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