Top Software Engineer Jobs

The program develops recent graduates into future leaders through three rotating roles in various engineering fields over three years.

Collaborate with content teams to design and implement gameplay experiences, focusing on AI interactions, mentoring junior staff, and driving feature development.

The Agentic AI Engineer will develop backend services, create enterprise UI components, and enhance AI-driven features using various technologies while mentoring junior engineers.

The Senior Agentic AI Engineer develops backend services, builds APIs, and creates frontend components while integrating AI into enterprise tools and mentoring junior engineers.

The Full Stack AI Software Engineer will design and implement applications, develop ETL pipelines, leverage automation tools, and integrate AI features, collaborating with data teams.

The Senior Software Engineer will design and scale the Voice AI platform, develop services and APIs, and ensure system reliability for local businesses' call handling needs.

The Senior Software Engineer will develop server-side logic, manage databases, integrate APIs, ensure security, and optimize performance for the Blueflame AI platform, mentoring junior engineers along the way.

Design and evolve software architecture for performance, security, and scalability. Collaborate with teams to ensure best practices in system development and deployment.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.

As a Senior Fullstack Rails Engineer, you will develop, iterate, and optimize AI-driven customer support solutions. You'll work on the backend using Ruby on Rails and PostgreSQL while also handling frontend projects.

As an AI Engineer, you will build AI-driven software solutions, extract and synthesize data, and collaborate with a cross-functional team to address customer needs.

The role involves architecting scalable backend systems for real-time evaluations, integrating with streaming data, and building intervention layers for AI applications. You'll design frameworks and operationalize vector databases while ensuring low-latency service performance.

Develop and implement generative AI features for network performance and cybersecurity applications, focusing on prototyping, testing, and collaboration in a team environment.

Design and optimize APIs for real-time sensor processing, develop GPU-accelerated algorithms, and mentor teams while collaborating with industry partners.

The role involves designing, implementing, and testing AI-first SaaS products, leading software development practices, and supporting deployment efforts.

The Sr RPA/AI Developer mentors junior developers while leading the design and development of RPA bots and AI agents, ensuring adherence to best practices and standards.

Develop automated bots using UiPath for finance, HR, and IT processes while providing support and enhancing existing bots.

Design and build scalable infrastructure for data ingestion and retrieval, develop distributed services, and mentor team members while ensuring high performance and maintainability.

Lead the design, development, and integration of Generative AI applications. Collaborate with cross-functional teams, oversee full-stack development, and establish best practices.

Lead the architecture and execution of AI and data platform, mentoring engineers and driving technical excellence in ML infrastructure.

Lead the technical execution of AI initiatives, collaborating with teams to develop and deploy AI solutions, while ensuring ethical practices and compliance.

Lead design and execution of AI platform at Faire, building scalable machine learning systems and providing mentorship to engineers.

The AI Operations Lead will design and manage AI tools, build data pipelines, define KPIs, automate workflows, and ensure data quality.

The Fullstack Engineer will build end-to-end products for Ambient AI, work across the software stack, and engage directly with customers under a fast-paced team dynamic.

Lead the design and development of AI applications, optimize algorithms, and integrate AI systems into enterprise solutions, primarily leveraging LLMs.