Codex Jobs
Find Codex jobs at companies hiring builders who can work with AI coding agents across real product, engineering, and automation work.
These roles are for people who can use Codex to move faster without losing the habits that make software reliable: clear plans, small diffs, tests, reviews, and ownership.
Live Codex Jobs
12 matching roles
AI Automation Specialist / Agentic Workflow Engineer
Design, build, and deploy autonomous agentic workflows and full-stack SaaS applications. Manage the entire lifecycle from rapid prototyping and infrastructure setup to production deployment on cloud, VPS, or local GPU environments.
Tech Lead - Data, Integrations & AI Engineering (w/m/d)
You will architect and operate a pragmatic, AI-native data and tool landscape, including data pipelines, system integrations, and internal AI agents. You own the full lifecycle of these solutions, from initial prototyping to stable production deployment.
Builder, Agentic Business Solutions
Design and implement agentic workflows that integrate with enterprise business systems like CRM and data platforms. You will own the full lifecycle from prototyping and API integration to production deployment, observability, and iterative performance optimization.
Software Product Builder - UniFi Fabric Platform
End-to-end UniFi Fabric platform capabilities, including identity management, Zero Trust workflows, provisioning, orchestration, and cloud-native admin experiences. You will own the full lifecycle from defining product specs and UX wireframes to building and shipping production-ready backend services and frontend workflows.
AI Product Builder
Agent-first features and products integrated directly into the existing codebases of various European B2B SaaS companies. You will prototype, ship, and iterate on these solutions alongside BU engineering teams to solve real customer problems.
Staff / Sr. Staff Software Engineer, GTM AI Brain
The GTM AI Brain, a custom suite of agents, copilots, and internal applications designed to automate and optimize revenue workflows like forecasting, account research, and sales operations. You will own the entire stack, from data plumbing and LLM orchestration to the deployment of tools used directly by the company's sales and revenue teams.
AI Business Automation Engineer
Design and deploy agentic AI systems that automate complex internal business workflows across departments like Finance, Legal, and GTM. You will own the end-to-end technical stack, from building secure data pipelines and custom AI agents to maintaining production-grade integrations between core SaaS platforms.
AI Product Builder
Develop agentic financial and accounting software by leveraging AI to automate workflows and re-architect core ledger systems. Own customer-facing features end-to-end, translating domain insights from accounting experts into shipped, production-ready code.
Principle AI & Automation Lead (Fixed-Term Role)
Design and implement AI-enabled workflows and automation solutions across Product, Finance, People, and Customer Service. You will build, ship, and scale these solutions into production while creating internal playbooks to embed AI into daily operations.
AI Builder
Internal AI-enabled tools and automated systems that solve operational pain points across sales, compliance, legal, and trading departments. You will own the full lifecycle of these products, from initial problem discovery and rapid prototyping to production-quality deployment.
AI-Native Mobile & Product Engineer
A new native iOS app from the ground up, integrating AI-powered consumer features alongside the existing web experience. You will own the development of high-fidelity mobile interfaces and editorial experiences from prototype to production.
AI Engineer
Manage and evolve a production system of over ten interconnected services, including AI pipelines for deal sourcing, automated meeting note processing, and data ingestion workflows. Own the entire technical stack, from frontend dashboards and RESTful APIs to AWS infrastructure and AI agent frameworks.
What Are Codex Jobs?
Codex jobs are roles where OpenAI Codex or similar coding agents are part of how teams build software. The work can include implementing features, understanding legacy code, writing tests, reviewing pull requests, improving documentation, and automating engineering tasks.
The point is not to outsource taste or responsibility. The strongest Codex builders know how to guide the agent, inspect the work, and turn a fast draft into production-ready software.
How AI-Native Teams Use Codex
AI-native teams use Codex for long-running engineering work, codebase analysis, UI implementation, refactors, bug fixes, pull request review, documentation updates, and workflow automation.
Teams get the most leverage when Codex has clear project instructions, access to the right checks, and a human operator who knows when to narrow scope, ask for evidence, or stop a bad direction early.
What Companies Expect From Codex Builders
- A track record of shipping real software with AI-assisted development workflows.
- Strong fundamentals in the stack used by the company, plus comfort with agentic coding loops.
- Ability to write clear prompts, inspect changes, run checks, and explain tradeoffs.
- Good judgment around scope, safety, credentials, dependencies, and production impact.
Who These Roles Are For
- Developers who already use Codex or agentic coding tools in real repositories.
- Builders who can move between product requirements, implementation, and verification.
- Automation-minded engineers who want agents to handle repeatable code and workflow tasks.
- Candidates who can show careful review habits, not just fast generation.
How To Prepare For Codex Jobs
- Use Codex on a real repo and keep a short case study of the problem, plan, diff, tests, and final result.
- Practice breaking work into small tasks that an agent can complete and you can review confidently.
- Build comfort with type checks, linting, test suites, logs, and code review as part of the agent loop.
- Prepare examples where you corrected or constrained agent output instead of accepting it blindly.
How To Learn Codex
FAQ
Are Codex jobs the same as normal software engineering jobs?
They overlap, but Codex jobs explicitly value AI-native development workflows and the ability to use coding agents safely in real projects.
Do I need to use OpenAI Codex specifically?
Some roles mention Codex directly, while others accept similar AI coding agents. The important signal is a real agentic coding workflow with shipped results.
What should I show hiring teams?
Show finished work, the problem you solved, how Codex helped, what you reviewed manually, and the checks you ran before shipping.
Can non-senior builders apply for Codex jobs?
Yes, if they can demonstrate strong judgment, working software, and enough fundamentals to understand and verify what the agent produces.