
1 - 10 employees
Founded 2023
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Hire Overseas is a recruitment agency that specializes in connecting businesses with top-tier overseas talent. By focusing on a range of roles from technical and design fields to marketing and administrative support, Hire Overseas aims to streamline operations and boost productivity for its clients while offering significant cost savings. The company prioritizes quality by accepting less than 1% of global hires, ensuring that only exceptional candidates are placed in various remote positions.
🔥 1 hour ago
🌐 Argentina, El Salvador, +4 more countries – Remote
💵 $45k - $65k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👷🏻♀️ Engineer
👻 Ghost score 20%
Where this job comes from
Posted on Hire Overseas's careers page, not through a job board
First seen by Remote Rocketship 1 hour ago

1 - 10 employees
Founded 2023
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Hire Overseas is a recruitment agency that specializes in connecting businesses with top-tier overseas talent. By focusing on a range of roles from technical and design fields to marketing and administrative support, Hire Overseas aims to streamline operations and boost productivity for its clients while offering significant cost savings. The company prioritizes quality by accepting less than 1% of global hires, ensuring that only exceptional candidates are placed in various remote positions.
• Design and build full-stack AI applications, agentic systems, and production-grade AI infrastructure • Develop user-facing interfaces in TypeScript and React • Build backend services and APIs in Python or Node • Implement agentic behavior including orchestration, tool and function calling, memory, and guardrails • Build RAG pipelines covering ingestion, chunking, embeddings, and vector and hybrid search • Connect AI systems to enterprise data and applications via APIs, semantic layers, and protocols such as MCP • Write evaluation suites and regression tests for LLM-powered features • Monitor cost, latency, and quality in production • Apply version control, code review, automated testing, CI/CD, and observability • Deploy on GCP, Azure, or AWS cloud infrastructure • Build and maintain data pipelines feeding AI systems • Use Claude Code, Gemini CLI, Codex, or Cursor daily with verification and review • Communicate progress, trade-offs, and blockers to clients and project leads • Support pre-sales through solution scoping, demos, and effort estimation • Mentor junior engineers • Contribute to internal accelerators, reusable components, and engineering standards
• 3 to 5 years of software or data engineering experience • Extensive hands-on use of AI tools and LLM-based development over the past year • Strong programming skills in Python and TypeScript or JavaScript • Experience building and consuming APIs • Front-end development experience in React or similar frameworks • Experience with at least one backend framework • Hands-on experience with RAG, embeddings, and vector search • Experience with at least one agentic framework such as LangGraph, LangChain, Google ADK, Claude Agent SDK, or OpenAI Agents SDK • Deep specialization in at least one major AI platform ecosystem: Google, Anthropic, or OpenAI • Working experience with at least one cloud platform: GCP, Azure, or AWS • Experience building and maintaining data pipelines • Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor • Professional English proficiency at C1 or C2 level minimum • Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience • A certification on at least one major AI platform or cloud is required within the first two months if not already held • Availability during US business hours • Updated resume • GitHub link or portfolio showing AI systems or full-stack projects built and shipped in production • 1–2 minute Loom video introducing yourself and discussing one production AI system owned end to end, including evaluation and reliability
• 100% remote setup • Paid Time Off according to company policy • Holidays observed according to company guidelines • Compensation paid in USD • Paid bi-monthly on the 15th and 30th • Exam sponsorship and prep time provided for obtaining a major AI platform or cloud certification within the first two months • Dedicated hours to ensure alignment with the team and delivery of quality work
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