Junior AI Engineer: Build & Optimize AI Solutions

Emonics LLC; Philadelphia (Philadelphia County); On-site; USD 70,000 - 100,000; Full time

Job summary

Emonics LLC in Philadelphia is seeking a motivated Junior AI Engineer to contribute to developing, implementing, and optimizing AI-powered solutions. You will build and deploy AI applications using Python and ML frameworks, and work on RAG pipelines.

The role emphasizes learning, collaboration with senior engineers and data scientists, data processing, model evaluation, and staying current with AI technologies.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, or related field.
• Fundamental understanding of machine learning, deep learning, and AI concepts.
• Understanding of REST APIs, JSON, and integrating third-party services.
• Familiarity with Git and version control.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Assist in designing, developing, testing, and deploying AI and machine learning solutions.
• Develop and maintain AI-powered applications using Python and relevant AI/ML frameworks.
• Assist in building Retrieval-Augmented Generation (RAG) pipelines and AI-driven applications.
• Prepare, clean, and process datasets for model training and evaluation.
• Integrate AI models and APIs into existing applications and workflows.
• Evaluate model performance, troubleshoot issues, and optimize AI solutions.
• Collaborate with senior engineers, data scientists, and cross-functional teams.
• Stay updated with emerging AI technologies, tools, and industry best practices.

Skills

Python

Machine Learning

REST APIs

Git

Communication

Education

Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, or related field

Job description

Emonics LLC in Philadelphia is seeking a motivated Junior AI Engineer to contribute to developing, implementing, and optimizing AI-powered solutions. You will build and deploy AI applications using Python and ML frameworks, and work on RAG pipelines.

The role emphasizes learning, collaboration with senior engineers and data scientists, data processing, model evaluation, and staying current with AI technologies.