Enter a job title or keyword

AI Engineer

Apptad Inc


Job Location:

Lake Saint Louis, MO - USA

Monthly Salary: Not provided by the employer
Posted: 25 June 2026 (30+ days ago)
Application Deadline: 22 September 2026
Vacancies: 1 Vacancy

Job Summary

Role: AI Engineer (Agentic AI Experience)
Location: St Louis MO-Remote -OK ( local candidates preferred)


Must Have-

  • Applied Agentic AI engineering experience: evidence of building Agentic workflows - ideally delivered into a real project- Please share for all submissions.
  • Modern multi-agent architecture experience:
  • Strong understanding of agentic frameworks/tools:
  • Architecture & design contribution capability


JD:

  • Masters or Ph.D. degree in Computer Science Information Technology Data Science Artificial Intelligence or a related field or Bachelors with minimum 5 years experience.
  • Proven experience as an AI Engineer Machine Learning Engineer or similar role.
  • Experience in developing and deploying machine learning models and AI systems.
  • Proficiency in programming languages such as Python or R
  • Strong knowledge of machine learning frameworks (TensorFlow PyTorch Scikit-learn).
  • Experience with natural language processing (NLP) computer vision or other AI techniques.
  • Familiarity with big data technologies (Hadoop Spark) and cloud platforms (AWS Azure Google Cloud)
  • Strong analytical skills and the ability to work with complex datasets.
  • Excellent problem-solving skills with a focus on developing innovative AI solutions.
  • Excellent verbal and written communication skills.
  • Ability to work collaboratively in a cross-functional team environment.
  • Strong organizational skills and the ability to manage multiple AI projects simultaneously.
  • Experience with Agile methodologies and tools (Azure DevOps Scrum).

Preferred:

  • Relevant certifications in AI machine learning or data science (e.g. AWS Certified Cloud / AI practitioner Azure Fundamentals)

Act as a quality transformation partner reducing cost of quality while improving speed reliability