Applied Agentic AI engineering experience: evidence of building Agentic workflows - ideally delivered into a real project.
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)
Role: Agentic AI Engineer Location: St Louis MO- Hybrid/onsite Contract Must Have- Applied Agentic AI engineering experience: evidence of building Agentic workflows - ideally delivered into a real project. Modern multi-agent architecture experience Strong understanding of agentic frameworks/to...
Role: Agentic AI Engineer
Location: St Louis MO- Hybrid/onsite
Contract
Must Have-
Applied Agentic AI engineering experience: evidence of building Agentic workflows - ideally delivered into a real project.
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)