Browse 1895 curated roles with transparent salary cues so you don't have to open ten tabs to compare offers.
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About Plaud Inc. Plaud Inc.
Overview Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft�s expanding Cloud Infrastructure and responsible for powering Microsoft�s �Intelligent Cloud� mission. As a Senior Software Engineer � Networking Control Plane in the DPU Networking software team, you will design, develop, deploy and support networking control plane functions that enable high performance data processing within various network endpoints in Azure data centers.
Key Responsibilities: Software engineering for LLM-powered conversational agents, with an emphasis on practical implementation, reliability, and user experience Evaluate, fine-tune, and deploy LLM-based models and pipelines using REST APIs and internal microservices Implement prompt engineering, retrieval-augmented generation (RAG), tool-use pipelines, and conversation orchestration logic Investigate and integrate emerging technologies, particularly in real-time voice, streaming, and multi-modal interaction Analyze model outputs, user interactions, and system performance to drive iterative improvements Build and maintain high-quality datasets, including data cleaning, preprocessing, labeling workflows, and benchmarking for NLP tasks Own data quality, ensuring accuracy, reproducibility, and reliability across the data lifecycle Collaborate with ML, backend, and product teams on deployment best practices, monitoring, and scalability of LLM-based services Contribute to internal documentation, experimentation processes, and model evaluation frameworks Key Requirements: Master�s degree in Artificial Intelligence, Computer Science, or a related technical field Strong programming skills in Python, with experience in ML and data tooling (e.g., PyTorch, Pandas, NumPy, Scikit-learn) Preferred: 2+ years of professional software engineering experience, including scripting, data processing, or backend/ML pipelines Experience with NLP techniques, LLMs, or machine learning fundamentals Strong problem-solving ability and comfort working independently in a fast-moving environment Preferred: Experience deploying applications or models on cloud platforms, preferably AWS Bonus (not required): experience with real-time systems, WebSockets/streaming, RAG pipelines, vector databases, or ML evaluation frameworks, Genesys/Twilio We believe: Diversity is a competitive advantage. Financial opportunity belongs to everyone.
3+ years of software engineering experience developing Java APIs. Experience working with Relational Databases.
Work closely with systems and application engineers to integrate software solutions equipment software. Applied Materials is an Equal Opportunity Employer.
Strong programming skills with Advanced JAVA (Java 11) REST Based Web Services REDIS APACHE KAFKA Spring (Spring Data, Spring JPA, Spring Web Services) AWS, AWS S3, AWS EC2 CICD, GitHub Docker and Kubernetes HTML CSS JAVA Script NOSQL Responsibilities � Design, develop, and deploy multi-tier, distributed web applications in an enterprise setting. Utilize Java Spring, JPA, and Hibernate frameworks to build scalable applications.
Min 10 Years of IT ( Java/J2ee Development exp). Strong Springboot & Microservices Core Java development exp API exp Microservices exp Must know at least one front-end framework (Angular, React, jQuery) Exp with databases (e.g.
Not looking for senior developers due to low pay Salary offered $60-78k per year Responsibilities: Develop, test, and maintain Java applications. Troubleshoot and debug applications for performance optimization.
The Red Hat OpenStack Engineering team is looking for a Senior Software Engineer with experience in hybrid cloud Infrastructure-as-a-Service to join our Red Hat OpenStack Platform team. Annual salary is one component of Red Hat�s compensation package.
Local Only Full Time Hybrid (2-3 Days On Site) - Back End JAVA / AI Engineer $130,000-$150,000 Backend Engineer will architect and build AI-powered workflows, microservices, integrations and APIs. Design AI-Powered Systems and Architect AI workflows for complex solutions Develop Microservices and use Spring-based architecture to build out scalable components Integration Engineering including API integrations with partners and clients Participate in data engineering tasks like data migration and ETL processes Cross-Team Collaboration: Work with product managers, designers, and other engineers to understand requirements and translate them into technical specifications Technical Documentation: Translate business requirements into technical specs and document solution architecture with design considerations Suggested Experience BS/MS plus 5 years of experience building enterprise applications Strong knowledge of microservices architecture, Spring Stack, Relational DB and RESTful APIs Proven experience with Spring tech stack (Spring Boot, Spring Cloud, Spring Data, Spring AI) Experience with cloud deployment services (AWS preferred, Azure, GCP) Knowledge of containerization and orchestration (Docker, Kubernetes) Experience with observability tools (Prometheus, Grafana, New Relic, Datadog) Show less
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Hybrid work at Stripe This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).
Job Description Must Have Technical/Functional Skills: JavaScript (ES6+): Deep understanding of core concepts, asynchronous programming, closures, and event loop Hands on with AI extended plugins (GitHub Copilot/Cursor/Windsurf) React (Intermediate to Advanced): Functional components, hooks, context API, and performance optimization State Management: Redux toolkit or similar libraries for managing complex application states Responsive Design: CSS3, Flexbox, Grid, media queries, and mobile-first development D3.js: Building interactive visualizations for AI-generated insights and data Cross-Site Debugging: Proficiency with browser dev tools and performance profiling for AI components Node.js: Building scalable backend services that interact with AI/ML services RESTful API Development: Experience with MERN stack CI/CD and Cloud: Familiarit y with automated pipelines and deploying solutions on ARO and Azure Understanding of AI-driven personalization and adaptive UI rendering Experience integrating AI-powered components (chatbots, recommendation engines, smart search) via APIs (e.g., OpenAI) is a plus Roles & Responsibilities Design and implement web applications prioritizing performance, scalability, and responsiveness Integrate AI/ML capabilities into user interfaces, React AI libraries Collaborate with designers, data scientists, and product managers on feature integration Debug and optimize applications across browsers and platforms with focus on component performance Create sophisticated data visualizations with D3.js Evolve front-end architecture using React and Redux toolkit modern state management practices Build and consume RESTful APIs with Node.js Ensure responsive design across all devices Apply performance optimization for virtual DOM Salary Range: $64,000-$145,000 a year Show less
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