Junior FDE

Prism IT Global; Milford (OH); On-site; USD 90,000 - 150,000; Full time

Job summary

Prism IT Global in Milford, OH is seeking engineers who can design, develop, test, and deploy modern applications and integrations. You will build APIs, integrate systems, and create PoCs to validate business needs while leveraging AI/GenAI technologies for enterprise solutions.

The role requires hands-on Python, SQL, REST API experience, containerization with Docker/Kubernetes, and cloud proficiency across AWS/Azure/GCP, plus strong debugging and production support capabilities.

Qualifications

• Must have hands-on programming experience in Python with strong coding and debugging skills.
• Must have experience in SQL, data processing, and relational database concepts.
• Must have experience in developing and consuming REST APIs and enterprise integrations.
• Must have strong understanding of Data Structures, Algorithms, and Problem-solving techniques.
• Must have experience with Git, version control, and CI/CD practices.
• Must have working knowledge of Cloud Platforms (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
• Must have 1 year experience building or supporting AI/GenAI applications using LLMs, Prompt Engineering, and RAG concepts.
• Must have minimum 1 year experience in application troubleshooting, testing, deployment, and production Support.
• Understand customer business challenges and translate them into scalable technical solutions.
• Design, develop, test, and deploy applications, APIs, and integrations using modern engineering practices.
• Build Proof of Concepts (PoCs) and rapidly prototype solutions to validate business and technical requirements.
• Continuously evaluate and apply emerging technologies, including AI/GenAI capabilities, to solve enterprise problems
• Troubleshoot application, integration, and production issues through systematic debugging and root cause analysis.
• Work with Cloud, Containerization, and CI/CD technologies to support production deployments.

Responsibilities

• Design, develop, test, and deploy applications, APIs, and integrations using modern engineering practices.
• Build Proof of Concepts (PoCs) and rapidly prototype solutions to validate business and technical requirements.
• Continuously evaluate and apply emerging technologies, including AI/GenAI capabilities, to solve enterprise problems
• Troubleshoot application, integration, and production issues through systematic debugging and root cause analysis.
• Work with Cloud, Containerization, and CI/CD technologies to support production deployments.

Skills

Python

SQL

REST APIs

Data Structures & Algorithms

Git & CI/CD

Cloud & Containers

GenAI & LLMs

Production Support

Problem Solving

Prototyping & PoCs

System Debugging

Tools

Docker

Kubernetes

Job description

• Must have hands-on programming experience in Python with strong coding and debugging skills.
• Must have experience in SQL, data processing, and relational database concepts.
• Must have experience in developing and consuming REST APIs and enterprise integrations.
• Must have strong understanding of Data Structures, Algorithms, and Problem-solving techniques.
• Must have experience with Git, version control, and CI/C D practices.
• Must have working knowledge of Cloud Platforms (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
• Must have 1 year experience building or supporting AI/GenAI applications using LLMs, Prompt Engineering, and RAG concepts.
• Must have minimum 1 year experience in application troubleshooting, testing, deployment, and production Support.
• Understand customer business challenges and translate them into scalable technical solutions.
• Design, develop, test, and deploy applications, APIs, and integrations using modern engineering practices.
• Build Proof of Concepts (PoCs) and rapidly prototype solutions to validate business and technical requirements.
• Continuously evaluate and apply emerging technologies, including AI/GenAI capabilities, to solve enterprise problems
• Troubleshoot application, integration, and production issues through systematic debugging and root cause analysis.
• Work with Cloud, Containerization, and CI/CD technologies to support production deployments.