Senior AI Product Engineer (Hands-On Development & Customer-Centric Delivery)

JeffreyM Consulting • United State

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AI Summary

Design, build, and optimize AI-driven SaaS products with direct customer collaboration. Own end-to-end development, from workflow problem-solving to scalable, high-performance software delivery. Requires 2-4 years of engineering experience with AI/ML, cloud platforms, and hands-on problem-solving in fast-paced environments.

Key Highlights

Hands-on AI product engineering with direct customer collaboration to solve legal/tech workflow challenges

Full ownership of product development lifecycle: design, testing, optimization, and onboarding

Startup pace with autonomy—no detailed playbook; must ship practical solutions independently

Key Responsibilities

Design, build, and enhance AI-driven software solutions addressing customer workflow challenges

Collaborate with customers, sales, and engineering teams to translate user needs into shipped features

Test, debug, and optimize AI products for scalability, performance, and seamless user experience

Document technical designs, processes, and systems as the product evolves

Support customer onboarding and integrations, troubleshooting implementation issues

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Technical Skills Required

Python Machine Learning Amazon Web Services

Benefits & Perks

$200,000 - $300,000 DOE + Competitive Equity

Comprehensive medical, dental, and vision coverage

H-1B and OPT sponsorship

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Nice to Have

Legal tech, healthtech, or document-intensive SaaS experience

AI pipelines for document processing or information extraction

Familiarity with JavaScript or other relevant programming languages

Job Description

Our client is looking for an AI Product Engineer to join their team! In this role, you will design, build, and improve core AI products. This is a hands-on engineering and product role: work directly with customers to understand legal workflow problems, turn those needs into software, ship quickly, and take responsibility for how the product performs in use. The team wants an engineer who can make sound decisions and deliver without a detailed playbook.

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