Top Software Engineer Jobs

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.

Design, develop, and deploy web and cloud applications using .NET, C#, Azure, Angular, React, and related technologies. Collaborate with clients to gather requirements, define goals, and recommend solutions. Participate in Agile/Scrum planning, code reviews, mentoring, testing, and DevOps practices. Explore AI-assisted development tools and help establish effective AI workflows. The role involves continuous learning, client engagement, and delivery of enterprise software and AI automation solutions.

Build end-to-end software features across frontend, backend, and AI components. Responsibilities include developing interfaces, APIs, backend services, data pipelines, automation workflows, and LLM-powered applications such as RAG systems and AI agents. The role involves testing, documentation, debugging, cross-functional collaboration, product iteration, and using AI coding tools to improve development speed and quality.

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.

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

The Principal Architect for Netsmart leads the architecture for platforms and products, promoting AI-driven innovation and collaborating across teams to deliver scalable solutions.

Software engineering intern who designs, develops, tests, maintains, and troubleshoots applications, APIs, integrations, services, and data solutions. Uses AI-assisted tools for implementation, testing, documentation, debugging, and refactoring while critically validating generated code. Participates in Agile ceremonies, source control, pull requests, peer reviews, CI/CD, and cross-functional collaboration with product, design, QA, and engineering teams.

Lead technical design and hands-on execution for complex products and systems. Design scalable architectures, write and review code, solve production issues, make technical trade-offs, mentor engineers, improve engineering practices, and drive initiatives from problem definition through production. Collaborate with product, design, and AI teams while owning system reliability, security, testing, observability, and continuous improvement in a distributed global environment.

Lead a distributed engineering team building and scaling customer-facing products. Own delivery, architecture, reliability, technical quality, production outcomes, engineering standards, and team development. Collaborate across product, design, mobile, backend, and AI teams to turn ambiguous problems into shipped solutions. Coach engineers, manage performance, improve processes and automation, resolve incidents, and build a high-performing culture focused on ownership, speed, and technical excellence.

Lead and manage a distributed engineering team building scalable financial products. Own technical architecture, delivery, reliability, production outcomes, engineering standards, and cross-functional execution. Coach engineers, manage performance, improve processes and automation, resolve incidents, and maintain a high bar for technical quality and customer impact. The role requires hands-on technical leadership across frontend, backend, APIs, databases, distributed systems, cloud infrastructure, and AI collaboration.

Lead technical design and execution for complex products and engineering initiatives. Build scalable systems across backend, frontend, APIs, databases, and infrastructure while remaining hands-on with coding, reviews, debugging, and production support. Set standards for architecture, reliability, security, testing, and observability; mentor engineers; identify technical risks; improve tooling and automation; and collaborate with product, design, and AI teams to ship high-quality products.

Lead a distributed engineering team across frontend, backend, and full-stack development. Own architecture, delivery, reliability, production outcomes, engineering standards, and technical quality for major product areas. Partner with product, design, mobile, backend, and AI teams to turn ambiguous problems into shipped products. Coach engineers, manage performance, improve processes and automation, resolve incidents, and build a high-performing engineering culture focused on ownership and measurable customer outcomes.

Lead technical design and execution for complex products and engineering initiatives. Build scalable systems, write and review code, make architecture decisions, debug production issues, improve reliability, mentor engineers, and collaborate with product, design, and AI teams. The role requires end-to-end ownership from ambiguous problem definition through production, with strong product judgment and hands-on technical leadership.

Lead a distributed engineering team across frontend, backend, and full-stack development. Own architecture, delivery, reliability, technical standards, production outcomes, and engineering processes for products serving millions of users. Partner with product, design, mobile, backend, and AI teams to turn ambiguous problems into shipped solutions. Coach engineers, manage performance, raise technical standards, and drive a culture of ownership, speed, and continuous improvement.

Lead a distributed engineering team building and scaling customer-facing products. Own technical architecture, delivery, reliability, engineering standards, production outcomes, and continuous improvement across frontend, backend, APIs, databases, infrastructure, and AI integrations. Coach engineers, manage performance, resolve incidents, make technical trade-offs, and connect engineering execution to customer and business outcomes in a fast-moving global environment.

Develop backend systems for 3D AutoReview, including geometry parsing, model analysis, quality detection, rule systems, scalable APIs, and AI-assisted review workflows. Collaborate with backend, frontend, product, and machine learning teams to deliver production features. Build extensible systems for custom 3D rules and reference data while experimenting with CAD, machine learning, and large language model technologies.

The Azure AI Applications Engineer will lead the development and implementation of intelligent applications using Azure AI services, while architecting solutions, mentoring junior engineers, and collaborating on project delivery across multiple sectors.

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.

As a Senior AI Product Engineer, you will build scalable services and front-end applications, design APIs, and enhance AI product offerings, focusing on improving user experience and collaboration with engineering teams.

As a Founding Full-Stack Engineer, you'll build AI-native systems, integrating LLMs, prototyping quickly, and collaborating to influence engineering standards and culture.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

The Forward Deployed Engineer will embed within customer teams to solve complex business problems, drive AI adoption, and provide feedback to the Product team.

Own and architect the frontend foundation for Handshake AI Enterprise: establish component system, design tokens, engineering patterns, shared libraries, and ship production-grade UIs while collaborating with AI and platform teams to ensure scalable, maintainable, high-performance enterprise deployments.

Build frontend experiences for autonomous AI agents, including conversational interfaces, memory and context views, live run timelines, approval flows, worker configuration, and reusable agentic components. Develop real-time interfaces using streaming, WebSockets, and server-sent events while managing complex client state, reconnection, partial results, and failure recovery. Collaborate with backend and agent engineers to shape APIs and deliver fast, accessible, polished products.

Build production-ready AI-native applications, agentic workflows, cloud infrastructure, data platforms, integrations, and DevOps systems supporting nuclear engineering workflows. Responsibilities may span front-end/full-stack development, agentic AI, data and systems integration, or platform infrastructure. The role partners with systems engineering, licensing, and quality teams, documents architectures, maintains development and QA standards, and supports reliable, compliant delivery in a hybrid environment.