Hire Overseas
AIEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Engineer at Hire Overseas. Skills: AI Engineer, AI-Native Product Development, Full-Stack Engineering, Systems Thinking and Delivery, Python, JavaScript, TypeScript, LLMs, AI coding tools. Build and ship AI-powered features and systems with LLMs at the core of the application logic. Use Claude Code, Cursor, Codex, or equivalent daily to produce production-quality code”
What You'll Achieve.
build intelligent software systems for clients who want AI in production; produce production-quality code; design reliable, context-aware systems; Own solution delivery from initial design through deployment and iteration; Build and maintain services, APIs, and codebase architecture with an eye on long-term maintainability; produce clean, functional UIs; Contribute to end-to-end delivery across client engagements; build things that actually ship; use AI to pay more attention to what matters rather than less; work on real problems with a team that values directness and craft; do your best work
Industry & Context.
Translate ambiguous client problems into structured technical solutions
Portfolio link showing examples of AI-powered or full-stack projects you have built and shipped, Short Loom video (1 to 2 minutes) walking through one project you are proud of, what you built, how you used AI coding tools in the process, and what you would do differently, Only candidates who submit both a portfolio and Loom video will be moved to the next step of the hiring process.
What They're Looking For.
Must Have
Proficiency in Python or JavaScript with literacy in both, Active daily use of Claude Code, Cursor, or a comparable AI coding tool as a primary development workflow, Solid software engineering fundamentals including service design, codebase structure, and deployment basics, Some prior exposure to cloud services and deployments, Frontend literacy and enough taste in UI to produce decent pages with AI assistance, written communication: you document decisions, flag risks early, and ask clarifying questions before problems escalate, Curiosity, optimism, and a bias toward running the experiment rather than arguing about it
Nice to Have
Experience shipping applications where LLMs drive core application logic including tools, MCP, and context engineering, GCP experience specifically Cloud Run, Firestore or Postgres, Pub/Sub, and IAM, Familiarity with LangChain, LangGraph, or custom orchestration with the Anthropic SDK, Infrastructure-as-code experience with Terraform or equivalent, design sensibility that goes beyond functional to visually polished
What You'll Do.
Build and ship AI-powered features and systems with LLMs at the core of the application logic
or equivalent daily to produce production-quality code
Work with the Anthropic SDK and AI frameworks to design reliable
context-aware systems
Own solution delivery from initial design through deployment and iteration
Write production-quality Python and JavaScript or TypeScript across backend and frontend
Build and maintain services
and codebase architecture
Develop frontend interfaces
Work across the stack: GCP
Firestore and Postgres
Translate ambiguous client problems into structured technical solutions
and ask clarifying questions before they become emergencies
Check your own work before asking anyone else to review it
Contribute to end-to-end delivery across client engagements
How You'll Work.
Team & Collaboration
Work directly with senior leadership on real client problems; Be part of a small, ambitious team where your work is visible and your opinion is heard; Contribute to end-to-end delivery across client engagements
Communication Scope
written communication: you document decisions, flag risks early, and ask clarifying questions before problems escalate; Record an video introduction to showcase your communication skills and work experience
Process & Methodology
Own meaningful pieces of development end to end from UX to deployment, Translate ambiguous client problems into structured technical solutions, Raise risks early, write things down, and ask clarifying questions before they become emergencies, Contribute to end-to-end delivery across client engagements
Full Job Description
We're looking for an **AI Engineer** to join a small, fast-moving AI product development studio that builds intelligent software systems for clients who want AI in production, not slide decks, not demos, not proofs of concept that never ship. You will work directly with senior leadership on real client problems, own meaningful pieces of development end to end from UX to deployment, and bring an informed opinion on the best tools and approaches available. This is not a junior engineer takes tickets role. We have agents that do that. We are looking for someone who thinks in systems, owns execution, and checks their own work. You do not have to know every part of the stack on day one, but you need to be the kind of person who is actively getting better every quarter and treats the AI tooling landscape as a reason to stay sharp, not a reason to feel overwhelmed. ### Why You'll Want to Join * You will be paid in **USD** (bi-monthly: every 15th and 30th) * **Paid Time Off** in accordance with company policy * Observance of **Holidays** per company guidelines * **100% remote setup** , async-default with real-time collaboration when it matters * Work directly with senior leadership on real client problems, not isolated R&D side quests * Be part of a small, ambitious team where your work is visible and your opinion is heard ### What You'll Work On **AI-Native Product Development** * Build and ship AI-powered features and systems with LLMs at the core of the application logic * Use Claude Code, Cursor, Codex, or equivalent daily to produce production-quality code, not just as a typing assistant * Work with the Anthropic SDK and AI frameworks to design reliable, context-aware systems * Own solution delivery from initial design through deployment and iteration **Full-Stack Engineering** * Write production-quality Python and JavaScript or TypeScript across backend and frontend * Build and maintain services, APIs, and codebase architecture with an eye on long-term maintainability
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