Senior AI Product Engineer: Build AI-Powered Apps

Noetic Global Corp.; Dallas (TX); On-site; USD 180,000 - 280,000; Full time

Job summary

Noetic Global Corp. is seeking a Senior/Staff-level Individual Contributor to build AI-native products in a fast-paced startup environment. You will own AI features from concept to production, collaborating with Product and Engineering to translate requirements into scalable solutions.

We value hands-on engineers who can prototype quickly, iterate with quality, and stay current with the AI ecosystem. This role emphasizes technical leadership through code, not people management.

Qualifications

• 10+ years of software engineering experience.
• At least 5 years in a product company of similar size/stage (Seed-Series A/B).
• Hands-on experience with AI technologies is mandatory.
• Experience shipping AI-powered products (agents, copilots, RAG, workflow automation) is a strong advantage.

Responsibilities

• Design, build, and own AI-powered product features end-to-end.
• Work closely with Product and Engineering to translate product requirements into scalable technical solutions.
• Prototype and iterate quickly while maintaining production-quality standards.
• Evaluate and integrate new AI models, frameworks, and tooling.
• Contribute across the stack when needed (frontend, backend, infrastructure).
• Help shape technical direction through hands-on contribution rather than people management.

Skills

Strong product mindset

Customer-oriented thinking

Ownership

Independent worker

Excellent communication

Collaboration skills

Comfortable with ambiguity

Rapid iteration

Pragmatic engineer

Passion for AI

Education

BSc/MSc in Computer Science

Tools

TypeScript

React

Rust

Postgres

Redis

Kubernetes

Job description

Noetic Global Corp. is seeking a Senior/Staff-level Individual Contributor to build AI-native products in a fast-paced startup environment. You will own AI features from concept to production, collaborating with Product and Engineering to translate requirements into scalable solutions.

We value hands-on engineers who can prototype quickly, iterate with quality, and stay current with the AI ecosystem. This role emphasizes technical leadership through code, not people management.