AI Application Developer

TechDigital Group; St. Louis (MO); On-site; USD 95,000 - 130,000; Full time

Job summary

TechDigital Group is seeking an experienced AI Application Developer / AI Engineer to design and deploy AI solutions in St. Louis, Missouri. The role focuses on hands-on work with data, models, and production systems.

Key responsibilities include building data pipelines and developing APIs for real-time AI applications. Proficiency in Python and frameworks like PyTorch or TensorFlow is essential, along with strong skills in machine learning and generative AI.

Qualifications

• Strong understanding of supervised and unsupervised learning techniques.
• Hands on experience with data preprocessing, cleaning, and exploratory data analysis.
• Experience building applications using Large Language Models (LLMs).
• Ability to design scalable AI architectures for training and inference.

Responsibilities

• Design, develop, and deploy end to end AI applications from data ingestion to production inference.
• Build data pipelines for data preparation, feature engineering, and model training.
• Select, train, evaluate, and optimize machine learning and deep learning models.
• Develop APIs and services to expose AI models for real time and batch use cases.

Skills

Machine Learning & Model Development

Data Engineering & Feature Engineering

Generative AI / LLM Based Application Development

AI System Design, Deployment & MLOps

Strong proficiency in Python

Experience with ML/DL frameworks (PyTorch, TensorFlow)

Tools

SQL

Pandas

NumPy

MLflow

Job description

Must Have - Machine Learning and Statistical modeling, MS SQL, Python, PyTorch, TensorFlow

We are seeking an experienced AI Application Developer / AI Engineer to design, build, and deploy end to end AI solutions using modern machine learning and generative AI techniques. The role involves working hands on with data, models, and production systems to deliver scalable, reliable AI applications—without reliance on code assist tools such as GitHub Copilot.

Key Responsibilities

• Design, develop, and deploy end to end AI applications from data ingestion to production inference.
• Build data pipelines for data preparation, feature engineering, and model training.
• Select, train, evaluate, and optimize machine learning and deep learning models.
• Develop APIs and services to expose AI models for real time and batch use cases.
• Implement monitoring, logging, and model performance tracking in production.
• Collaborate with product, data, and domain teams to translate business requirements into AI solutions.
• Ensure AI solutions meet enterprise standards for security, scalability, and responsible AI usage.

Required AI Skill Areas (Core – 4 Skills)

• 1. Machine Learning & Model Development
  • Strong understanding of supervised and unsupervised learning techniques.
  • Familiarity with evaluation metrics and model validation techniques.
• 2. Data Engineering & Feature Engineering
  • Hands on experience with data preprocessing, cleaning, and exploratory data analysis.
  • Experience using Python libraries such as Pandas and NumPy, along with SQL.
• 3. Generative AI / LLM Based Application Development
  • Experience building applications using Large Language Models (LLMs).
  • Experience integrating LLM APIs into enterprise applications.
• 4. AI System Design, Deployment & MLOps
  • Ability to design scalable AI architectures for training and inference.
  • Experience deploying models as APIs or services (e.g., using FastAPI or Flask).

Technical Skills

• Strong proficiency in Python
• Experience with ML/DL frameworks such as PyTorch or TensorFlow
• Familiarity with REST APIs, microservices, and cloud platforms (GCP)
• Knowledge of model lifecycle management tools (e.g., MLflow – preferred)