
AI Services and Platforms Software Engineer Intern
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Alabama, +46 more states.
• Develop scalable, cloud-native software solutions tailored for next-generation Generative AI applications
• Design and implement reusable APIs, microservices, backend components, and orchestration capabilities for enterprise-level AI solutions
• Support products that utilize Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and other innovative GenAI functionalities
• Contribute to the architecture, development, testing, deployment, and optimization of backend solutions
• Create Python-based microservices
• Design RESTful APIs
• Establish backend capabilities for RAG and AI agent solutions
• Engage in system architecture and design discussions
• Write automated testing scripts
• Deploy services onto cloud infrastructures
• Enhance system performance and observability
• Participate in unit projects and initiatives
• Conduct research and provide reports, including recommendations or alternative proposals when needed
• Undertake related studies, enrichment programs, and assigned job responsibilities
• Candidates must be authorized to work independently in the U.S.
• Bachelor’s degree required
• Enrollment in a graduate degree program, either full or part-time, at an accredited college or university
• Actively pursuing a Master's degree in Computer Science, Software Engineering, or a related technical discipline
• Strong expertise in Python with a background in backend application development
• Familiarity with backend frameworks such as FastAPI, Flask, Django, or similar technologies
• Comprehensive understanding of software engineering and system design principles
• Knowledge of APIs, distributed systems, service orchestration, and API lifecycle management
• Must adhere to HIPAA, data security standards, company policies, relevant laws, and training requirements
• Practical training and experience within the business sector
• Mentorship from seasoned software engineers, architects, and AI experts
• Direct involvement in production-level software engineering
• Engaging project work
• Opportunity to enhance software engineering and architectural skills
• Exposure to distributed systems, cloud technologies, containerization, APIs, performance monitoring, and contemporary DevOps practices
Agility Robotics
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