Top Software Engineer Jobs

The Chief Engineer will set the technical vision for AI and machine learning programs, manage execution, and lead multi-disciplinary teams to deliver innovative solutions.

Lead software development for AI, ML, and decision systems, manage technical teams, and drive innovation for National Security solutions.

Develop and operate guardrails and API services for Generative AI systems, leading projects and addressing technical challenges in AI technology.

Lead discovery, prototype, and productionalize AI automation across functions. Build LLM-based agents and copilots, write production-quality Python/Golang services, ensure security and responsible AI, drive adoption, measure ROI, and collaborate with core AI, legal, and business teams.

The Staff Software Engineer will design and maintain ML inference runtimes, lead architectural initiatives, and collaborate with teams to optimize system performance and scalability.

Manage a team to train state-of-the-art AI models, work with clients on solutions, and improve products with data-driven insights.

Design and develop AI conversational agents and intelligent search systems. Collaborate on scalable AI solutions, mentor team members, and enhance existing products.

Design and implement highly scalable microservices and platform components for AI detection services. Drive operational excellence and mentor team members.

The role involves building and evolving AI agent systems, implementing advanced AI algorithms, collaborating with teams, and mentoring junior engineers.

Lead design, development, testing, and deployment of Generative AI applications. Act as hands-on engineer and technical lead, resolve complex issues, mentor staff, and collaborate on scalable, secure solutions.

Design and deliver enterprise-grade Generative AI solutions while leading software engineering initiatives, collaborating across teams, and mentoring engineers.

Develop, test, and deploy generative AI applications within an engineering pod. Design, code, debug, and document low-to-moderate complexity projects, identify service improvements, ensure security and compliance, and collaborate with stakeholders to meet SLAs.

Lead a team of engineers in developing AI data platform services, focusing on system design, execution, and team culture. Oversee project outcomes and mentor team members.

Collaborate as a trusted engineering lead to design and build AI agents, develop across the full web technology stack, and enhance existing products in a Scrum Agile environment.

Design, build, and scale Zocdoc's AI Phone Assistant by integrating LLMs and conversational AI into production. Architect reliable microservices, lead prompt engineering and model integration, ensure system observability and performance, and collaborate with product, design, and data teams to evolve AI-driven workflows from prototyping to production.

In this full stack role, you will build features around data pipelines and LLMs, create web APIs, and work on analytics tools ensuring data quality and processing capabilities.

As a Distinguished Engineer, you'll lead technical initiatives in cloud banking, mentor teams, and develop advanced technology solutions while promoting engineering excellence.

Lead a team developing advanced applications using AI, ML, and Generative AI, overseeing projects and ensuring high-quality solutions that meet business goals.

Lead development of low-latency, scalable microservices for prime brokerage and equity finance. Design architectures, refactor legacy code, write high-quality Java, create RDBMS objects, implement distributed systems, build automated tests, leverage GenAI for productivity, and collaborate with product and users to deliver resilient, production-grade solutions.

The role involves designing and deploying GPU-based AI architecture, managing LLM workloads, and leading generative AI initiatives, requiring extensive software engineering and GPU experience.

Design, build, and maintain globally distributed, fault-tolerant backend microservices and data pipelines. Integrate and refine Large Language Models, collaborate cross-functionally, ensure high-quality code, testing, monitoring, and mentor other engineers while owning features end-to-end.

As a Senior Backend Engineer, you'll build features for AI integration, measure productivity changes, and support production operations in a SaaS environment.

Seeking a Senior Backend Engineer to develop backend systems for a Native AI platform, focusing on API design, data integration, and production software systems using Python and Django.

The Senior Backend Engineer, AI Systems will design features for a SaaS environment, manage complex data, and work with AI models. Responsibilities include implementation, support for production, and collaboration within an agile team.

Lead AI Orchestration engineering at Zapier, managing teams to innovate AI solutions, shaping tech direction, and driving customer experience through applied AI engineering.