Job Description
AI Engineer 6+ years of total experience with strong hands-on expertise in building: LLM-based applications Retrieval Augmented Generation (RAG) systems AI agents and agentic workflows Proven experience with vector databases, including end-to-end design and implementation of RAG pipelines. Hands-on experience in implementing: AI guardrails Secure prompt engineering Controls for hallucination, prompt injection, and data protection Programming & Frameworks: Strong proficiency in Python Hands-on experience with Lang Chain and Lang Graph Good exposure to ML frameworks such as TensorFlow and Keras Cloud & GenAI Platforms: Experience with AWS Bedrock Exposure to AWS Agent Core Working knowledge of related AWS services such as Kinesis Exposure to Engineering Productivity and AI-assisted developer tools.