AI Developer

At E Tech Group, joining our team means joining a group of passionate and forward-thinking experts. We’re one of the largest engineering and system integration firms in the United States providing value for our clients through IT automation and control solutions for more than 30 years to the Life Sciences, Mission Critical, Metals & Mining, Warehousing & Distribution, and CPG/Food & Beverage industries. Our national and global scale allows us to help our clients develop and implement standardized solutions at any of their facilities regardless of physical location or the local resources available at that site.

Do you stay up to date on the latest AI technologies and have the ability to transform business needs into practical, scalable AI solutions?  We are seeking an AI Developer to develop, deploy, and manage models that automate processes or uncover insights from data. This position emphasizes creating robust AI applications using contemporary machine learning, generative AI, and advanced data infrastructure tools.

You will:

Design and implement AI/ML systems for practical use

Develop, train, evaluate, and deploy machine learning and deep learning models

Build LLM-based agents, RAG systems, and conversational apps

Maintain scalable pipelines for data ingestion, training, and inference

Apply automated model training, monitoring, and deployment best practices

Optimize model performance and cost in production

Integrate AI into software, APIs, and cloud platforms

Collaborate with product, engineering, and domain teams to shape AI solutions

Keep current on AI technologies, frameworks, and research

Document architectures and implementations for internal use

Be an ambassador who embodies our Core Values, prioritizing the success of E Tech Group, our clients, and the professional development of our associates.

You have:

Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or related field

3+ years building production software or ML systems

Proficient in Python, C#, TypeScript; Java or C++ a plus

Experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)

Familiar with large language models and generative AI

Strong grasp of statistics, machine learning, and model evaluation

Experience developing scalable systems and APIs

Proficiency in front-end development

Knowledge of data engineering and large dataset handling

A DNA comprised of collaboration and teamwork.

You may have:

Skilled in building LLM applications (RAG, agents, semantic search, copilots)

Proficient with vector databases and embedding pipelines

Experienced in MLOps and model lifecycle management

Knowledgeable about AI orchestration frameworks and agent systems

Familiar with containerization and cloud platforms, especially Azure; also AWS/GCP

Hands-on experience with distributed systems or GPU training