AI Product Engineer OnHires

Skills / Requirements

• Agent Orchestration
• Agentic Systems
• AI Coding Agents
• AI-native Development
• API Integration
• Claude Code
• Codex
• Context Management
• E-commerce
• Edtech
• Failure Handling
• Fintech
• Full-stack Development
• Output Review
• Product Prototyping
• Prompt Design
• Structured Outputs
• Task Decomposition
• Tool Integration
• Vibe Coding
• Workflow Orchestration

Why Apply

This role is ideal for someone skilled in AI coding agents like Claude Code and Codex. You'll leverage these tools to build MVPs and production components quickly, integrating AI as a core product feature.

What You'll Be Doing

You'll transform vague ideas into concrete product concepts and prototypes, using AI tools to expedite development. Collaborating with cross-functional teams, you'll ensure solutions are both innovative and production-ready.

Pay and Career Growth

The role offers a chance to work across multiple domains, enhancing your versatility. You'll gain experience in AI-native product development, with opportunities to create scalable systems and reusable patterns.

Benefits and Perks

• AI-driven development
• cross-functional collaboration
• Fast-paced Environment
• Remote Work

Is This Role Right for You?

Original Job Description

Team: Product / Engineering
Location: Remote / Europe
About the Role 🚀
We’re looking for an AI Product Engineer who can turn raw ideas into real, working products—fast.
This is a hands-on builder role at the intersection of product thinking, engineering, and AI-native development. You’ll partner with product managers, designers, and engineers to explore new ideas, rapidly prototype solutions, validate user value, and help scale the strongest concepts into production.
You should be deeply comfortable working with AI coding agents like Claude Code and Codex as core tools—not just for speed, but for building reliable, production-ready systems. This role isn’t about “vibe coding”—it’s about combining AI-driven velocity with strong engineering and product judgment.
You’ll build across multiple domains, including e-commerce, e-learning, and fintech/trading, with the freedom to experiment and the responsibility to ship.

What You’ll Do 🛠️

Turn ambiguity into execution
Translate rough ideas into clear product concepts, flows, and working prototypes.

Build fast with AI agents
Use tools like Claude Code, Codex, and similar workflows to ship MVPs, experiments, and production components quickly.

Design AI-native products
Create experiences where AI is core to the product—not just an add-on.

Develop agent workflows
Design systems that combine prompts, tools, retrieval, memory, and orchestration patterns effectively.

Bridge prototype → production
Know when something is “good enough” to validate—and when it needs to be hardened for scale.

Collaborate cross-functionally
Work closely with product, design, and engineering to prioritize high-impact problems and ship quickly.

Build across the stack
Contribute to frontend, backend, integrations, internal tools, and automation as needed.

Ensure reliability
Implement lightweight evals, QA checks, and monitoring for AI-driven systems.

Document and scale learnings
Capture insights, reduce handoff friction, and turn experiments into repeatable patterns.

What We’re Looking For 🔍

Core Strengths

Strong product instincts — you simplify complexity, identify user pain, and focus on what matters.

Strong builder mindset — you prototype first, refine later.

AI-native development experience — hands-on with tools like Claude Code, Codex, or similar.
Technical & AI Expertise

Deep experience with AI coding agents:

Task decomposition, context management, output review, and iteration

Multi-file changes, tool usage, and workflow orchestration

Solid understanding of agentic systems, including:

Prompt design and decomposition

Tool integration and context strategy

Structured outputs and failure handling

Familiarity with agent orchestration patterns:

Single-agent vs multi-agent tradeoffs

Sequential, concurrent, and handoff workflows

Experience integrating APIs, tools, and data systems

Ability to move from prototype to production with sound engineering judgment
Ways of Working

Comfortable operating in fast-moving, ambiguous environments

Strong communicator across both technical and non-technical stakeholders

Ability to contribute across multiple product domains

Ideal Candidate 🌟
The ideal candidate combines the speed of AI-driven development with the discipline of strong engineering and product thinking.
You don’t just generate code—you:

Review, test, and refine it

Structure it for maintainability

Know when to move fast—and when to slow down
You understand the difference between quick experiments and systems that can scale—and you know how to build both.

Nice to Have ➕

Experience building AI assistants, copilots, or agent-based systems

Familiarity with evals, retrieval, tracing, and observability

Experience with product analytics and experimentation

Full-stack development experience

Background in e-commerce, edtech, fintech, or trading systems

Experience building internal tools or zero-to-one products

Exposure to regulated or high-stakes environments

How Success Will Be Measured (First 90 Days) 📈

Ship multiple high-quality prototypes and internal tools

Significantly reduce time from idea → testable product

Demonstrate strong judgment in:

When to use AI agents

When to simplify

When to productionize

Create reusable patterns for AI-assisted product development

Contribute meaningfully across multiple product areas