Top Software Engineer Jobs

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.

As a Principal Software Engineer, you'll architect version 2 of an AI claims management platform, designing complex systems for insurance claims handling while mentoring engineers and collaborating with leadership.

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

The Staff Software Engineer will lead the development of AI Claims Guidance software, building scalable APIs and backend services while collaborating with product and data teams to enhance insurance technology.

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.

As a Principal Software Engineer, you will lead AI networking system transformations, manage complex customer engagements, and influence NVIDIA's networking technologies.

Lead the development and implementation of applications systems, coordinate teams, provide technical expertise, and resolve complex business problems, particularly in the financial services sector.

The Principal Software Engineer will design and develop innovative AI-driven solutions for the banking industry, lead engineering teams, and ensure quality software practices while implementing GenAI applications within the SDLC.