Gen AI Engineer (Media Industry) Remote

Title: Gen AI Engineer (Media Industry) Work Location: 100% Remote Start Date: ASAP, subject to candidate availability Technology Environment: AWS technology stack, working closely with the AWS team Interview Process: 2 rounds Engagement: Enterprise, revenue-critical real-time streaming/AI program Role Overview: Design, build and optimise GenAI-driven multimodal pipelines for detecting contextual moments in live video streams. The role focuses on prompt engineering, multimodal inference and model optimisation using foundation models such as Claude, Nova and Amazon Bedrock to maximise detection accuracy. Key Responsibilities Design and optimise prompt engineering strategies for foundation modelsBuild pipelines for multimodal inference across:VideoTranscriptAudioDetect and classify custom moments and contextual eventsDevelop reusable frameworks for:Moment detection templatesStructured metadata generationPrompt optimisationFine-tune prompts and configurations to improve:AccuracyPrecision across different moment typesIntegrate GenAI outputs into:Structured JSON metadataDownstream systemsData processing pipelinesWork with AWS services including:Amazon BedrockAWS LambdaAmazon S3Amazon KinesisCollaborate with the QA team for output validation and optimisationSupport production rollout and continuous improvement Required Skills & Experience Strong experience in: Prompt engineering for foundation models such as Claude, Nova, etc.Multimodal AI systems covering vision and NLPLLM inference and optimisationStructured outputs, including JSON generation and validationStrong Python programming and data pipeline developmentAWS cloud stack, particularly:BedrockLambdaS3Analytics/data pipelinesVideo analytics or media AI workflowsReal-time or near-real-time AI systems