AI Software Engineer

Location :   Middletown, PA - local candidates only

Position Type :   Hybrid, must be available to work onsite 1 week a month

Contract Length : 2 years

Position Overview :

The AI Engineer is responsible for designing, developing, and managing AI systems that autonomously generate content, including text and images. This role leverages deep learning and machine learning techniques to train models on large datasets, enabling AI systems to produce original, human-like content. The Engineer will design and implement generative AI solutions, including models leveraging Azure OpenAI , and optimize existing models to enhance performance and adaptability.

Duties :

Design, develop, and manage AI systems capable of autonomously generating content, such as text and images

Design, develop, and implement generative AI models leveraging Azure OpenAI

Leverage deep learning and machine learning techniques to train AI models on large datasets

Identify and implement the most effective algorithms to achieve desired model outcomes

Adjust and refine pre-existing models to enhance performance, adapt to new data, or meet specific project requirements

Apply expertise in generative models, including GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders)

Utilize NLP techniques for text parsing, sentiment analysis, and transformer-based models (e.g., GPT)

Manage data pre-processing, augmentation, and synthetic data generation to support model training

Duties :

5+ years of experience as an AI Engineer required (8+ years preferred)

Advanced programming skills in Python and experience with AI-centric libraries such as TensorFlow , PyTorch , and Keras

Proven expertise in generative AI models, including GANs and VAEs

Strong knowledge of NLP techniques and transformer-based models

Experience with large-scale data management, including pre-processing, augmentation, and synthetic data generation

Familiarity with Azure OpenAI and other cloud-based AI platforms

Strong problem-solving skills to identify and implement optimal algorithms