Dallas
2 months ago

Job Overview

Job Type
FullTime
Pay
Not disclosed

Job description

Location:
Dallas, United States
Work arrangement:
On-site

Role Summary

We're looking for a strong Senior/Staff-level Individual Contributor who thrives in an early-stage startup environment and enjoys building AI-native products from scratch.

Background

  • 10+ years of software engineering experience.
  • At least 5 years in a product company of similar size/stage (preferably Seed–Series A/B).
  • Experience building customer-facing products.
  • Hands-on experience with AI technologies is mandatory.
  • Experience shipping AI-powered products (agents, copilots, RAG, workflow automation, etc.) is a strong advantage.
  • DevOps / infrastructure experience is a plus.
  • BSc/MSc in Computer Science is a plus.

Relevant technologies (not mandatory)

TypeScript, React, Rust, Postgres, Redis, Kubernetes.

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.

Requirements

  • Strong product mindset and customer-oriented thinking.
  • High ownership and ability to work independently.
  • Excellent communication and collaboration skills.
  • Comfortable with ambiguity and rapid iteration in a Seed-stage startup.
  • Pragmatic engineer who balances speed, quality, and technical debt.
  • Passion for AI and a habit of staying current with the rapidly evolving ecosystem.
Role:
Senior AI Developer
Job Type:
FullTime

Company profile

Noetic makes Mort, described as a deep company brain. Mort observes work as it happens across every system and turns it into a living brain that AI agents can act on. The product is built on the idea that enterprise agents fail not because they lack intelligence but because they cannot see the work that happens between the systems where data lives.