Get the job you really want.
Top Software Engineer Jobs
The Generative AI Engineer will implement, integrate, and deploy scalable AI solutions specifically for the fashion and consumer goods sectors. Responsibilities include optimizing AI workflows, creating robust AI pipelines, collaborating with cross-functional teams, and enhancing deployed solutions based on performance feedback.
As a Senior Software Engineer in the AI Studio team at Speechify, you will be responsible for developing state-of-the-art voice cloning and text-to-speech services, building scalable microservice architectures, and optimizing performance of applications. You will also contribute to innovation in AI and audio technologies.
As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.
The AI/ML Engineering Senior Manager will be responsible for growing AI capabilities in the product and platform. They will manage a team of data scientists, machine learning engineers, and software engineers. They will collaborate with product management, UX designers, and business stakeholders to deliver AI-enabled software solutions and platform capabilities. The role requires strong technical leadership, experience in data science and AI, and proficiency in git-based workflows and machine learning tools.
The Lead AI Engineer will build and lead the AI team, focusing on developing agents to enhance the Neon platform for software development. This role requires extensive coding, mentoring engineers, and managing end-to-end delivery of projects. A strong background in AI tools, backend technologies, and experience in a leadership role is essential.
The Senior Staff AI Scientist will collaborate with subject matter experts to develop AI solutions, oversee data management, and mentor Data Scientists. Responsibilities include designing and deploying advanced AI solutions, ensuring high-quality data access, and fostering a culture of continuous learning within the team.
As a Principal AI/ML Software Engineer at Salesforce, you will define and implement the technical strategy for AI-based availability solutions, build real-time data pipelines, and collaborate with diverse teams to optimize service operations. Your role involves leading the development of AI/ML capabilities, guiding technical architecture, and delivering critical services to enhance customer experience and operational effectiveness.
As an AI Solutions Architect at Groq, you will drive the adoption of AI technology by understanding customer needs, architecting solutions, and ensuring successful deployment. You'll engage in technical sales leadership, build relationships with customers, and provide ongoing technical support while influencing product development based on market insights.
Featured Jobs
The Head of Applied AI will manage and lead the Applied AI Research team, overseeing the development and integration of cutting-edge AI technologies into products. Responsibilities include leading research projects, mentoring team members, developing research strategies, and representing the company at events.
As a Staff Applied AI Engineer, you will enhance natural language processing systems, run experiments with LLM techniques, and integrate agent capabilities into software. You will analyze complex data, develop models, collaborate with teams, and ensure systems are efficient and well-monitored.
As an AI Engineer, you will design, implement, and manage machine learning algorithms, coordinate data efforts, and work on real-time data from various sources. You will also research cutting-edge technologies and monitor algorithm performance, actively contributing to the development of machine learning-driven products.
As a Senior AI Product Engineer, you'll write scalable backend code primarily in Go and Python, contributing to the development of Arize's ML observability platform. You'll focus on optimizing backend services, designing APIs for ML workflows, and collaborating with other teams for product enhancement, while tackling challenges in high-performance backend systems.
The Senior AI Product Engineer will develop scalable and maintainable code, design APIs and object models, and create reusable React components. They will work with product and design teams to enhance features for AI applications, focusing on user experience and driving product innovation.
As an AI Product Engineer, you will work on AI product innovation, tackling complex engineering challenges and developing tools for AI and LLM-powered applications. You'll collaborate with senior engineers and take on significant responsibilities from the start, including model evaluation metrics and building systems for high-volume data handling.
The Full Stack Engineer at Cognite Atlas AI will develop AI-powered solutions using Cognite Data Fusion, collaborate with clients, and design robust integrations ensuring quality through CI/CD practices. This role involves building industrial agents and enhancing the understanding of GenAI value for the manufacturing and energy sectors.
The Privacy, AI and Data Protection Counsel will manage Wiz's privacy and data protection compliance program, provide guidance on compliance matters, negotiate Data Processing Agreements, and stay informed on global regulations. Reporting to Wiz’s Global Privacy Officer, this role requires expertise in addressing privacy concerns particularly in technology contracts.
Senior Software Engineer at Articulate responsible for building new features, enhancing existing ones, collaborating with teammates, and leveraging AI technology to create transformative experiences for users. Must have 5+ years of experience in software engineering and proficiency in JavaScript, React, Node.js, Postgres, and Docker.
_0.png)
The Practice Manager for Data Science, AI, and ML will lead a team of experts to deliver professional services, ensuring successful customer engagements. Responsibilities include acting as a technical liaison, guiding teams through projects, educating clients on data science solutions, and supporting cloud migrations. The role requires building strong customer relationships and delivering training to ensure client and team knowledge.
As an AI/ML Infrastructure Engineer at NVIDIA, you will enhance productivity for researchers by addressing infrastructure gaps, designing robust solutions for data management, and optimizing the performance of AI/ML systems. Your role includes automating processes, collaborating with teams, and keeping up with technological advancements in AI/ML infrastructure.
Lead the development of AI products within GEICO's Unified Communications Service Engineering group, focusing on integrating large language models into scalable applications while mentoring junior engineers and collaborating across teams to enhance user experiences.
As a Sr. Staff Software Engineer, you will design and develop AI-driven product features, lead the integration of LLMs into scalable applications, mentor junior engineers, and collaborate with product managers and AI experts to enhance user experience and solve complex problems.
As a Sr. Software Engineer, you will design and develop product features that leverage AI and LLMs, integrate AI models into customer-centric applications, mentor junior engineers, and collaborate with product managers and data scientists to enhance the user experience and quality of engineering across the organization.
The Software Developer will research, design, and build AI and ML solutions. Responsibilities include developing AI-driven features, maintaining web applications, integrating various AI/ML frameworks, and collaborating with teams to enhance application functionality.
The Presales Solution Consultant will drive presales efforts for an AI-driven eProcurement SaaS solution. Responsibilities include understanding client needs, conducting product demonstrations, creating business strategies, and ensuring successful implementation by bridging sales and delivery teams.
The Senior Solutions Architect will engage with clients to understand their business challenges and deliver tailored technical solutions in data analytics and AI. They will lead technical consultations, develop data-driven solutions, and work closely with sales and engineering teams to ensure alignment with client objectives.
Top Companies Hiring Developer + Engineer Roles
See All
All Filters
No Results
No Results
