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Senior AI Engineer

salary Salary :

$240,000 - 380,000 yearly

Job Description - Senior AI Engineer


Company: Confidential Client
Location: San Francisco, CA (Hybrid)
Salary: $240,000 – $380,000 base + equity + bonus
Recruitment Partner: J&T Recruitment – Exclusively Retained

J&T Recruitment has been exclusively retained by a rapidly scaling AI technology company in San Francisco that is building cutting -edge generative AI platforms used by global enterprise clients.

They are seeking a Senior AI Engineer to design and deploy production -grade machine learning systems and contribute to the architecture of next -generation AI products.

Key Responsibilities

  • Design, train, and deploy large -scale machine learning and generative AI models

  • Build scalable data pipelines for model training and inference

  • Develop production -ready ML services and APIs

  • Work closely with product managers and data scientists to translate research into production systems

  • Optimize models for performance, cost, and latency

  • Contribute to the design of distributed AI infrastructure

  • Stay up to date with advancements in LLMs, transformer architectures, and generative AI

Tech Stack

  • Python

  • PyTorch / TensorFlow

  • Hugging Face / Transformers

  • Kubernetes

  • AWS / GCP

  • Vector databases

  • ML pipelines (Airflow / Kubeflow)

Requirements

  • 5+ years of experience in Machine Learning or AI Engineering

  • Strong experience building and deploying ML models to production

  • Experience working with LLMs, NLP, or generative AI systems

  • Strong programming skills in Python

  • Experience with distributed systems and cloud platforms

Interview Process

  1. Recruiter Screening (30 minutes) – Introduction via J&T Recruitment

  2. Technical Coding Interview (60 minutes) – Python and ML fundamentals

  3. Machine Learning System Design (90 minutes) – Designing scalable ML architecture

  4. Technical Deep Dive (90 minutes) – Discussion around previous AI projects

  5. Final Leadership Interview (45 minutes) – Cultural and team alignment



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