Job Closed
This listing is no longer active.
SponsorUnited provides the most comprehensive sponsor data platform to help properties & brands connect + drive revenue.
Software Engineering Intern
Location
United States
Posted
35 days ago
Salary
0
Seniority
Entry Level
Job Description
Software Engineering Intern
SponsorUnited
• Contribute to ongoing product and engineering initiatives by supporting feature development and platform enhancements • Assist in designing and refining product features, internal tools, and scalable data workflows • Write, test, and debug code with guidance from engineering team members • Participate in standups, sprint planning, and code reviews to support high-quality delivery • Collaborate cross-functionally with product, data, and engineering teams to enhance user experience and improve data usability • Assist in troubleshooting and resolving bugs and performance issues • Leverage AI development tools (e.g., ChatGPT, Claude, Cursor, GitHub Copilot) to accelerate coding and problem-solving • Contribute to AI-enabled features, workflows, or internal tools using LLMs and automation frameworks • Contribute to a defined project or key initiative throughout the internship • Present key learnings, outcomes, and contributions at the conclusion of the internship
Job Requirements
- Currently pursuing a degree in Computer Science, Software Engineering, Data Science, Computer Engineering, or a related field
- Demonstrated experience with at least one programming language (e.g., Python, JavaScript, or similar)
- Hands-on experience using AI development tools (e.g., ChatGPT, Claude, Cursor, GitHub Copilot) in your workflow
- Familiarity with LLM concepts, prompt engineering, or building AI-assisted applications (projects, coursework, or personal work)
- Basic understanding of APIs, databases (SQL or similar), and version control (Git)
- Strong problem-solving skills and attention to detail
- Ability to work both independently and collaboratively in a team environment
- Ability to showcase relevant side projects or a GitHub portfolio (AI-related work strongly preferred)
- Strong communication skills
Benefits
- Gain hands-on experience working on a live SaaS product used by global brands and organizations
- Exposure to real-world engineering workflows (agile development, version control, code reviews) and modern AI-assisted development practices
- Mentorship from experienced engineers and product leaders
- Build a portfolio of impactful technical and AI-driven projects within a growing SaaS company
- Top-performing interns who consistently deliver strong results and earn high evaluations may have the opportunity to transition into full-time roles
Related Guides
Related Job Pages
More Full-stack Engineer Jobs
Tech Lead, React Native
redbeeConnecting businesses and technology expertise. Conectando negocios con expertise tecnológico.
• Liderar un equipo de desarrollo mobile, asegurando la adopción de mejores prácticas de ingeniería • Diseñar e implementar soluciones escalables, robustas y de alta calidad • Definir la arquitectura de aplicaciones mobile y participar en decisiones técnicas clave • Desafiar el status quo tecnológico, participando en la planificación del roadmap y estimaciones de alto nivel • Ser referente técnico del equipo, combinando hands-on en código con liderazgo • Mentorear y acompañar el crecimiento del equipo, promoviendo autonomía y toma de decisiones • Interactuar con distintos stakeholders para llevar adelante features end-to-end, desde su definición hasta producción
Full-Stack Engineer
XsollaXsolla is a global gaming technology company whose platform is used by game developers and publishers to streamline operations and “bring their games to the world." The company h
• Contribute to the development and maintenance of full-stack applications that power core products and platforms. • Build responsive, performant user interfaces using React. • Develop and maintain backend services using Go and event-driven architectures. • Work with microservices in containerized environments using Docker and Kubernetes. • Participate in architecture discussions and contribute ideas that improve performance and maintainability. • Collaborate with engineers, product managers, designers, and QA to deliver features end-to-end. • Monitor and debug your code in production, contributing to application reliability and performance improvements. • Write automated tests and follow CI/CD best practices to ensure quality deployments. • Participate in code reviews, technical discussions, and knowledge sharing across teams. • Join on-call rotation to support production systems and assist in incident response.
• Design, implement and deliver scalable AI-centric software systems. • Drive the development of agentic AI capabilities for identifying vulnerabilities, automating penetration testing processes, workflow optimization and enhancing threat intelligence. • Own and drive the end-to-end development of product features from ideation to production deployment and monitoring. • Actively contribute to and drive the design and implementation of AI-enabled systems, promoting effective SDLC processes. • Lead technical discussions, code reviews and design sessions, sharing your expertise to uplift the team's capabilities. • Provide mentorship and support to junior engineers, encouraging professional growth and development. • Collaborate closely with cross-functional teams to integrate AI capabilities into broader systems and applications.
Lead Software Engineer
BEST IN SYSTEMS TECHNOLOGY RESEARCH & DEVELOPMENT CORPORATIONSWE BUILD INNOVATIVE DEVICES AND SOLUTIONS
• Support the design and implementation of flexible software solutions • Collaborate with multi-disciplinary project teams and provide high-impact, unique solutions for our customers’ most important problems • Initially support system integration and testing for a mature mission planning solution transitioning to an active user community • Subsequent projects driven by the intersection of interests with our expanding R&D portfolio • Involve periodic travel, up to 20%




