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Focuz is a well-funded, early-stage startup on a mission to redefine video intelligence. We are building a next-generation platform that transforms raw video streams from any camera into structured, actionable insights. Moving beyond simple object detection, we are creating a system that understands context, behavior, and patterns, enabling businesses and consumers to make smarter decisions. We are a small, agile team of builders and innovators, and we're looking for foundational members to help us shape the future of video technology.
We're looking for an **Applied LLM Python Engineer** to join our team at Focuz. We need specialist who can ship production code that leverages LLMs to analyze video footage in real-time, so it's not a research position. You'll be building systems that allow users to query security cameras using natural language and get intelligent insights about what's happening in their spaces.
**What You'll Be Doing**:
- Writing Python code that orchestrates multiple LLMs to analyze video clips (15 seconds to 15 minutes)
- Building context injection systems that add business rules, schedules, and location-specific information to prompts
- Creating evaluation frameworks to measure if our LLMs are correctly identifying safety violations, suspicious behavior, or operational issues
- Optimizing costs by choosing the right model for each task (when to use GPT-4 vs Claude Haiku vs Llama)
- Building robust production systems that handle API failures, rate limits, and inconsistent model outputs
**Requirements**:
- Production LLM experience**: track record of shipping features with LLM APIs from major providers like OpenAI, Anthropic, and Google.
- Multi-modal expertise: understanding of how to work with models such as GPT-4V, including feeding them images and video frames.
- Context engineering skills: capability to structure large, complex prompts (50KB+) with effective examples, rules, and context.
- Evaluation mindset: A focus on metrics and the ability to build systems to measure and optimize LLM performance.
**Bonus points**:
- Experience with video processing (OpenCV, FFmpeg);
- Knowledge of open-source LLMs and local deployment;
- Understanding of structured output generation (JSON mode, function calling);
- Experience with async Python and streaming responses.
focuz
