Senior Forward Deployed Engineer

present of AI; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Axion is seeking a hands-on software engineer who directly interfaces with customers. You will take vague problems, decide what to build, ship and maintain software, including data integrations, apps and AI-based workflows.

A strong candidate has real production experience in Python and SQL, sharp judgment on scope, and the confidence to push back when needed. Manufacturing or quality domain knowledge matters for engineers who have not worked customer-facing before.

Qualifications

• Strong production experience in Python and SQL.
• Experience working with customer-facing software.
• Manufacturing or quality workflow knowledge is a plus.

Responsibilities

• Ship and maintain software including data integrations, apps and AI-based workflows.
• Interface with customers to understand needs and translate into iterative development.
• Test, monitor, and improve live deployments in customer environments.

Skills

Python

SQL

Production experience

Customer-facing

Job description

This is a hands-on engineering job with a lot of customer contact. The person takes a vague customer problem, decides what is worth building, then ships and maintains the software, including data integrations, apps and AI-based workflows. A strong candidate has real production experience in Python and SQL, good judgment about scope, and the confidence to say no to the wrong request. Manufacturing or quality experience matters most for engineers who have not worked customer-facing before.

How it fits the AI era

AI is one tool among several here. The work involves choosing when a model helps and when plain, predictable code is the safer choice, then testing model behavior against real source data. What stays human is listening to how people actually work, judging what is worth building, and taking responsibility when the software is live in a customer's daily operations.

How it builds AI experience

The role offers practical exposure to applying AI to quality problems, using field, service and warranty data that is often messy. Someone could build experience by evaluating model outputs against trusted records and designing workflows where AI suggests and people confirm. Small projects that spot patterns in product defect or service data would be a good way to prepare.

Worth showing

• Production Python and SQL shipped
• Evaluating AI output rigorously
• Enterprise data and API integrations
• Manufacturing or quality workflow knowledge

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Axion

Axion is an AI quality-intelligence platform that spots emerging product defects from field, service and warranty data before they become expensive recalls.