Artificial Intelligence Engineer

Job Description • 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