

Raas Infotek
AI Engineer (Agentic AI)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer (Agentic AI) in St Louis, MO, hybrid/onsite, with a contract length of "unknown." Pay rate is "unknown." Key skills include applied Agentic AI experience, multi-agent architecture, and proficiency in Python or R. A Master’s or Ph.D. in a relevant field or a Bachelor’s with 5 years of experience is required, along with experience in machine learning and AI systems.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
June 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
St Louis, MO
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🧠 - Skills detailed
#Programming #AWS (Amazon Web Services) #Big Data #Python #TensorFlow #Azure DevOps #Agile #ML (Machine Learning) #DevOps #Spark (Apache Spark) #Azure #Hadoop #PyTorch #Datasets #Scrum #Computer Science #Cloud #NLP (Natural Language Processing) #Data Science #R #AI (Artificial Intelligence)
Role description
Role: AI Engineer (Agentic AI Experience)
Location: St Louis, MO- Hybrid/onsite
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:
• Master’s or Ph.D. degree in Computer Science, Information Technology, Data Science, Artificial Intelligence or a related field or Bachelor’s 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: AI Engineer (Agentic AI Experience)
Location: St Louis, MO- Hybrid/onsite
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:
• Master’s or Ph.D. degree in Computer Science, Information Technology, Data Science, Artificial Intelligence or a related field or Bachelor’s 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)






