AI Solutions Engineer: Production ML & Customer Impact

Visa Hunt; United States; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Unlimited PTO

Monthly half day

Citi Bike membership

Monthly wellness stipend

Office equipment stipend, including_re

Investment in employee learning and成长

Job summary

Cake is seeking a seasoned AI Solutions Engineer to deliver production-ready AI and software solutions for customers. You will work hands-on with clients to understand their needs, implement end-to-end ML pipelines, and ensure robust performance in production environments.

You will drive customer success by guiding implementations, improving POC conversion and renewal rates, and communicating complex findings clearly to stakeholders.

Qualifications

• 6+ years of experience in AI, data science, ML, or software engineering.
• 2+ years developing AI solutions with modern GenAI tech (LLMs, vector DBs, agent frameworks, MCP).
• Strong grasp of the full MLOps lifecycle: data engineering, training/evaluation, serving, monitoring.
• Experience with cloud platforms (AWS, GCP, Azure) and Kubernetes; strong Python skills.
• Proven ability to manage multiple projects and customers; excellent communication.

Responsibilities

• Work hands on with customers to deliver high quality production-ready AI and Software solutions
• Drive exceptional customer success as reflected in successful implementations and high POC conversion rates, renewal rates, and customer satisfaction scores
• Leverage deep technical expertise to support customers and troubleshoot complex issues
• Work with the product team to prioritize the roadmap based on real customer feedback
• Communicate findings to stakeholders in a clear and concise way

Skills

AI

Data Science

Machine Learning

Software Engineering

Tools

Python

AWS

GCP

Azure

Kubernetes

Job description

Cake is seeking a seasoned AI Solutions Engineer to deliver production-ready AI and software solutions for customers. You will work hands-on with clients to understand their needs, implement end-to-end ML pipelines, and ensure robust performance in production environments.

You will drive customer success by guiding implementations, improving POC conversion and renewal rates, and communicating complex findings clearly to stakeholders.