Applied Scientist - Multi-Media & Video AI

Title - Applied Scientist Type - Fulltime Location - Remote Role Overview: We are hiring Applied Scientists (1 Lead + 2 ICs) to design, build, and optimise GenAI-driven multi-modal pipelines for detecting contextual moments in live video streams. This role focuses on prompt engineering, multimodal inference, and model optimisation using foundation models (Claude, Nova, Bedrock) to maximise detection accuracy. Key Responsibilities Design and optimise prompt engineering strategies for foundation models Build pipelines for multi-modal inference (video + transcript + audio) Detect and classify custom moments and contextual events Develop reusable frameworks for: Moment detection templates Structured metadata generation, Fine-tune prompts and configurations to improve: Accuracy, Precision across moment types Integrate GenAI outputs into: Structured JSON metadata, Downstream systems and pipelines Work with AWS services such as: Amazon Bedrock (GenAI models) Lambda, S3, Kinesis (data pipeline) Collaborate with QA team for output validation and optimisation, Support production rollout and continuous improvement Required Skills & Experience: Prompt engineering for foundation models (Claude, Nova, etc.).Multi-modal AI systems (vision + NLP).Hands-on experience with: LLM inference and optimisation Structured outputs (JSON generation and validation) Strong Python programming and data pipeline skills Familiarity with AWS cloud stack: Bedrock, Lambda, S3, analytics pipeline Experience in working with: Video analytics / media AI workflows Real-time or near real-time systems “We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.”

The Applied Scientist will design and optimize prompt engineering strategies and build pipelines for multi-modal inference in live video streams. They will also develop reusable frameworks for moment detection and integrate GenAI outputs into structured metadata.

Candidates should have experience in prompt engineering for foundation models and multi-modal AI systems, along with strong Python programming skills. Familiarity with AWS services and video analytics workflows is also required.

Identified from the job description. Confirm important requirements above.

• Prompt Engineering
• Multi-Modal AI Systems
• LLM Inference
• Model Optimisation
• Structured Outputs
• Python Programming
• Data Pipeline Skills
• AWS Cloud Stack
• Video Analytics
• Media AI Workflows
• Real-Time Systems

Minimum experience

5+ years