AI Engineer Internship

silverlogic; Boca Raton (FL); On-site; USD 20,664 - 34,440; Part time

Job summary

silverlogic is seeking an AI Engineer Intern for a role based in Boca Raton. This internship involves collaborating with AI Consultants and Engineers to build automation workflows and integrate AI into client solutions.

Candidates should have knowledge of low-code platforms like n8n or Zapier and basic Python skills. The internship lasts 3 to 6 months, offers flexible hours, and allows for hybrid work.

Qualifications

• Familiarity with at least one cloud environment.
• Understanding of production-level systems.
• Curiosity and desire to learn.

Responsibilities

• Build and maintain automation workflows.
• Integrate AI APIs into client solutions.
• Support the development of AI pipelines.

Skills

Low-code platforms (n8n, Make, Zapier)

Python

API integration

Problem-solving skills

Strong communication skills

Education

Pursuing or holding a degree in Computer Science, Engineering, Data Science or related field

Tools

AWS

Azure

GCP

Job description

Position Summary

AI Engineer Intern helps turn AI strategies into functioning systems. Working closely with AI Consultants, Engineers, Technical Leads, and PhD-level AI experts, this role supports the hands‑on delivery of AI workflows, automations, integrations, and supporting infrastructure for real client projects. This role focuses on building and maintaining low‑code automations, integrating AI APIs into client solutions, supporting data pipelines, documenting work, and ensuring system reliability.

Key Responsibilities

• Build, test, and maintain automation workflows across tools such as n8n, Make, Zapier, or internal low‑code platforms.
• Integrate AI APIs, including LLMs, vision models, and similar services, into client‑facing tools, workflows, and pipelines.
• Assist in implementing AI blueprints and concepts into working, production‑ready systems.
• Support the development, troubleshooting, and optimization of existing AI pipelines for performance, reliability, and scalability.
• Help build custom GPTs, prompt workflows, data processing flows, and AI‑powered internal tools.
• Research, test, and benchmark new AI tools, frameworks, and services to improve solution quality.

Infrastructure & Operations

• Contribute to observability and monitoring efforts, including error tracking, performance checks, gap analysis, and reliability reviews.
• Set up data pipelines, dashboards, and reports to track results, surface insights, and support client decision‑making.
• Help configure cloud or on‑prem environments for AI workloads.
• Support documentation, versioning, handoff materials, and lifecycle hygiene for the tools and workflows built.
• Troubleshoot and optimize workflows to improve system consistency, uptime, and maintainability.

Collaboration & Delivery

• Work with consultants and engineers to translate business goals into clear technical execution.
• Communicate progress, blockers, and results clearly in standups, written updates, and team discussions.
• Provide complete, well‑documented solutions that are ready for internal review or client handoff.
• Collaborate with technical and non‑technical team members to make AI solutions understandable and usable.
• Participate in Agile/Scrum workflows and use tools such as Jira, Trello, or similar platforms to manage tasks and priorities.

What We Are Looking For

The strongest candidates combine solid technical fundamentals with curiosity, ownership, and strong communication skills.

Required

• Working knowledge of at least one low‑code or automation platform such as n8n, Make, Zapier, or a similar tool.
• Basic Python skills.
• Clear written and verbal communication skills.
• Comfort explaining technical work to non‑technical people.
• Curiosity, ownership, and a genuine desire to learn and collaborate.
• Strong organizational habits and the ability to track multiple tasks.

Needed

• Comfort integrating APIs and working with LLMs or other AI services.
• Familiarity with at least one cloud environment such as AWS, Azure, or GCP.
• Understanding of how production‑level systems are built, maintained, monitored, and improved.
• Ability to research, test, and compare new AI tools or frameworks.
• Strong problem‑solving skills and attention to detail.

Nice To Have

• Experience with AI/ML frameworks or tools such as LangChain, FastAPI, PyTorch, or similar technologies.
• Familiarity with model deployment, MLOps concepts, or AI system lifecycle management.
• Pursuing or holding a degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, Data Engineering, or a related technical field.
• Master’s degree or graduate‑level coursework in AI, ML, Data Engineering, or a related field is a plus.
• Familiarity with Agile/Scrum, Jira, Trello, basic DevOps, QA processes, or UX principles.
• Experience with dashboards, analytics tools, or data visualization.

Learning Outcomes

• Gain hands‑on experience building and shipping AI automations and integrations for real clients.
• Learn how AI consulting strategy translates into working technical implementation.
• Develop practical skills in API integration, data pipelines, observability, cloud basics, and low‑code automation.
• Build confidence presenting and explaining your work to technical and non‑technical stakeholders.
• Understand the end‑to‑end delivery of applied AI systems from concept to production.
• Learn directly from senior engineers, Technical Leads, and PhD-level AI experts working on live client initiatives.

Mentorship & Support

Interns receive direct guidance from BRDGIT AI Engineers, Technical Leads, and PhD‑level AI experts. Structured check‑ins and a feedback session at the end are part of the internship program.

Internship Details

• Duration: 3 to 6 months, with a flexible start date.
• Location: Hybrid, Boca Raton HQ or remote.
• Time Commitment: 15 to 25 hours per week.
• Hiring Timeline: Position is open, immediate hiring.

Company Culture & Values

• Hungry – Ambitious and eager to learn and achieve results.
• Humble – Open to feedback and focused on team success over ego.
• Smart – Emotionally intelligent and skilled at building trust and collaboration.

Equal Opportunity Employment

The SilverLogic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.