AI Engineer Internship
The SilverLogic is a custom software development and technology solutions partner specializing in business automation and AI-powered innovation. The AI Engineer Intern will help turn AI strategies into functioning systems, supporting the technical delivery of AI workflows and custom tools while collaborating with experienced engineers and AI experts.
Responsibilities
- Assist in implementing AI blueprints and concepts into production-ready systems
- Participate in building, training, and deploying custom AI models, including GenAI, computer-vision, and predictive-analytics applications
- Support the development and optimization of existing AI pipelines for performance and scalability
- Build and manage workflows across tools such as Zapier, Make, n8n, or internal low-code platforms
- Deploy and configure cloud or on-prem environments for AI workloads
- Contribute to observability and gap-analysis efforts to ensure reliability and system health
- Set up data pipelines, dashboards, and reports to track results and insights
- Support MLOps processes, including model versioning, validation, and lifecycle management
- Help to maintain and evolve system architecture for reliability, security, and compliance
- Work with consultants to translate business goals into clear technical execution
- Research, test, and benchmark new AI tools and frameworks to enhance solution quality and performance
- Provide complete, well-documented solutions for client delivery
- Troubleshoot and optimize workflows to ensure system consistency and uptime
Skills
- Pursuing or holding a Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
- Interest in building, training, and deploying AI models in language, vision, or analytics domains
- Knowledge of developing and maintaining production-level systems
- Familiarity with cloud environments (AWS, Azure, GCP) and API integrations
- Proficiency in Python and familiarity with AI/ML frameworks such as LangChain, FastAPI, or PyTorch
- Curiosity for exploring new tools, frameworks, and applications across disciplines
- Strong desire to learn, collaborate, and grow in all areas of AI engineering
- Strong analytical thinking and business acumen to connect technical solutions to strategic outcomes
- Excellent organizational and communication skills, capable of managing multiple priorities across teams
- Expertise in Agile and Scrum methodologies and solid understanding of the SDLC
- Skilled in Jira, Trello, or similar project management platforms
- Experience using and implementing product analytics tools (Mixpanel, Google Analytics) and applying insights to inform roadmap and prioritization decisions
- Ability to manage and track budgets, scope, and profitability metrics throughout delivery
- Strong negotiation and conflict-resolution abilities for client and internal alignment
- Master's in Artificial Intelligence, Machine Learning, or Data Engineering is a plus
- Familiarity with UX principles, QA processes, and DevOps concepts is advantageous
Company Overview
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