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
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💰 - 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
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🔒 - 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)