Top Software Engineer Jobs

The Founding Engineer will design and scale distributed backend systems, create robust evaluation infrastructures for RL training, and collaborate with AI researchers.

As a Founding Engineer, you'll develop infrastructure for an AI platform, including AI agents, secure systems, and SDKs for integration.

As a Full-Stack Software Engineer, you'll develop features for a voice AI platform, integrating various 3rd party systems and enhancing the user experience.

Join as a founding engineer to build a proactive AI mentor. Design memory systems, adaptive interfaces, and evaluate AI behavior change, directly impacting user growth.

As the second engineer, you will build backend systems for browser automation, collaborate with founders, and design secure authentication processes.

Software Engineers will build AI agents for LiveFlow, focusing on designing integrated agent-driven systems to enhance financial software operations while ensuring data security and compliance.

As a Senior Software Engineer on the AI Platform team, you will develop AI security features, enhance vulnerability detection, integrate AI patterns, and collaborate across functions to deliver solutions.

Lead a team in developing AI-powered legal solutions, ensuring AI quality and backend excellence, while managing engineering efforts and collaborating across functions.

Design and implement AI-driven optimizations for software development workflows, leveraging LLMs and Agentic AI to enhance productivity and reliability.

Design and build high-performance UI and APIs, manage database architecture, optimize systems for reliability and performance, and collaborate cross-functionally in a scientific context.

The Software Engineer II will design, develop, and implement software solutions, provide technical guidance, and resolve complex issues while collaborating with users and team members.

Lead clients in designing and deploying Microsoft Azure AI solutions. Oversee multiple projects, engage in client discussions, and support sales efforts.

Join Knoetic as a Fullstack Product Engineer in a new AI pod. Own features end-to-end, work with customers, and improve engineering practices.

The role involves developing AI/ML prototypes, collaborating with customers, database administration, and enhancing machine learning model capabilities, requiring extensive experience and specific technologies.

As an Applied AI Engineer, you will build AI features, customize models, ensure production quality, and collaborate with teams to enhance legal services using AI.

Rapidly prototype and iterate AI-powered features (LLMs, embeddings, real-time audio, APIs), lead experiments from hypothesis to proof-of-concept, collaborate with product and engineering to translate prototypes into product-aligned solutions, and share learnings and artifacts to accelerate team innovation.

Lead full-stack development and architecture across frontend, backend, and AI systems. Build scalable services, integrate models and data pipelines, collaborate with product/design, mentor engineers, and deliver high-impact features from design through production.

The AI Architect will design and implement AI tools, develop secure integration layers, and oversee cloud deployment and governance of AI systems, working collaboratively with internal stakeholders to address technical needs.

As an AWS Solutions Architect- AI/ML, design and implement cloud solutions focusing on modernization, data engineering, and AI/ML for business transformation.

As a Fullstack AI Software Engineer, you will develop full-stack applications, mentor colleagues, and integrate AI technologies while collaborating globally.

As a Full Stack Engineer, you'll develop platform capabilities, collaborate with teams to implement solutions, and integrate new technologies while ensuring architecture and security are sound.

Lead and manage a team building AI-native document generation workflows, driving execution on strategic initiatives and ensuring engineering excellence.

Lead a team of engineers to develop AI-driven solutions for digital marketing, ensuring high quality and scalability, while mentoring team members.

As an Engineering Manager for the VALORANT AI team, you will oversee a team of engineers, guide AI development, manage performance, and advocate for both players and developers.

Lead architecture and implementation of conversational AI systems, build scalable backend services and REST APIs, drive high-impact projects, integrate external partners and carriers, collaborate with Data Science on ML/LLM solutions, and ensure platform performance and scalability.