Top Software Engineer Jobs

The role involves researching AI system architecture, developing performance models, making design decisions, and leading architecture strategies. It requires collaboration across teams to evaluate AI workloads and scalability issues.

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

The Software Engineer, AI will develop intelligent systems for financial workflows, utilizing LLMs and other technologies to enhance bookkeeping and data processing for agriculture businesses.

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

As a Backend/AI Engineer, you'll integrate LLMs, optimize document processing pipelines, and improve API design for document understanding tasks.

Design, build, and maintain AI-driven backend systems for observability, focusing on infrastructure development and optimization across cloud and on-premise environments.

As a Full-Stack AI Engineer, you'll design and build features for AI site reliability, focusing on both frontend and backend systems, including API development and data management.

As an Agent Engineer, you will design and build intelligent systems that enhance creative workflows using AI technologies, ensuring reliability and usability across text, image, and video integrations.

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

Lead the development of AI-powered trading systems, focusing on building pipelines, enhancing research with AI, filtering signals, and managing infrastructure for data processing in a fast-paced trading environment.

As VP of Engineering and AI Innovations, lead software development for AI products, enhance features, and manage product evolution in a team-first culture.

Lead the AI team, develop AI solutions for semiconductor processes, enhance tool operations, and mentor engineers. Define strategies and architectures for AI integration.

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.

This role involves providing training on Generative AI, offering guidance for OPT STEM extension, and supporting trainees with questions and materials.

Develop and maintain web-based tools for AI/ML practitioners, improve model observability, enhance user experience, and collaborate cross-functionally. Drive product excellence and improve systems and codebase.

Lead the design and development of software applications, collaborate with teams, mentor developers, and improve codebases to meet business goals.

The Applied AI Engineer will advise AI startups, develop scalable architectures, create technical resources, and collaborate with engineering teams to enhance product development using the Claude platform.

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

Develop Python-based ML components for spatial data quality, design robust software, and collaborate in an Agile environment.

The Senior Software Engineer will design and build GenAI-powered applications, focusing on both backend systems and user-friendly interfaces. Responsibilities include developing responsive UIs, implementing LLM integrations, and ensuring operational excellence for AI systems.

The role involves building AI-powered fashion automation systems using Clojure and ClojureScript, managing workflows, data models, and integrating LLMs for product recommendations and content generation.

Design and deliver customer-facing applications using Agentic technologies, maintain backend REST servers, and collaborate with cross-functional teams to build scalable solutions.

Lead technical direction for AI across products, architect RAG services, mentor engineers, and ensure compliance in AI usage.

The Senior Solutions Architect will design and support AI infrastructure using NVIDIA GPUs, engage with technical stakeholders, and ensure successful implementation of solutions to enhance customer satisfaction.