Artificial Intelligence Engineer

Support AI and emerging technology initiatives across business and technology teams. Work hands-on with AI/ML, Generative AI, and agentic AI solutions. Help develop and prototype AI use cases that solve real business problems. Evaluate and apply foundation models, LLMs, and modern AI frameworks. Contribute to RAG, memory systems, tool use, and function-calling patterns. Support multi-agent workflows and autonomous AI capabilities. Assist with AI experimentation, proof-of-concepts, and solution testing. Partner with data, engineering, and business teams to move AI solutions toward production. Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices. Communicate technical AI concepts clearly to both technical and non-technical audiences. Promote responsible AI practices, including ethics, governance, and bias mitigation. Required Skills Bachelor’s degree in computer science, STEM, or equivalent experience. Experience in AI/ML, Generative AI, or advanced analytics. Strong understanding of machine learning fundamentals and model evaluation. Hands-on exposure to LLMs, prompt engineering, fine-tuning, and multimodal AI. Familiarity with agentic frameworks such as LangChain, Strands, or Crew AI. Experience with vector databases, RAG, and tool/function calling. Exposure to cloud AI platforms such as AWS Bedrock; Azure or GCP is a plus. Understanding of MLOps, AI Ops, and CI/CD for AI solutions. Strong analytical, problem-solving, and communication skills. Ability to work well in agile, cross-functional teams. Hands on with Python and ReactJS Mandatory Skillsets: Python, OpenAI with LLM, ReactJS, NodeJS, Jenkins, GitHub, Claude, Copilot #J-18808-Ljbffr