Production Line Management Engineer Jobs

Opportunity Overview: We are seeking a Senior Software Engineer - AI to join our Engineering team. In this role, you will build the intelligent agents and applications serving health insurance plans covering over 15 million people. You'll partner closely with product, data science, and clinical teams to build the foundation that transforms how clinical intelligence is delivered at scale. This is an opportunity to make a direct impact on healthcare outcomes while working with modern technologies in a fast-paced, collaborative environment. What you’ll do: Agent Development : Participate in the development, evaluation, and deployment of Cohere’s AI-powered agents and applications. Data & Retrieval Architecture : Design data and retrieval architectures that give AI agents the right context across diverse healthcare sources. Hands-On Engineering : Design, review, and own high-quality agentic code — leading releases, production deployments and on-call support. Cross-Functional Collaboration : Work closely with ML/DS teams, product teams, and architects to understand requirements and ensure systems meet business needs. Security & Compliance : Ensure all agentic components comply with healthcare security and privacy regulations (e.g., HIPAA) and adhere to industry best practices for security. Agile Development : Contribute to sprint planning, execution, and retrospectives, driving efficiency and velocity within the engineering team and collaborating closely with stakeholders to align with product goals and business priorities. ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. Required Qualifications: Must-haves Bachelor’s degree

Band 7 Sonographer - Obs & Gynae - Permanent • Position: Obs & Gynae Sonographer • Banding: 7 • Location: Limerick, Ireland • Start: ASAP • Rate: €65000-€70000/annum We are seeking a highly skilled Band 7 Obs & Gynae Sonographer to join our team in Limerick, Ireland. This role offers a competitive pay rate of €65000-€70000 per hour, with working hours from 0900-1700. The position is permanent and an excellent opportunity for a dedicated sonographer to work in a dynamic healthcare environment, providing top-notch diagnostic imaging services. Responsibilities: As a Band 7 Obs & Gynae Sonographer, you will perform a variety of general ultrasound scans to support the diagnosis and treatment of patients. You will operate advanced ultrasound equipment, ensuring the production of high-quality images and detailed reporting. Your role involves maintaining patient comfort and safety during procedures, adhering to established protocols, and collaborating with a multidisciplinary team to ensure seamless service delivery. Additionally, you will contribute to the department’s quality assurance and continuous improvement efforts. Requirements: Degree in Diagnostic Radiography or equivalent qualification with a postgraduate diploma in Medical Ultrasound. Current registration with the CORU. 5 years' experience in Obs & Gynae ultrasound imaging, preferably at Band 7 level. Proficiency in operating advanced ultrasound equipment. Strong knowledge of ultrasound safety standards and best practices. Excellent communication and interpersonal skills. Ability to work independently and manage time effectively. Commitment to delivering high-quality patient care and ongoing professional development. Flexibility to adapt to different working hours as required. Why work with Pulse? From the moment you register with us, our focus is entirely on you. During our first conversation, you’ll quickly see that we understand your specialty inside and out. Our expert recruitment consult

As organizations rapidly adopt AI applications and agentic systems, security teams need visibility and control over how these technologies are being used. Datadog's AI & Data Security product helps customers discover, secure, and govern AI usage across their environments ensuring sensitive data is properly managed from model training through production. As a Product Manager II for AI & Data Security, you will own capabilities for AI discovery, posture management, and data security; giving customers complete visibility into their AI applications, agents, and enabling ecosystem, with prioritized actions to operate AI systems securely. You'll partner with engineering, design, security research, and GTM teams to define and ship platform capabilities that help organizations adopt AI at scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the roadmap for AI & Data Security capabilities, including AI and data discovery & posture management. Define how security teams can assess and manage the security posture of AI-enabled systems, including configuration risks, sensitive data exposure, and policy violations. Work closely with engineers and designers to deliver new product capabilities end-to-end, from early concept through launch and iteration. Partner with Datadog security researchers to identify emerging risks in AI systems and translate them into actionable product features. Engage with customers to understand how they are adopting AI and validate solutions that help them operate these systems securely. Collaborate with go-to-market teams to enable adoption and communicate the value of AI security capabilities to customers. Who You Are: You have 3+ years of product management experience building technical products, ideally in security,

About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. In this role, you will: Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospect

CSQ427R171 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: 7+ years of experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical exp

A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO • Build software used to support global trading across time zones • Work closely with business users to establish and refine requirements • Participate in identifying new technologies to continuously improve software systems • Implement DevOps practices within the team (GitHub/GitLab, Jenkins) • Provide production support to diagnose and resolve elevated application software production incidents and implement proactive remediation measures WHAT’S REQUIRED • Bachelor’s degree in computer science or another technical/scientific field • Minimum 8 years object-oriented programming experience with C#/.NET • Significant experience working with / understanding databases - primarily MS SQL Server • Must have experience in writing automated tests, unit tests, Test-Driven Development • Knowledge of design/architecture patterns, distributed systems, microservices, observability and monitoring, and containerization (Docker) • Willingness to work as part of a distributed Dev Team - 3 time zones (USA, Poland, India) • Strong problem solving and analytical skills • Exceptional verbal and written communication skills • Commitment to the highest ethical standards WE TAKE CARE OF OUR PEOPLE We invest in our people, their careers, their health, and their well-being. When you work here, we provide: • Health care benefits • Maternity, Adoption & related leave policies • Generous paternity and family care leave policies • Employee Assistance Prog

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Join our dynamic team at Micron as an Operations Improvement Engineer in Boise, ID, where you will play a pivotal role in advancing our manufacturing processes. This outstanding opportunity allows you to apply your expertise to drive outstanding operational efficiency and deliver flawless results that compete on a world-class level! Responsibilities: Identify and implement innovative solutions to optimize Fab processes and eliminate inefficiencies, with a focus on automated production movement systems. Collaborate with Fab Operations, IT, and cross‑functional Operations Improvement teams (Automation, Scheduling, Applications) to deliver scalable, high‑impact automation solutions Define and deliver a decision‑support and workflow automation framework that blends human expertise with analytics and AI/ML. Partner with management to deliver data analysis, advanced production web reports, and applications that improve production metrics. Build and lead automation projects that eliminate manual operations tasks, reducing effort, shortening cycle time, accelerating root‑cause analysis, and improving decision quality. Ensure compliance with safety policies and regulations and report any safety-related concerns immediately. Minimum Qualifications: MS in Industrial Engineering, Mechanical Engineering, Computer Science, or Data Science. Hands-on experience designing, querying, and optimizing relati

Zoox is looking for a Senior Signal Integrity and EMC Engineer to ensure the electrical reliability, signal fidelity, and compliance of our complex autonomous vehicle systems. In this role, you will own the end-to-end strategy for vehicle-level signal integrity, RF/wireless performance, and EMC. You will work within a multi-disciplinary engineering team to set rigorous requirements and ensure best practices are implemented from concept to production. You will serve as the domain expert on a variety of high-speed digital and RF design topics that bring our hardware to life safely and reliably. In this role, you will: Lead the development, implementation, and validation of vehicle-level signal integrity, grounding, and shielding strategies. Maintain rigorous technical requirements and EMC specifications applied across all electrical and electronic systems on all vehicle platforms. Define and maintain vehicle-level RF performance requirements, establishing specifications for all transmitters, receivers, and antenna systems to mitigate the electromagnetic impacts of physical vehicle installation on wireless communication. Perform and/or oversee signal integrity and power integrity (SI/PI) simulations and analysis for critical high-speed interfaces and power distribution networks. Simulate RF performance of all antennas, transmitters, and receivers as installed in a vehicle during the vehicle design phase to drive integration alignment. Collaborate with cross-functional design teams to ensure best practices for signal integrity, RF design, and EMC are implemented. Lead design reviews to identify and remediate vulnerabilities early to meet project milestones. Develop and execute validation plans for vehicle-level signal integrity, RF/wireless performance, and EMC, including radiated and conducted emissions/immunity. Troubleshoot and resolve complex signal integrity, RF, and EMC issues discovered during design, validation, and

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are a software engineering team with expertise in enabling ML models in production. We deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Our customers rely on us for frontier AI capabilities running on hardware they control, often with constrained GPU resources and limited direct access. Rising to that challenge and meeting those expectations is what Palantir's excels at. We treat models like any other software: continuously tested, continually delivered, packaged for reproducible deployment, and built for long-term maintainability. You will own services end-to-end, and work across the full stack, from inference engines, GPU scheduling to deployment pipelines, observability, and integration with Palantir's platform. The goal is to deliver new models and capabilities quickly and continuously. Join us if you want to solve problems at the intersection of infrastructure and machine learning that directly enable critical customers. Technologies We Use Different backend languages, including Java, Rust, Python and Go Model serving engines for GPU-accelerated inference Docker and Kubernetes for containerization and orchestration Industry-standard build tooling, including Gradle and GitHub Core Responsibilities Building high-performance model serving infrastructure that integrates with security models, hardware constraints, and different inference engines Designing intelligent request handling including authentication, rate limiting, concurrency con

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are a software engineering team with expertise in enabling ML models in production. We deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Our customers rely on us for frontier AI capabilities running on hardware they control, often with constrained GPU resources and limited direct access. Rising to that challenge and meeting those expectations is what Palantir's excels at. We treat models like any other software: continuously tested, continually delivered, packaged for reproducible deployment, and built for long-term maintainability. You will own services end-to-end, and work across the full stack, from inference engines, GPU scheduling to deployment pipelines, observability, and integration with Palantir's platform. The goal is to deliver new models and capabilities quickly and continuously. Join us if you want to solve problems at the intersection of infrastructure and machine learning that directly enable critical customers. Technologies We Use Different backend languages, including Java, Rust, Python and Go Model serving engines for GPU-accelerated inference Docker and Kubernetes for containerization and orchestration Industry-standard build tooling, including Gradle and GitHub Core Responsibilities Building high-performance model serving infrastructure that integrates with security models, hardware constraints, and different inference engines Designing intelligent request handling including authentication, rate limiting, concurrency con

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are a software engineering team with expertise in enabling ML models in production. We deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Our customers rely on us for frontier AI capabilities running on hardware they control, often with constrained GPU resources and limited direct access. Rising to that challenge and meeting those expectations is what Palantir's excels at. We treat models like any other software: continuously tested, continually delivered, packaged for reproducible deployment, and built for long-term maintainability. You will own services end-to-end, and work across the full stack, from inference engines, GPU scheduling to deployment pipelines, observability, and integration with Palantir's platform. The goal is to deliver new models and capabilities quickly and continuously. Join us if you want to solve problems at the intersection of infrastructure and machine learning that directly enable critical customers. Technologies We Use Different backend languages, including Java, Rust, Python and Go Model serving engines for GPU-accelerated inference Docker and Kubernetes for containerization and orchestration Industry-standard build tooling, including Gradle and GitHub Core Responsibilities Building high-performance model serving infrastructure that integrates with security models, hardware constraints, and different inference engines Designing intelligent request handling including authentication, rate limiting, concurrency con

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for an experienced systems software engineer to help define and build the host software stack for our custom next-generation AI systems. You will work close to the hardware on performance-critical software, including Linux kernel drivers, high-throughput I/O paths, and system-scale networking and RDMA. This role spans architecture, implementation, platform bring-up, debugging, and performance optimization. You will work across hardware and software boundaries to make new systems usable end to end, from low-level device interfaces through userspace tooling and production validation. In this role you will: Design, implement, and debug host-side systems software for AI infrastructure, including Linux kernel drivers and supporting userspace components. Build and optimize software paths for high-throughput, low-latency communication, including RDMA and related networking functionality. Develop software around PCIe, DMA, NICs, accelerators, memory movement, and device interaction. Bring up new hardware platforms and diagnose complex issues across kernel, firmware, networking, and hardware boundaries. Build tooling for integration, testing, diagnostics, observability, qualification, and performance characterization. Collaborate with hardware, networking, and platform teams to define interfaces and integrate new capabilities. Work with external vendors where needed to integrate technologies and drive issues to resolution. Contribute across the systems sof

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution. About the Impact The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you. Responsibilities: Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale Design and implement operational systems that translate research requirements into high-quality data pipelines Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI

JOIN OUR TEAM As a Senior Associate Brand Service , you will play an important coordinating and organisational role by supporting our Brand Buying team in their day-to-day operations. We are looking for a highly self-motivated, well-organised and detail-oriented individual who enjoys taking ownership and working independently. This position is permanent and based in Munich . WHAT YOU'LL DO Work closely with both the Brand Buying and Production teams on daily operational topics Prepare new product go-lives on our website by supporting the Brand Buying team in the selection process and gathering all necessary information and images from our brand partners Collect required data from brands to support our sustainability and compliance initiatives, utilising AI and automation where applicable Collaborate closely with specific partners on our non-permanent assortment by establishing contracts and ensuring a stable partnership YOU COME WITH A degree in business, economics or a comparable field of study A self-motivated and proactive mindset, with a strong sense of ownership, the ability to work independently, and the capacity to multitask with a detail-oriented and structured way of working The ability to collaborate effectively with colleagues and brand partners, paired with very strong written and verbal communication skills Good knowledge of Excel, and familiarity with Salesforce is a plus WHY WESTWING If you are looking for a place where ambition meets creativity, where ideas turn into impact fast, and where people are trusted to grow - you have found it. At Westwing, we’re building the Superbrand in Design with a team that’s shaping the future of beautiful home & living. Here is what you can look forward to: A high-performance culture built on trust, feedback and collaboration An inspiring, international environment that empowers you to think big, take ownership, and grow beyond your comfort zone In-Office Culture: 4 office days per week (Mon–Thu) dedicated to fast de

Who We Are Inorsa is an AI-first automation platform transforming how mission-critical infrastructure is designed, maintained, and upgraded. We serve telecom, fiber, data centers, and more, automating everything from document ingestion to drawing generation. Our platform helps infrastructure owners build faster, safer, and more cost-effectively. We're a fast-growing, highly technical team solving complex engineering problems. Every member of our team has a direct impact on product quality, customer outcomes, and how infrastructure is delivered now and into the future. Why Now As our agentic platform matures and enterprise deployments deepen, we need a technical leader who can close the gap between AI capability and production-grade reliability. We aren't competing on general intelligence—we're winning by being the deepest AI platform in the engineering vertical. This role is the tip of that spear. What You'll Do Architect Agentic Workflows Design and implement multi-actor state machines using LangGraph, including loops, error-recovery paths, and human-in-the-loop checkpoints Own the observability and evaluation strategy using LangSmith: trace agentic paths, version prompts, and run regression tests against gold-standard engineering datasets Build custom evaluators (LLM-as-judge) and use traces to identify exactly where multi-step agentic chains fail in production Drive Vertical Domain Integration Collaborate directly with structural and telecom domain experts to encode specialized engineering knowledge into agentic tools Translate 30+ years of practitioner tribal knowledge into reliable, production-grade automation Work cross-functionally with engineers, product managers, and field teams to ensure AI outputs meet the accuracy standards required in high-stakes engineering environments Set the Technical Standard Lead by example on AI-native development: Cursor, Claude Code, GitHub Copilot, and equivalent tooling Automate the grunt work of coding to concentrate