SIMARN Solutions

Artificial Intelligence Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer (W2 only) with a contract length of unknown duration, offering a competitive pay rate. Key skills required include Agentic AI expertise, Python programming, and experience with cloud platforms. Preferred qualifications include advanced degrees and AI/cloud certifications. Remote work is available, with a preference for candidates near St. Louis, MO.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
912
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🗓️ - Date
June 26, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
St Louis, MO
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🧠 - Skills detailed
#Spark (Apache Spark) #PyTorch #Scrum #Cloud #TensorFlow #Agile #GCP (Google Cloud Platform) #Azure #Azure DevOps #Big Data #NLP (Natural Language Processing) #Python #Langchain #AWS (Amazon Web Services) #Automation #Scala #ML (Machine Learning) #Programming #R #Hadoop #AI (Artificial Intelligence) #DevOps #Computer Science #Data Science
Role description
AI Engineer – Agentic AI (W2 Only) 📍 Location: Remote (Preference for candidates local to St. Louis, MO) 💼 Employment Type: W2 Only (No C2C, No Third-Party Vendors, No Sponsorship) We are seeking an experienced AI Engineer with hands-on expertise in Agentic AI and multi-agent systems to join an innovative team building next-generation AI solutions. This is an excellent opportunity to work on cutting-edge AI technologies, designing and deploying intelligent agent-based workflows for real-world business applications. Required Skills • Proven Applied Agentic AI engineering experience with evidence of building and deploying Agentic AI workflows in production or client projects. • Strong experience designing and implementing modern multi-agent architectures. • Hands-on expertise with agentic AI frameworks and orchestration tools (LangGraph, CrewAI, AutoGen, Microsoft Semantic Kernel, LangChain, or similar). • Experience contributing to AI solution architecture and system design. • Strong programming skills in Python (R is a plus). • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Experience developing and deploying AI/ML models into production. • Knowledge of LLMs, NLP, Retrieval-Augmented Generation (RAG), prompt engineering, and AI workflow automation. • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. • Familiarity with Spark, Hadoop, or other big data technologies. • Experience working in Agile/Scrum environments using Azure DevOps or similar tools. • Excellent analytical, communication, and problem-solving skills. Preferred Qualifications • Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field (Bachelor's degree with 5+ years of relevant experience will also be considered). • AI/Cloud certifications such as: • AWS Certified AI Practitioner / Machine Learning • Azure AI Engineer Associate • Azure Fundamentals • Google Professional Machine Learning Engineer What We're Looking For The ideal candidate has successfully designed and delivered Agentic AI solutions involving autonomous agents collaborating to solve complex business problems. You should be comfortable architecting scalable AI systems, integrating LLMs, and deploying intelligent workflows into production environments. Important ✅ This position is available on W2 only. ❌ No C2C, third-party vendors, or employer sponsorship available. If you have real-world experience building Agentic AI applications and are excited to work on next-generation AI platforms, we'd love to hear from you! To Apply: Please share your updated resume along with a brief summary of your Agentic AI project(s), including the frameworks/tools used and your specific contributions.