Top Software Engineer Jobs

Design and implement AI-powered automation systems, build scalable backend services, make architectural decisions, and collaborate with product and data teams.

The Staff Salesforce Technical Architect will design scalable Salesforce solutions, lead integrations, establish best practices, optimize performance, and collaborate with stakeholders for the Go-To-Market teams.

Drive the architecture, design, implementation, and evaluation of AI systems and data platforms while mentoring teams and contributing to technical strategies.

The Engineering Manager drives architecture and design for AI systems, mentors teams, and plans technical roadmaps for the Map AI Platform.

As a Senior Product Engineer, you will develop web applications, APIs, and AI workflows, collaborating from conception to delivery and owning the entire process.

The role involves delivering solutions to technical problems, optimizing APIs, transforming requirements into tasks, mentoring, and participating in hiring.

The Software Engineer will build AI-powered chatbot workflows, own features end-to-end, and collaborate in a fast-paced environment. Ideal candidates have a strong engineering foundation and experience with AI development tools, focusing on enhancing software processes.

Build AI-powered platforms and tools, focusing on backend services in Python, integrating LLM capabilities, and ensuring performance and reliability.

Lead design, development, and delivery of Java and AI-powered applications using Python, Spring Boot, and Oracle PL/SQL. Perform systems analysis, develop and refine AI agents, manage AI-focused projects end-to-end, mentor developers, collaborate with stakeholders, and ensure solutions meet performance, compliance, and business objectives under tight deadlines.

Intern will assist the engineering team in optimizing blockchain data queries and contribute to AI initiatives at Allium. Expect to learn from experienced engineers and gain hands-on experience.

Lead the optimization and performance analysis of distributed training and inference workloads on NVIDIA GPU platforms, with responsibilities including debugging, benchmarking, and ensuring reliability of large-scale AI systems.

Develop and optimize AI training pipelines, collaborate with researchers, ensure reliability and performance of training systems, and integrate advanced algorithms.

Design, develop, and maintain full-stack applications; lead technical discussions, mentor junior members, and improve products and technologies.

As a Senior Backend Engineer in Conversational AI, you will design and implement intelligent systems, lead technical projects, mentor teammates, and ensure the quality of your team's code while collaborating with cross-functional partners.

The Senior Engineer, AI and Automation role involves designing AI-powered systems, maintaining infrastructure, building integrations, and establishing MLOps while collaborating with various teams on enterprise applications.

Design, build, and operationalize AI agentic solutions across the software lifecycle. Own backend responsibilities, contribute to frontend, define technical requirements, deliver maintainable code, collaborate with clients, and stay current with AI, LLM orchestration, and evaluation practices.

The Automation Engineer will design, maintain automation equipment, support sites, develop solutions, and ensure timely delivery of automation requirements.

The Principal Software Engineer will design, implement, and lead AI security product development, focusing on scalable software solutions across cloud platforms and driving engineering best practices.

The Forward Deployed AI Engineer designs, builds, and deploys intelligent applications using Python and related technologies, addressing customer needs and leading deployment projects.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

The role involves building AI platform capabilities, mentoring engineers, collaborating with teams, and scaling systems for large datasets as part of a legal tech transformation.

Lead architecture and implementation of the AI Private Banker full-stack platform: build Flutter mobile apps, design distributed backend services powering recommendation engines and conversational AI, integrate ML outputs into user experiences, drive technical roadmaps, mentor engineers, and ensure scalability and operational excellence across platforms.

Entry-level developer rotational role building AI-driven automations and low-code applications. Responsibilities include LLM orchestration, intelligent document processing (OCR + AI), API integrations, prompt engineering, testing, version control, data retrieval/transformation, and operating within regulated banking governance to improve business processes and customer experiences.

Lead Life360's Data Engineering organization and own end-to-end data platform and analytics engineering strategy. Define architecture for ingestion, transformation, modeling, and serving data for humans and LLMs. Manage engineering managers and teams, drive self-serve data capabilities, cost management, vendor decisions, data quality/governance, and partner cross-functionally to prioritize engineering work that drives business impact.

The Enterprise AI Platform Engineer transforms AI prototypes into production systems, focusing on deployment, security, solution architecture, and developer support.