Top Software Engineer Jobs
The AI Engineer will design, build, and deploy enterprise-level AI agents, collaborate with product teams for integration, utilize data analysis for informed decision making, and engage customers to refine AI solutions. Additionally, they will optimize agent performance, document AI processes, and participate in knowledge sharing.
The AI Engineer will lead the development and deployment of an advanced AI system for data creation and verification. Responsibilities include model development, system integration, testing, documentation, and continuous improvement of AI applications alongside managing data processes.
The Network Architect focuses on designing, developing, and evaluating electronic hardware systems for HPC and AI applications. Responsibilities include architectural development, conducting feasibility studies, assessing design reliability, and guiding less-experienced staff in innovation and excellence.
The Senior Principal AI/ML Engineer will lead the development of machine learning and generative AI solutions, collaborate with cross-functional teams, mentor engineers, and guide technical direction. Responsibilities include designing scalable applications and contributing to advanced analytics platforms, ensuring successful delivery of data-driven decisions.
The AI Engineer will design and develop deep learning models for analyzing large sets of high-resolution image data, integrate their development into a cloud-based processing pipeline, and will be responsible for data labeling strategies and model performance tracking.
The Full Stack Engineer III will design, develop, and integrate AI and ML solutions into existing platforms. Responsibilities include working with both front-end and back-end technologies, optimizing applications, and collaborating with cross-functional teams to deliver innovative solutions.
Looking for a Senior AI/ML Scientist with experience in creating, optimizing, and deploying ML and NLP solutions. Responsibilities include building and deploying AI solutions for document review, organization, and Q&A processes.
The Senior AI Integration Engineer will lead the development and implementation of AI-driven solutions, focusing on integrating data sources, refining interactions through prompt engineering, and collaborating with teams to drive AI adoption. Responsibilities include building AI models, optimizing performance, ensuring ethical use of AI, and staying updated with AI advancements.
Featured Jobs
As a Site Reliability Engineer, you will be responsible for maintaining and enhancing the performance and reliability of large-scale HPC and AI/ML systems, managing clusters, automating deployments, troubleshooting issues, and collaborating with cross-functional teams to support infrastructure.
The Enterprise Architect will lead technology architecture and solution delivery efforts, focusing on AI and data strategies. Responsibilities include developing business technology architecture, collaborating with teams across the organization, and promoting best practices to enhance solution quality while ensuring alignment with the company's growth objectives.
The VP of Engineering, Data and AI at Illumina will develop and implement a strategy for data systems and AI solutions, focusing on global accessibility and innovation. This role involves leading the data engineering team, overseeing transformative initiatives, and ensuring alignment with organizational goals to enhance operational efficiency and strategic decision-making.
As a Software Engineer III, you'll develop and maintain prototypes and production-ready AI applications, collaborating with a diverse team to implement innovative human-AI workflows. Responsibilities include driving enhancements in system security, scalability, and performance across the full stack.
As a Principal Solution Architect for Data & AI, you will design and implement solutions tailored to client needs, collaborating with various teams to gather requirements and deliver insights. Your role includes overseeing project implementations, establishing best practices for data management, and staying abreast of technological advancements in data science and AI.
The Software Engineer, AI will lead AI/ML strategies, develop and implement advanced retrieval-augmented generation systems, conduct R&D for AI/ML algorithms, and optimize ML integrations and systems. They will also mentor team members and work collaboratively across various departments.
The Senior Software Engineer, AI will lead the AI/ML strategy and implementation, focusing on designing, developing, and deploying advanced Retrieval-Augmented Generation systems. Responsibilities include conducting AI/ML research, creating scalable machine learning architectures, optimizing system performance, and mentoring team members.
The UX/UI Developer will design and develop user-friendly interfaces for AI tools, focusing on enhancing usability for both internal and external users. Responsibilities include user research, wireframing, prototyping, technical implementation, and performance optimization to ensure effective interaction design.
The Artificial Intelligence Solution Engineer role involves developing and implementing AI solutions for various business problems, ensuring optimal performance, and collaborating with cross-functional teams to deliver innovative results.
As a Forward Deployed Engineer, you will develop and execute AI-driven interactive video games, collaborating closely with high-profile partners. Responsibilities include defining requirements, solving technical challenges related to AI character interactions, and translating partner feedback into product roadmaps for immersive experiences.
As a Senior Engineer in AI, you will develop performance-intensive software solutions for AI workloads, conduct R&D for next-gen computing systems, collaborate on algorithms, and work with international teams while leveraging both hardware and software technologies.
The HPC/AI MPI Ecosystem Software Engineer will work with the Slingshot Ethernet Fabric team to optimize and support communication libraries and applications used in AI and HPC. Responsibilities include collaborating with the community and vendors, designing and maintaining system software for AI and HPC systems, and aligning software direction with business requirements.
The Senior AI Applied Scientist/Engineer will prototype AI solutions, evaluate AI systems, and stay updated with industry trends. This role involves collaborating with various teams, assessing performance, and contributing to knowledge sharing on AI advancements.
As the Vertical Sales Lead for AI solution providers, you will drive sales growth in the Americas by executing sales strategies, building and leading a high-performing account team, and fostering relationships with customers and partners. Your focus will be on promoting D-Wave’s Quantum AI solutions and ensuring a strong pipeline of business opportunities.
Seeking a savvy and innovative AI Engineer to build artificial intelligence products. Responsibilities include developing machine learning and deep learning systems, applying natural language processing and generative AI, and mentoring other engineers. Requires 7 years of experience in leading machine learning system designs and a Bachelor's degree in computer science or related field.
Join Citi's Common Platform Engineering team to build and run the Generative AI platform, addressing large-scale engineering challenges with AI/ML and toolchains. Design and innovate high-quality software compliant with Citi's security standards. Ideal for experienced platform engineers with a passion for Generative AI.
Join Citi's Common Platform Engineering team to design and build a Generative AI platform, partner with development teams, ensure compliance with security processes, and innovate the platform at scale. Requires 6-10 years of experience in Apps Development, strong coding skills, and expertise in AI/ML technologies.
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