Software Engineering (AI, BI, DevOps) in Tampa

This is ideal for students or early-career technologists who enjoy solving complex problems, experimenting with emerging technologies, and contributing to meaningful, real-world projects. You will work alongside senior engineers on initiatives that support analytics, automation, and AI-driven solutions across our organization., Computer Vision & AI Projects · Collaborate on building, training, and testing machine learning or computer vision models. · Support data preprocessing, image labeling, and model evaluation. · Assist in developing RAG pipelines, integrating vector databases, and fine-tuning LLMs for internal knowledge systems. · Use Open WebUI and related frameworks to build and test conversational or AI assistant interfaces.

Automation & Workflow Engineering · Leverage n8n for building and orchestrating workflow automations between internal systems and APIs. · Integrate automation into business processes, dashboards, and AI/LLM pipelines. · Document and version automation workflows for reuse and maintainability.

Data & BI Dashboards · Assist in designing and developing dashboards using tools such as Power BI, Metabase, or Grafana. · Work with data engineers to visualize KPIs, operational metrics, and predictive insights. · Automate data pipelines and ETL processes using SQL, scripting, or n8n automation workflows.

DevOps & Infrastructure · Learn to deploy and monitor applications using Docker, Kubernetes, and CI/CD pipelines. · Gain exposure to GitOps tools such as Gitea, Argo CD, and Harbor for container registry and continuous deployment. · Assist in setting up and maintaining on-premise and cloud environments (AWS, Azure). · Participate in system automation, observability, and logging/monitoring initiatives.

Collaboration & Documentation · Work closely with engineers, data scientists, and leadership to deliver prototypes, reports, and production-ready modules. · Help document APIs, workflows, and system architecture for technical reference.

We are seeking a motivated Software Engineering to join our technical team and gain hands-on experience across several cutting-edge domains including Business Intelligence (BI), Computer Vision, Artificial Intelligence (AI), Large Models (LLMs), Retrieval-Augmented (RAG), and DevOps., · Strong foundation in one or more programming (Python, JavaScript/TypeScript, Java, or C#). · Solid understanding of SQL and relational databases (MySQL, PostgreSQL, etc.). · Familiarity with data visualization tools (Power BI, Metabase, Grafana). · Basic understanding of machine learning frameworks (PyTorch, TensorFlow, or OpenCV a plus). · Understanding of RAG, vector databases, and LLM integration workflows. · Experience or interest in automation tools such as n8n. · Basic knowledge of networking concepts, including DNS, firewalls, and network routing. · Experience or curiosity about cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes). · Comfortable using Linux and command-line tools. · Strong analytical mindset, attention to detail, and eagerness to learn. · Effective communication and documentation skills.

Learning Outcomes & Goals (First 90-180 Days) · Build and deploy a computer vision or AI prototype, incorporating LLM and RAG components. · Develop and deploy APIs for system integrations and AI workflows. · Design and implement one or more BI dashboards visualizing real operational data. · Create and automate workflows using n8n to connect data sources, dashboards, and AI services. · Gain experience with DevOps workflows using Gitea, Argo CD, Harbor, Helm, and Kubernetes. · Deploy and manage AI interfaces using Open WebUI, integrating internal models and data. · Present completed projects and findings to the engineering and leadership teams.