Role overview
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
Recruiter Screening (30 minutes) – Introduction via J&T Recruitment
Technical Coding Interview (60 minutes) – Python and ML fundamentals
Machine Learning System Design (90 minutes) – Designing scalable ML architecture
Technical Deep Dive (90 minutes) – Discussion around previous AI projects
Final Leadership Interview (45 minutes) – Cultural and team alignment
What you'll work on
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
What we're looking for
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
Recruiter Screening (30 minutes) – Introduction via J&T Recruitment
Technical Coding Interview (60 minutes) – Python and ML fundamentals
Machine Learning System Design (90 minutes) – Designing scalable ML architecture
Technical Deep Dive (90 minutes) – Discussion around previous AI projects
Final Leadership Interview (45 minutes) – Cultural and team alignment