Generative AI Engineer

Job Title: AI Engineer Location: Onsite – Chicago, IL Employment Type: W2 Only (No C2C, No Remote) About the Role We are seeking an AI Engineer with a strong foundation in Chemical Engineering (Nice to Have) and deep expertise in Large Language Models (LLMs), AI frameworks, and agent-based deployments. This role requires a unique combination of domain knowledge and technical expertise to design and implement AI-driven solutions that can support complex decision-making and innovation in a chemical engineering environment. The ideal candidate will be responsible for architecting, building, and deploying scalable AI models and frameworks, integrating them into existing business workflows, and ensuring reliable, high-performance outcomes. Key Responsibilities • Design, develop, and deploy scalable AI solutions with a focus on LLMs and agent-based frameworks for business and engineering applications. • Integrate AI solutions into services and systems, collaborating with cross-functional teams using cutting-edge frameworks and tools. • Conduct applied research to remain at the forefront of LLM, NLP, and AI advancements, with emphasis on applications in chemical engineering and related fields. • Deploy and manage AI agents that operate dynamically in diverse environments to optimize decision-making processes. • Evaluate and refine AI solutions, continuously enhancing accuracy, reliability, and scalability. • Document AI architectures, processes, and frameworks to support team knowledge sharing and best practices. Required Qualifications • Bachelor’s or Master’s degree in Chemical Engineering (Big Plus / Not Mandatory). • 4+ years of experience applying AI to real-world technology solutions. • Hands-on expertise with Machine Learning, Deep Learning, NLP, and TensorFlow. • Strong programming skills in Python, R, or Java. • Proven track record as an AI Engineer with specialization in LLMs and AI frameworks. • Experience with Langchain, Autogen, TensorFlow, PyTorch, OpenAI GPT and other modern AI libraries. • Solid understanding of agent-based modeling and deployment strategies. • Practical experience in prompt engineering for LLM optimization. • Familiarity with cloud platforms (AWS, GCP, Azure) for AI deployment. • Strong knowledge of algorithms, object-oriented/functional design principles, and best practices. • Excellent analytical, problem-solving, and communication skills. Employment Details • Type: W2 Only (No C2C, No sponsorship) • Location: 100% Onsite in Chicago, IL • Schedule: Full-time