Job Description

Locations

• IL

Skills Required

• oneintermediate
• cloud platformsintermediate

Required Qualifications

• Currently pursuing an M.Sc. or M.A. degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical field, with at least 3 semesters remaining (degree in m)
• Currently pursuing an M.Sc. or M.A. degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical field, with at least 3 semesters remaining (degree in m)
• Programming experience in one or more general-purpose languages such as Python, C#, Java, JavaScript/TypeScript, C++, or similar. (experience)
• Programming experience in one or more general-purpose languages such as Python, C#, Java, JavaScript/TypeScript, C++, or similar. (experience)
• Understanding of core computer science fundamentals, including data structures, algorithms, software design, and debugging. (experience)
• Understanding of core computer science fundamentals, including data structures, algorithms, software design, and debugging. (experience)
• Ability to communicate clearly, collaborate effectively, adapt across technologies and engineering tasks, and learn quickly in a team environment. (experience)
• Ability to communicate clearly, collaborate effectively, adapt across technologies and engineering tasks, and learn quickly in a team environment. (experience)

Preferred Qualifications

• Currently pursuing a Doctorate in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical field, with at least one semester/term remaining after the internship. (experience)
• Currently pursuing a Doctorate in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical field, with at least one semester/term remaining after the internship. (experience)
• 1+ year of programming experience. (experience, 1 years)
• 1+ year of programming experience. (experience, 1 years)
• 6+ months of experience delivering projects in teams, through coursework, internships, open-source work, research, or personal projects. (experience)
• 6+ months of experience delivering projects in teams, through coursework, internships, open-source work, research, or personal projects. (experience)
• 1+ year of experience developing and applying data structures and algorithms. (experience, 1 years)
• 1+ year of experience developing and applying data structures and algorithms. (experience, 1 years)
• Familiarity with AI, machine learning, generative AI, LLMs, agents, retrieval-augmented generation, prompt engineering, or evaluation methods. (experience)
• Familiarity with AI, machine learning, generative AI, LLMs, agents, retrieval-augmented generation, prompt engineering, or evaluation methods. (experience)
• Basic familiarity with cloud platforms, REST APIs, SDKs, CI/CD, telemetry, or observability. (experience)
• Basic familiarity with cloud platforms, REST APIs, SDKs, CI/CD, telemetry, or observability. (experience)
• Interest in responsible AI, security, reliability, and building software for regulated or sovereign cloud environments. (experience)
• Interest in responsible AI, security, reliability, and building software for regulated or sovereign cloud environments. (experience)
• Demonstrated entrepreneurial mindset, creativity, initiative, ownership, and persistence in identifying meaningful problems, exploring unconventional solutions, and turning ambiguous ideas into tangible outcomes in “0 to 1” product spaces. (experience)
• Demonstrated entrepreneurial mindset, creativity, initiative, ownership, and persistence in identifying meaningful problems, exploring unconventional solutions, and turning ambiguous ideas into tangible outcomes in “0 to 1” product spaces. (experience)
• This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. (experience)

Responsibilities

• Develop, test, debug, and maintain software components for AI-powered products, services, or internal tools.
• Develop, test, debug, and maintain software components for AI-powered products, services, or internal tools.
• Contribute production-quality code that is maintainable, secure, performant, and aligned with team standards.
• Contribute production-quality code that is maintainable, secure, performant, and aligned with team standards.
• Partner with mentors, engineers, product managers, and stakeholders to understand user requirements and translate them into engineering tasks.
• Partner with mentors, engineers, product managers, and stakeholders to understand user requirements and translate them into engineering tasks.
• Contribute to AI features such as agents, tool/API integrations, prompt flows, retrieval workflows, evaluation harnesses, and monitoring capabilities.
• Contribute to AI features such as agents, tool/API integrations, prompt flows, retrieval workflows, evaluation harnesses, and monitoring capabilities.
• Help define and run tests, evaluations, and quality checks for AI behavior, including accuracy, relevance, groundedness, and reliability.
• Help define and run tests, evaluations, and quality checks for AI behavior, including accuracy, relevance, groundedness, and reliability.
• Investigate issues using logs, traces, test results, and debugging tools, and incorporate feedback into improved solutions.
• Investigate issues using logs, traces, test results, and debugging tools, and incorporate feedback into improved solutions.
• Learn and apply engineering best practices across code quality, security, responsible AI, CI/CD, documentation, and observability.
• Learn and apply engineering best practices across code quality, security, responsible AI, CI/CD, documentation, and observability.
• Document work clearly and share implementation details with team members to support continuity and knowledge sharing.
• Document work clearly and share implementation details with team members to support continuity and knowledge sharing.
• Collaborate effectively with team members in a dynamic, ambiguous environment; adapt quickly across technologies, stacks, and engineering tasks; proactively seek and incorporate feedback; and contribute to shared goals while building technical depth.
• Collaborate effectively with team members in a dynamic, ambiguous environment; adapt quickly across technologies, stacks, and engineering tasks; proactively seek and incorporate feedback; and contribute to shared goals while building technical depth.

Benefits

• general: Flexibility: Balance what matters—your work, your life, and your team—through trust, autonomy, and shared accountability
• general: Growth: Stretch your skills, expand your impact, and grow with support that meets you where you are
• general: Wellbeing: Support for your body, mind, and financial future—so you can stay energized and do your best work
• general: Community PCS: Find your people, build your network, and feel supported every step of the way

Travel Requirements

Less than 25%

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