Embedded AI Engineer — Remote, Client-Facing, Production

Balboa

United States

On-site

USD 130,000 - 170,000

Full time

14 days+
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Job summary

Balboa is seeking a Forward Deployed Engineer who will embed with client teams to understand their operations and build tailored AI-enabled solutions using Pendo and related tooling. You will own end-to-end delivery from data mapping to production deployment, interfacing with senior stakeholders and delivering measurable impact from week one.

You will work in a small team of engineers and domain experts, moving projects from prototype to production, with a startup-like velocity and a focus on

Qualifications

  • Strong engineering background with CS/Software Eng or equivalent hands-on experience.
  • Proficiency in Python, TypeScript, or similar, with data wrangling and integrations.
  • Experience taking software or data solutions to production, not just PoCs.

Responsibilities

  • Translate client objectives into a delivery plan and map data/workflows for scalable deployment.
  • Prototype and iterate quickly, validating with real users and adapting based on results.
  • Deploy and operate production systems with coding discipline, reviews, and monitoring.
  • Own the client technical relationship, partnering with delivery leads and stakeholders to build client-facing apps and analytics.
  • Identify patterns from engagements to improve Balboa's internal tooling and reusable assets.

Skills

Software engineering
Python
TypeScript
Data wrangling
Production deployment
Stakeholder communication

Education

Bachelor's degree in CS or related field

Tools

Pendo
LLM workflows

Job description

Balboa is seeking a Forward Deployed Engineer who will embed with client teams to understand their operations and build tailored AI-enabled solutions using Pendo and related tooling. You will own end-to-end delivery from data mapping to production deployment, interfacing with senior stakeholders and delivering measurable impact from week one.

You will work in a small team of engineers and domain experts, moving projects from prototype to production, with a startup-like velocity and a focus on

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