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# AI / ML Engineer

- **Company:** ENSET RESTAURANT LLC
- **Location:** Huntington Beach, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Python (Programming Language), Tensorflow, Pytorch, Model Validation, Machine Learning Operations, Natural Language Understanding
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_d3d630a20a2a81cd1b9d0df46371bc86

## About the Role

* 3+ years shipping production ML systems - not notebooks, not prototypes
 * Real-time audio, speech, or conversational AI experience (non-negotiable)
 * Python, PyTorch or TensorFlow, AWS or equivalent cloud infrastructure
 * Strong understanding of intent classification, NER, and dialogue systems
 * Experience optimizing model inference for latency-sensitive production environments
 * Ability to work directly with founders and ship without hand-holding

## Description

You build the core of the product. Real-time voice analysis, in-call coaching triggers, post-call scoring. You will work directly with the founding team on the models that power every eNZeTi session. This is not a research position. Every model you ship runs in production during live law firm intake calls, coaching coordinators in real time. Sub-200ms latency is not a stretch goal. It is a requirement., * Train and fine-tune transformer models on legal intake conversation data

 * Engineer sub-200ms inference pipelines for in-ear real-time coaching delivery
 * Build post-call scoring models that grade coordinator performance across 10+ dimensions
 * Own model evaluation, quality metrics, and continuous improvement loops
 * Collaborate with backend engineering on streaming audio architecture
 * Define the long-term ML architecture as data volume and customer base scale
 * Mentor future ML team hires as the engineering org grows, * Real call data from active law firm customers - labeled, structured, growing daily
 * A founding team that understands AI deeply and will not slow you down
 * Greenfield ML infrastructure - no legacy debt, your architectural decisions stick
 * A clear roadmap from coaching prompts to predictive case outcome scoring

Why This Role Matters

94% of law firm intake calls go completely unreviewed. Coordinators get no feedback, no coaching, no real-time support on calls worth $5,000 to $50,000 in case value. What you build changes that. Every model improvement is a law firm that closes more cases, a coordinator who gets better at their job, and a client who actually gets the legal help they called about.