Hands-On VP of AI Platform Engineering

Terranova Talent Solutions

San Francisco (CA)

On-site

USD 230,000 - 320,000

Full time

2 days ago
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Benefits offered by this job

Meals provided daily
Equity
Health insurance
Unlimited PTO

Job summary

Terranova Talent Solutions is sourcing a VP of Engineering for a fast-growing software company building an AI platform serving manufacturers in defense, energy, and robotics sectors. You will lead the technical direction, shape the team, and write production code alongside them.

You’ll recruit top talent, design scalable architectures, and ensure delivery of high-quality software. This hands-on leadership role reports to the CEO and requires deep experience with enterprise systems and LLM-based

Qualifications

  • Proven ability to build complex, scalable software from zero to production.
  • Experience leading engineering teams, from hiring to scaling to meet growth.
  • Hands-on work shipping enterprise software built on large language models (LLMs).
  • Bonus: experience with industrial, manufacturing or defense customers.

Responsibilities

  • Define the technical strategy and AI roadmap for the platform.
  • Recruit, hire and develop a high-performing engineering team and scale it.
  • Lead architecture of core platform and customer-site deployments.
  • Ship production code and uphold engineering quality standards.

Skills

Track record
Engineering leadership
LLMs experience
Architectural design
Backend development

Tools

Rust
Python
TypeScript
React
Next.js
C#
AWS
Terraform
PostgreSQL
DynamoDB

Job description

Terranova Talent Solutions is sourcing a VP of Engineering for a fast-growing software company building an AI platform serving manufacturers in defense, energy, and robotics sectors. You will lead the technical direction, shape the team, and write production code alongside them.

You’ll recruit top talent, design scalable architectures, and ensure delivery of high-quality software. This hands-on leadership role reports to the CEO and requires deep experience with enterprise systems and LLM-based

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