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Senior QA Engineer ensuring software quality for healthcare/life sciences products by designing test plans, automating frameworks, and leading functional/performance testing in a microservices environment.
The Advanced Analytics Engineer will design and build scalable data pipelines and workflows to support AI and machine learning initiatives at Oliver Wyman's new Lisbon hub. The role requires expertise in Python, PySpark, and Databricks to process structured and unstructured data within a hybrid work environment.
The Partner Solutions Engineer acts as a technical authority for Cisco's CCaaS ecosystem, enabling partners to design and deploy cloud-native contact center solutions. The role involves driving technical enablement, architecting scalable frameworks, and influencing product roadmaps through field feedback.
The SDE III will design and build agentic development tools and distributed data pipelines to improve the builder experience across Amazon. The role involves working with Java, Python, and TypeScript to create AI-powered features and scalable infrastructure for internal developer platforms.
The Cloud Engineer will manage and maintain cloud infrastructure, container platforms, and middleware technologies while supporting AI architecture initiatives. The role requires expertise in scripting, ITIL processes, and the ability to participate in shift and on-call rotations.
The Python Developer will design and maintain AI-driven applications and data pipelines for financial sector clients using Python, PyTorch, LangChain, and cloud-native technologies. The role involves working in an Agile environment to build scalable backend services and integrate Generative AI solutions.
The AI Security Architect will design and implement security strategies and controls to enable the safe adoption of AI, generative AI, and foundation models across the enterprise. The role involves conducting threat modeling, defining security standards, and partnering with engineering teams to ensure AI systems are secure by design.
The Principal AI Engineer will build and productionize agentic AI systems for cybersecurity, focusing on LLM architecture, multi-agent workflows, and robust AI-to-system integration. The role requires strong software engineering expertise in Python and cloud platforms to deliver reliable, observable, and secure production-grade AI solutions.
Designs and maintains scalable cloud-native infrastructure, CI/CD pipelines, and observability systems for fintech platforms, integrating AI-driven automation (e.g., agentic workflows) to enhance reliability and operational efficiency.
Staff DevOps Engineer owning cloud infrastructure architecture, CI/CD pipelines, and observability at Newmark Group, with a focus on integrating agentic AI workflows into platform operations. Core technologies include Terraform, Kubernetes, Azure/AWS/GCP, and AI orchestration frameworks.
Aflac is investing in a new generation of technology capability that will transform customer and employee experiences, scale the secure and responsible use of AI across the enterprise, and reshape how software is…
Own the end-to-end data lifecycle for a device intelligence platform, shaping how signals are collected, stored, processed, and queried to power fraud detection and analytics for customers.
This role is for an AI Application Developer to build and deploy Agentic and Generative AI solutions within the banking sector. The developer will work with LLMs, orchestration frameworks like LangChain, and cloud-native technologies to create intelligent, context-aware applications.
About Artefact Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the…
EBSCO Information Services (EBSCO) delivers a fully optimized research experience, seamlessly integrated with a powerful discovery platform to support the information needs and maximize the research experience of our…
Who we are. Solo.io is reimagining infrastructure for cloud and AI — helping enterprises Connect, Secure, and Observe modern applications across APIs, microservices, AI agents, and the connections between them. Our…
This role involves building and maintaining large-scale distributed data processing systems and AI-driven workflows to support Apple's media services like Apple TV+. Engineers will work with big data technologies and LLM integration to create scalable, privacy-focused infrastructure.
Designs and develops AI and agentic solutions, integrating with existing products or standalone systems, using Python, LangChain/LangGraph, FastAPI, and tools like Microsoft Copilot Agent Studio. Focuses on agentic architectures, RAG pipelines, and AI evaluation frameworks.
Develops AI/ML agents, tools, and services to analyze wireless/cellular performance issues for Apple devices, improving user experience through automated debugging and system evaluation.
Salary: $120,000 – $150,000 + Super HubSpot Go-to-Market Engineer – AI & Automation Remote – Australia & New Zealand $120,000–$150,000 + super We're looking for a hands-on Go-to-Market Engineer with deep…
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