience with LLMs, including prompt engineering, model evaluation, and operationalizing research outputs into production services (Azure OpenAI, Google Vertex AI). * Practical experience with Azure services (Container Apps, Service Bus, Key Vault, Blob Storage) and familiarity with AWS. * Experience with LLM observability and monitoring tools (Langfuse, OpenLit, New Relic, or equivalent). * Solid grasp of CI/CD, DevOps, and SDLC. Working knowledge of Docker, with k8s experience as a plus. * Familiarity with ML/NLP tooling (PyTorch, Hugging Face Transformers, spaCy, scikit-learn) a strong plus. * Daily user of AI development tools (Cursor, Claude Code, Copilot). * Fluent English, spoken and written. * Nice to have: Working knowledge of Go, with the ability to read, modify, and maintain existing Go services. BENEFITS * You will work with amazing teammates from across Europe. * Take a leading role in our newly-established Bulgarian center, contributing to the foundation of our future. * Our Sofia office is right in the center, ensuring that everything you need is close by. * Monthly transport allowance and enjoy the convenience of a dedicated parking area at the office. * Enjoy 25 days of paid leave, we make sure you have plenty of time to relax and recharge. * We've got you covered with additional premium health insurance and dental care, to keep you and your family protected. * We offer food vouchers and to add a little extra you can enjoy complimentary meals in the office. * Fully covered Multisport card that gives you access to a variety of fitness options to keep you active and feeling great. * We support your growth with certifications and courses that help you advance your career. * Join us for Social Events, Informal Office Gatherings and Team-building activities with your colleagues, where we celebrate our achievements together. * We'll work with you on an individual plan to help you reach your career goals. * Benefit from our coaching and mentorship programs, technological and professional guilds that offer guidance and support for your career journey. * Participate in various social initiatives, contributing to causes that matter to you. * Use our online platform, dedicated to your well-being and mental health. * Enjoy the flexibility of our Work Abroad Policy, letting you work from another European country for a period of time. * Refer a Friend, Get Rewarded. To see more roles, click here.

Isomorphic Labs

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.  Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.    ABOUT ISO Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.   YOUR IMPACT  As a Senior AI Security Engineer at Isomorphic Labs, you will operate at the absolute frontier of Artificial Intelligence and Cybersecurity. Reporting directly to the CISO, your mission is to architect, secure, and future-proof our pioneering AI-first platform and autonomous agentic workflows that drive the next generation of drug discovery pipelines. In this high-impact role, you will design custom risk management frameworks tailored to the unique threat landscape of AI in life sciences, establish strict governance over critical model artifacts, and embed seamless security controls directly into distributed training and inference infrastructure. You will serve as the technical anchor bridging machine learning engineering, platform architecture, and adversarial defense. Operating in a fast-moving, high-stakes environment, you will lead AI-specific incident response and pioneer model-driven defense mechanisms to automate threat hunting and mitigation. Your work will ensure that breakthrough scientific research is paired with an uncompromising, resilient defense safeguarding invaluable intellectual property while accelerating our innovation velocity. WHAT YOU WILL DO * Adversarial Threat Modeling: Conduct cutting-edge threat modeling focused on AI/ML vulnerabilities, engineering a comprehensive risk management framework tailored to an AI-powered life sciences platform. * Model Artifacts Protection: Partner with AI teams to establish a granular inventory, classification and protection framework for ML models’ weights, code, and training data. * Agentic AI & LLM Guardrails: Design and deploy scalable guardrails, robust sandboxing, and real-time monitoring controls for our extensive LLM ecosystem, including ADK, MCP, and autonomous agentic workflows. * Collaborative Security Engineering: Partner with ML researchers and platform engineers to design and implement robust security controls across the entire ML lifecycle—from data ingestion and training pipeline integrity to inference runtime controls. * Model-Driven Incident Response: Act as the primary technical expert for AI security incidents, deploying advanced machine learning techniques to automate threat hunting, anomaly detection, and signatureless mitigation specific to LLMs. * Compliance & Governance Automation: Bridge the gap between complex AI architectures and emerging global regulations (e.g., EU AI Act) by automating risk posture monitoring and continuous compliance metrics. * AI Safety Frameworks: Pioneer the practical implementation of Isomorphic Labs' AI Safety standards, working in close coordination with Legal, Compliance, and external partners like Google DeepMind.   SKILLS AND QUALIFICATIONS  ESSENTIAL * AI/ML Engineering: Deep conceptual and practical understanding of deep learning frameworks (e.g., JAX, PyTorch, TensorFlow), large-scale cloud training or inference infrastructure, and LLM ecosystems. * Adversarial ML Mindset: Strong familiarity with AI security threat vectors (prompt injection, model inversion, data poisoning) and frameworks like OWASP Top 10 for LLMs or MITRE ATLAS. * Agentic Frameworks Security: Proven experience securing agentic frameworks (ADK, MCP), agentic first infrastructure and implementing robust agent-to-agent (A2A) identity and access controls. * Infrastructure Security: Solid proficiency in cloud platform security (GCP preferred), including container security, multi-cloud/SaaS integrations, and strict network isolation boundaries. * Pragmatic Risk Assessment: Proven ability to define and execute pragmatic mitigation strategies that balance a rigorous security posture with the high-velocity needs of a world-class scientific research organization. * Software Development & Automation: Ability to write production-grade code (Python preferred) to build custom security tooling, automate telemetry collection, or enforce policy layers. * Translational Communication: Exceptional skills in navigating ambiguity, building trusted relationships with AI researchers, and clearly translating complex machine learning risks into actionable engineering tasks for leadership. NICE TO HAVE * AI Red Teaming: Experience conducting empirical vulnerability research or executing simulated attacks against LLMs, agent networks, and core ML backends. * Regulated Environments: Prior exposure to BioTech, Pharma, and/or Deep Tech industries where data integrity, intellectual property protection, and regulatory compliance (GxP) are paramount. * Education & Background: BSc, MSc, or PhD in Computer Science, Machine Learning, Cybersecurity, or a related quantitative field. * Advanced Certifications: Relevant security or cloud credentials (e.g., OSCP, Professional Cloud Security Engineer) or specialized training in ML security. CULTURE AND VALUES We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.  Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. CREATING AN EXTRAORDINARY COMPANY We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. HYBRID WORKING It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy. >> Click to view other open roles at Isomorphic Labs