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AI Engineer - Video Analytics
Skills
AWS LambdaArtificial IntelligenceLarge Language ModelsMachine LearningNatural Language ProcessingPrompt EngineeringPyth
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong experience in prompt engineering for foundation models such as Claude and Nova
- Hands-on experience with multimodal AI systems across vision and NLP
- Experience with LLM inference optimisation and structured JSON output generation
- Strong Python programming skills and data pipeline experience
- Familiarity with AWS services including Bedrock Lambda S3 and Kinesis
- Experience with video analytics or media AI workflows
- Experience with real-time or near real-time systems
Day to day
- Design and optimise prompt engineering strategies for foundation models to improve contextual moment detection.
- Build and tune multimodal inference pipelines using video transcript and audio inputs.
- Detect and classify custom moments and contextual events, then convert outputs into structured JSON metadata for downstream systems.
- Collaborate with QA and production teams to validate outputs, optimise accuracy and support rollout in near real-time environments.