Top Software Engineer Jobs

As a Software Engineer, you will build backend services, design data pipelines, integrate AI models, and collaborate with the engineering team to deliver robust features.

The Senior Generative AI Software Architect leads the design of scalable AI systems, collaborates with stakeholders, ensures integration, and mentors teams to leverage generative AI technologies.

As a Senior Software Engineer, you will develop features for Photo AI, working on application architecture and delivering high-quality product experiences while mentoring other engineers.

The Lead Engineer will collaborate with experts to create and optimize LLM prompts, integrate solutions into applications, and develop a scalable prompt engineering framework.

Build and expand the Retool Agents product, enabling customer automation of business workflows with AI. Engage in technical decision-making, ensure customer needs are met, and work on performance improvements.

The Sr. AI/LLM Infrastructure SW Engineer will develop AI models, lead architectural evaluations, and define AIOS solutions in vehicles, necessitating teamwork and strategic planning.

Responsible for architecting AIOS solutions, leading proof-of-concepts, collaborating with engineering teams, defining roadmaps, and delivering project requirements.

The AI Engineer will prototype and implement innovative document search methods, owning impactful projects as part of Humata's cognitive architecture team.

As a Full-Stack Engineer, you will develop scalable applications, enhance user experience with React, build backend infrastructure, and collaborate on AI-driven systems.

Lead iOS development for consumer and POS/Kiosk apps, driving integration of AI tools, optimizing workflows, and ensuring best practices in coding and app compliance.

As a Staff Software Engineer, you'll lead the technical vision and drive the development of AI applications, mentor engineers, and ensure operational excellence.

Lead the development of scalable software, architect backend systems, and collaborate with teams to enhance user experience while ensuring security and compliance.

Lead and inspire full-stack engineers, delivering innovative solutions and overseeing impactful projects while driving technical excellence and fostering team collaboration.

The Principal AI Architect leads the design and development of AI architectures, strategies, and projects while mentoring teams and integrating solutions into production environments.

Lead the AI Products team to develop various AI products, providing engineering leadership, driving product reliability, and overseeing hiring and team practices.

As a Senior Backend Engineer, you will lead high-impact innovation projects focusing on scalable systems, optimizing performance, and operationalizing AI prototypes for a cutting-edge data protection product.

Lead the development of AI solutions on the Salesforce platform to optimize business operations, automate workflows, and enhance organizational efficiency through generative AI.

This role requires engineers to build AI coding tools, deliver features, and work with technical teams on scalable solutions. A focus on initiative and communication is crucial.

As a Lead Frontend Engineer, you will develop user interfaces for AI systems, collaborating with researchers and engineers to create functional prototypes and improve UX based on user feedback.

The Sr. Software Engineer will design and develop AI product features, lead integration of AI models into applications, mentor junior engineers, and collaborate across teams to enhance product functionality and user experience.

As an AI Process Automation Engineer, you'll develop and maintain AI-driven automation tools, collaborate with stakeholders for optimization, and write efficient code using various languages.

As a Senior .NET Engineer, you'll design and maintain scalable applications, collaborate with teams, and implement Generative AI features for innovative financial solutions.

Develop AI-powered tools that integrate with Bubble's platform, optimize performance of AI models, and design natural language workflows for application modification.

Lead the design and development of Generative AI solutions, ensuring production-grade reliability and scalability while collaborating with cross-functional teams.

Design and develop high-performance services for AI workloads across edge and cloud environments. Optimize data pipelines, develop APIs, and ensure system security and reliability.