Top Software Engineer Jobs

Seeking a Principal Data Architect to lead enterprise data platform development, collaborate with teams, and design scalable data architectures using modern technologies.

As a Lead Software Engineer, you will design AI-driven backend systems for accounting, integrating LLMs, ensuring performance and security, and collaborating with teams on AI solutions.

The Director of Engineering will lead the Epiq AI Labs team, focusing on hands-on engineering and team management, and will ship production code while mentoring engineers and ensuring quality standards.

Lead the full development lifecycle, building scalable APIs and systems, mentoring engineers, and delivering impactful AI-driven software solutions.

Lead client engagements and own end-to-end solutions, prototyping while ensuring reliability and scalability. Mentor engineers and help define technical roadmap.

Develop and maintain features for an AI application platform, focusing on backend services, coding agents, collaboration, and operational excellence.

Lead development of AI agent frameworks for Windows, optimizing performance, ensuring security, and collaborating with AI research teams. Mentor engineers and establish best practices.

Develop and maintain AI systems, collaborate with teams, debug production issues, and mentor engineers to ensure high-quality AI features.

The role involves delivering features across the CRM platform for distributors, using AI tools, handling fullstack development tasks, and collaborating closely with teams and customers.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

Designs, develops, tests, deploys, and maintains payroll and AI-driven software solutions. Collaborates in agile teams, mentors junior engineers, builds test suites, improves performance, security, integrations, and operational monitoring while driving process improvements through automation and emerging technologies.

As a Lead Software Engineer, you will drive technical initiatives to develop the AskGartner AI platform, manage architecture decisions, mentor engineers, and collaborate across teams to deliver scalable solutions.

As a Backend Engineer, you will design and build backend systems and APIs for LangChain's observability and evals platform, optimizing performance and reliability while collaborating with cross-functional teams.

Lead architecture and build scalable, secure production services while championing AI-native development. Mentor engineers, influence technical direction, review PRs, and help evolve a legacy monolith to a modern stack in partnership with product and exec leadership.

The Application Engineer supports FANUC software for physical AI and virtual commissioning, providing technical assistance and developing applications and solutions for customers.

Design and implement systems software for high-performance GPU clusters. Debug complex distributed systems and own the systems lifecycle from design to production.

Lead and manage a team responsible for AI developer workflows and cloud agent platforms, ensuring reliability and guiding technical strategy. Collaborate with cross-functional teams to enhance engineering productivity through AI tools and workflows.

As a Senior Software Engineer, you will build and architect the AI infrastructure, focusing on agent orchestration and collaborating with cross-functional teams to enhance product features for a large user base.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

As a Senior Software Engineer, you will architect and build foundational systems for AI agents, focusing on agent orchestration, safety, and engineering standards, while collaborating with cross-functional teams to ship features at scale.

The role involves developing full-stack features swiftly, utilizing AI tools for coding, managing front and backend systems, and ensuring production quality through testing and CI.

Develop a unified AI platform by designing and building scalable applications, improving platform performance, and collaborating with ML engineers.

Develop, enhance, and maintain enterprise application features using AI-assisted tools. Participate in code reviews and improve application performance.

The Engineering Manager will lead a team in Applied AI, focusing on building scalable systems, driving evaluations to improve model performance, and managing engineering talent.

Develop the model serving platform for multimodal AI models, optimizing performance, collaborating with researchers, and ensuring reliable production infrastructure.