Top Software Engineer Jobs
As a Senior Software Engineer in the Generative AI team at Experian, you will develop and integrate generative AI solutions, create scalable machine learning frameworks, build production-ready models, and maintain a culture of clean code and CI/CD automation working alongside data scientists and product teams.
The Sr. AI/GPT Developer will scope, develop, and implement AI/ML solutions within a law firm, focusing on improving efficiency through machine learning systems. Responsibilities include developing new features for web applications, integrating cloud services, collaborating with staff, staying current with AI advancements, and ensuring high-quality, scalable software.
The HPC/AI Sales Specialist is responsible for seeking and expanding sales opportunities, maintaining industry knowledge, developing pursuit plans, and managing the sales pipeline. This role involves collaboration with account managers, proposal development, negotiations, and establishing relationships with clients to meet their unique business needs.
The HPC/AI Sales Specialist is responsible for driving sales in the Federal sector, focusing on building and managing the pipeline by seeking new opportunities and enhancing existing ones. This role requires establishing consultative relationships with clients, contributing to proposals, and engaging effectively with account management and industry experts to meet customer needs. Successful candidates will have demonstrated sales experience within the HPC/AI space.
In this role, you'll lead a small team to develop scalable APIs and applications for a new purchase order management system. Responsibilities include software monitoring, troubleshooting production issues, reviewing design and code changes, and implementing both frontend and backend solutions using modern technologies like Python and React.
The Senior Cloud Engineer will support the U.S. Department of Homeland Security by managing multiple AI-related projects, developing performance metrics, collaborating across teams, assisting in the development of reports and briefings, conducting research, and driving customer mission priorities. A strong background in cloud technologies and AI is essential.
The Azure Data & AI Architect will lead the development of data and AI strategies, design advanced Azure solutions, provide technical leadership to engineering teams, and integrate data and AI solutions with existing systems. Responsibilities include mentoring team members and collaborating on technology deliverables to meet business objectives.
In this role, you will lead and support the design and development of enterprise data products, manage multiple data engineering teams, influence data strategy, and mentor professionals in the data engineering community. You will leverage your technical expertise to transform data into actionable insights, overseeing the operational processes and ensuring efficiency and innovation.
Featured Jobs
As an AI Software Engineer, you'll transform ML models into efficient systems, collaborate with research teams, design production-ready AI/ML systems, and debug complex issues, ensuring high performance and reliability of AI infrastructure.
The Senior AI Engineer at G-P will develop innovative AI solutions for business challenges, manage complex datasets, and ensure projects meet standards and user satisfaction. The role involves significant work in data and ML engineering, with collaboration across teams and adherence to Agile practices.
As a Senior Software Engineer, you will manage projects supporting U.S. DHS initiatives, collaborate with experts, participate in AI technology efforts, and provide analytical support while ensuring compliance with guidelines. A strong focus on full-stack development and cloud services is necessary, along with expertise in multiple programming languages.
As a Founding Engineer at Oowlish, you will develop innovative AI-driven solutions, collaborate with clients from the US and Europe, and employ advanced technologies like AI tools, Python, and AWS for various projects in a remote-working environment.
As a Founding Engineer, you will work with cutting-edge AI technologies and code exclusively using AI tools. You'll collaborate remotely, engaging with innovative clients and focusing on developing real-time, voice-driven communication solutions.
As a Founding Engineer at Oowlish, you will collaborate on innovative AI-driven solutions, utilizing tools for web automation and voice-driven communication technology, while contributing to client projects from the US and Europe.
As a Founding Engineer at Oowlish, you will work with innovative AI-driven tools to develop state-of-the-art solutions in collaboration with clients from the U.S. and Europe. You are expected to have strong expertise in Python and experience with AI applications, AWS, web automation, and technologies like Shopify and Langchain.
The Founding Engineer at Oowlish will work on innovative AI projects, focusing on developing AI-driven solutions and collaborating remotely with a diverse team. Responsibilities include leveraging AI tools for coding, and contributing to the development of voice-driven communication technology.
As a Founding Engineer, you will lead AI-driven development efforts, utilizing technologies and tools to create innovative solutions. Collaborating with a team, your role will involve staying updated on AI trends, coding with AI tools, and implementing web automation and scraping techniques.
The Founding Engineer will work with AI and Python to develop innovative solutions for enhancing digital interactions. Responsibilities include utilizing AI tools for coding, working with Langchain, LlamaIndex, and implementing web automation and scraping techniques, while collaborating with international clients.
As a Founding Engineer at Oowlish, you will leverage your expertise in AI and Python to develop innovative digital solutions for clients in the U.S. and Europe. Your role will involve collaborating on AI-driven development, utilizing tools like Langchain and LlamaIndex, and enhancing user interaction through web automation and scrapping.
The Lead AI Engineer will develop and train AI tools while collaborating with cross-functional teams. Responsibilities include designing AI models, preparing data for machine learning, deploying AI solutions in cloud environments, and integrating AI technologies with clients' business processes. The role also includes maintaining up-to-date knowledge of AI trends and enforcing best practices for version control.
The Principal Engineer - ML/AI will design, develop, and deliver advanced AI and machine learning solutions, translating technical innovations into strategic business outcomes. The role requires leadership in AI, innovative problem-solving, and a comprehensive understanding of emerging technologies to serve the Federal Government clients effectively.
The Senior AI Engineer will lead the development of machine learning models to provide predictive insights that support business decisions. Responsibilities include collaborating with stakeholders, analyzing complex datasets, and communicating findings.
The Manager of Product Software Engineering will lead development teams to implement AI-driven upgrades in the CCH Axcess software suite. Responsibilities include managing Agile processes, coordinating with cross-functional teams, mitigating project risks, and ensuring delivery quality while fostering continuous improvement initiatives.
As an AI Engineer, you'll develop AI features from conception to integration, curate and process data for model training, fine-tune LLMs for specific applications, evaluate model performance, and provide technical leadership on AI practices.
As a Full Stack Engineer at GreyNoise, you'll bridge data science prototypes with production-quality applications, develop front-end and back-end systems, automate cloud infrastructure, optimize databases, and integrate AI technologies, directly impacting cybersecurity and data analytics solutions.
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