Senior Deployed AI Engineer, Gemini

🔥 22 hours ago

🌐 Argentina, Peru, +1 more countries – Remote

🇦🇷 Argentina – Remote 🇵🇪 Peru – Remote 🇧🇷 Brazil – Remote

💵 $45k - $65k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Hire Overseas

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design, build, and deliver full-stack AI products for enterprise clients • 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 retrieval-augmented generation pipelines covering ingestion, chunking, embeddings, and vector and hybrid search • Design and build agents with Gemini models, Vertex AI, the Agent Development Kit, and Agent Engine • Implement and configure Gemini Enterprise, including Agent Designer, Inbox, and agent sandboxes • Connect Gemini Enterprise to client application landscapes through first-party and partner connectors with permissions, governance, and auditability • Build grounded retrieval-backed applications with Vertex AI Search, RAG Engine, Google Search grounding, and BigQuery • Implement agent interoperability through A2A and MCP • Track Google's releases and translate new capabilities into client value • Write evaluation suites and regression tests for LLM-powered features • Monitor production cost, latency, and quality • Deploy on GCP, Azure, or AWS • Build and maintain data pipelines feeding AI systems • Use agentic coding tools daily with verification and review • Communicate progress, trade-offs, and blockers to clients and project leads • Support pre-sales when needed • Mentor junior engineers • Contribute to internal accelerators, reusable components, and engineering standards

🎯 Requirements

• 3 to 5 years of software or data engineering experience, with extensive hands-on use of AI tools and LLM-based development over the past year • Strong hands-on experience with the Google AI stack, including Gemini models and Vertex AI; ideally Gemini Enterprise or ADK • At least one solution taken to production on GCP • 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 Google ADK, LangGraph, or LangChain • Strong working experience with GCP; Azure or AWS is a plus • Fluency with Claude Code, Gemini CLI, Codex, or Cursor • Experience building and maintaining data pipelines • 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 • Google Cloud certification is required within the first two months if not already held • 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, presenting one production AI system owned end to end on the Google stack, and explaining evaluation and reliability approach • Must submit both a portfolio and Loom video to proceed to the next hiring step • Availability during US business hours

🏖️ Benefits

• Compensation paid in USD • Paid bi-monthly on the 15th and 30th • Paid Time Off according to company policy • Holidays observed according to company guidelines • 100% remote setup • Exam sponsorship and prep time provided for obtaining a Google Cloud certification • Full-time schedule with dedicated hours for team alignment and quality delivery

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume