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Designs and runs automated tests for AI models, APIs, and cloud pipelines to ensure reliability and accuracy of AI-driven systems using Python and CI/CD tools.
Build and maintain FastAPI-based microservices and APIs for AI-driven applications, integrating AI models via MCP frameworks and supporting real-time streaming workflows in collaboration with AI/ML and DevOps teams.
Design and develop embedded control plane and data plane software in C/C++ for Cisco's Industrial IoT switching and routing products, working with Linux kernel, device drivers, and BSPs.
Develops AI agents and automation tools for electronic design workflows, integrating LLMs, simulation engines, and EDA software using Python and modern AI/ML techniques.
Work From Anywhere in LATAM or the Philippines Work Schedule: EST | 9:00 AM – 6:00 PM (Monday–Friday, 40 hours/week) About Pearl Talent Pearl works with the top 1% of candidates from around the world and connects them…
Principal Architect defines secure, governed AI-agent systems that automate enterprise workflows, ensuring identity, access control, and compliance at Adobe-scale.
Define the architecture for Cordant, an industrial software platform that connects edge devices, cloud, and AI to optimize operations for energy and manufacturing customers.
Designs and oversees Roche’s enterprise AI platform, architecting scalable, secure, and compliant AI/ML infrastructure for global healthcare applications.
Build and operate AI infrastructure to integrate LLMs into HPE’s training and documentation systems, focusing on production reliability, cost, and integration of vendor APIs.
Full-stack R&D engineer building end-to-end web applications with React/Vue frontends and Python/Node.js/Java backends on AWS, integrating AI/ML capabilities like LLM APIs into production systems at Keysight Technologies in Singapore.
Build and integrate AI-powered solutions on the ServiceNow platform, leveraging Agentic AI, LLMs, and custom MCP tooling to automate workflows and enhance digital experiences.
The Quantexa Systems Analyst will manage business requirements and design solutions for banking systems, with a specific focus on integrating Agentic AI and GenAI architectures. The role involves collaborating with stakeholders and technical teams to implement LLM-based solutions using Python and modern AI frameworks.
This role involves leading the development of scalable advertising platform systems using Java, GCP, and advanced AI-augmented workflows. The engineer will own the full SDLC, integrate LLM-based solutions, and mentor team members to drive technical excellence.
The Data Scientist will design, develop, and deploy scalable machine learning and AI solutions, focusing on Generative AI, LLMs, and NLP models. The role involves end-to-end ownership of projects, from data analysis and feature engineering to production deployment and monitoring using Python and PySpark.
Design, build, and operate an AIOps agent platform — including agent runtime, tool interfaces, event routing, telemetry, and operator experience — using Python, event-driven architectures (Kafka), observability stacks, and modern front-end frameworks in a hybrid setting.
Wheelhouse IT is seeking a highly motivated Support Escalation Engineer to provide high-quality technical support and mentorship to our clients. This position is located in Oralndo, FL. This is NOT an entry level…
The Architect will lead the design of AI-driven network validation and automation platforms, focusing on Agentic AI, LLMs, and distributed systems. This role involves defining technical strategy for multi-agent architectures and orchestrating complex enterprise-scale workflows.
Transport Surveillance L3 / SME Key Responsibilities Transport Surveillance and Restoration Monitor and analyze alarms through Assure1, ZDAF, vendor EMS/NMS and Salesforce . Perform L3 troubleshooting across DWDM,…
The Principal Software Engineer will lead the design and delivery of cloud-native platforms and agentic AI-enabled engineering workflows at JPMorgan Chase. This role involves defining architecture standards, mentoring engineering teams, and leveraging generative AI to improve developer productivity and operational excellence.
Build and maintain internal developer platforms using React, Java, and cloud-native tools to improve transparency and collaboration across JPMorganChase’s engineering teams.
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