Software Engineering; AI, BI, DevOps in Tampa

Job Description

Job Description
Employment Type: Paid

Duration: 6-month with the possibility to extend based on performance and project needs Eligibility: U.S. or Green Card Holder

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 Dev Ops.

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.

• 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.

• 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.

• 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.

• Learn to deploy and monitor applications using Docker, Kubernetes, and CI/CD pipelines.
• Gain exposure to Git Ops 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.

• 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.

• Strong foundation in one or more programming (Python, JavaScript/Type Script, 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, Tensor Flow, 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.

• 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 Dev Ops 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.

Job Type:

Pay: $15.00 - $16.00 per hour

Work Location:

In person