AI Engineer (Agentic AI Experience)
Saint Louis, Michigan, United States of America
Contract
3 hours ago
Key skills
PythonRAIArtificial IntelligenceMachine LearningNLPNatural Language ProcessingComputer VisionAgenticPyTorchTensorFlowscikit-learnAnalyticsSparkHadoopAWSAzureGoogle CloudAzure DevOpsAgileScrumCommunicationCollaboration
About this role
We are looking for AI Engineer (Agentic AI Experience) for our client in Saint Louis, MO
Job Title: AI Engineer (Agentic AI Experience)
Job Type: Contract
Job Overview:
Responsibilities:
- Design, develop, and deploy AI and machine learning models for real-world applications.
- Build and implement agentic AI workflows and multi-agent systems for production use cases.
- Contribute to architecture and design of scalable AI solutions and intelligent systems.
- Develop and optimize models using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Work on AI techniques including natural language processing (NLP), computer vision, and advanced analytics.
- Integrate AI solutions with big data platforms and cloud environments (AWS, Azure, Google Cloud).
- Analyze large and complex datasets to extract insights and improve model performance.
- Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
- Participate in Agile development processes, including sprint planning and stand-ups.
- Maintain documentation and ensure best practices in AI development and deployment.
Required Qualifications:
- Master s or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or related field, or Bachelor s degree with 5+ years of experience.
- Proven experience as an AI Engineer, Machine Learning Engineer, or similar role.
- Strong programming skills in Python or R.
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience working with NLP, computer vision, or other AI techniques.
- Familiarity with big data technologies such as Hadoop and Spark.
- Experience with cloud platforms including AWS, Azure, or Google Cloud.
- Strong analytical, problem-solving, and communication skills.
- Experience working in Agile environments using tools like Azure DevOps or Scrum.
Must Have:
- Hands-on experience building and deploying Agentic AI workflows in real-world projects.
- Experience with modern multi-agent architectures.
- Strong understanding of agentic frameworks and tools.
- Ability to contribute to system architecture and design decisions.
Preferred Qualifications:
- Relevant certifications in AI, machine learning, or cloud platforms (e.g., AWS Certified, Azure Fundamentals).
- Experience managing multiple AI projects simultaneously.
- Strong organizational and collaboration skills.