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Hire Overseas
Hire Overseas
1 – 10 Angajați
ConsultanțăLogisticăMarketing
Hire Overseas este o agenție de recrutare fondată în 2023, care ajută companiile să găsească talente din străinătate pentru roluri la distanță în domenii precum tehnologie, design, marketing, suport administrativ și funcții conexe. Compania colaborează cu clienți din domenii precum consultanță, marketing și logistică, concentrându-se pe conectarea acestora cu candidați verificați cu atenție, care pot sprijini operațiunile de zi cu zi și dezvoltarea afacerii. Hire Overseas afirmă că acceptă mai puțin de 1% dintre candidații din întreaga lume în rețeaua sa de talente.
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Locurile de muncă ale companiei

Senior Deployed AI Engineer - Gemini

Build and deploy Gemini-powered enterprise AI products for a global data and AI consulting firm. Own full-stack development, RAG pipelines, agent systems, evaluations, and client delivery.

ARArgentinaBRBraziliaPEPeru
45.000 $ – 65.000 $ / an
RemoteNormă întreagăSeniorLimbă Obligatorie: englezăInginer AIInginer de învățare automată
AWSAzureBigQueryCloudGoogle Cloud PlatformJavaScriptNode.jsPythonReactTypeScript

Descriere

  • Create user-facing applications with TypeScript and React, plus backend services and APIs in Python or Node.
  • Develop agentic capabilities such as orchestration, tool and function calling, memory, and guardrails.
  • Build RAG pipelines for ingestion, chunking, embeddings, and vector or hybrid search.
  • Design and develop agents using Gemini models, Vertex AI, the Agent Development Kit, and Agent Engine.
  • Configure Gemini Enterprise features including Agent Designer, Inbox, and agent sandboxes.
  • Integrate Gemini Enterprise with client application environments using first-party and partner connectors, permissions, governance, and audit trails.
  • Develop grounded applications with Vertex AI Search, RAG Engine, Google Search grounding, and BigQuery.
  • Enable agent interoperability through A2A and MCP.
  • Create evaluation suites and regression tests for LLM features, while monitoring production cost, latency, and quality.
  • Deploy AI systems on GCP, Azure, or AWS and maintain their supporting data pipelines.
  • Use Claude Code, Gemini CLI, Codex, or Cursor daily with appropriate verification and review.
  • Report progress, trade-offs, and blockers to clients and project leads.
  • Provide pre-sales support as needed.
  • Mentor junior engineers.
  • Help develop internal accelerators, reusable components, and engineering standards.

Cerințe

  • 3–5 years of experience in software or data engineering.
  • Substantial hands-on experience using AI tools and developing with LLMs during the past year.
  • Strong practical experience with Gemini models and Vertex AI; Gemini Enterprise or ADK experience is preferred.
  • At least one solution deployed to production on GCP.
  • Strong Python and TypeScript or JavaScript programming skills.
  • Experience developing and consuming APIs.
  • Front-end development experience with React or a comparable framework.
  • Experience with at least one backend framework.
  • Practical experience with RAG, embeddings, and vector search.
  • Experience with an agentic framework such as Google ADK, LangGraph, or LangChain.
  • Strong GCP experience; Azure or AWS experience is an advantage.
  • Proficiency with Claude Code, Gemini CLI, Codex, or Cursor.
  • Experience building and maintaining data pipelines.
  • Professional English proficiency at a minimum C1 or C2 level.
  • Bachelor’s or master’s degree in computer science, engineering, or a related discipline, or equivalent practical experience.
  • Obtain Google Cloud certification within the first two months if not already certified.
  • Current resume.
  • GitHub profile or portfolio demonstrating AI systems or full-stack projects built and shipped to production.
  • A 1–2 minute Loom video introducing yourself and discussing a production AI system, its evaluation, and reliability.
  • Portfolio and Loom video are required to advance to the next hiring stage.

Beneficii

  • Fully remote work arrangement.
  • Full-time schedule with dedicated working hours.
  • Payment twice monthly on the 15th and 30th.
  • Paid time off in line with company policy.
  • Holidays observed according to company guidelines.
  • Google Cloud certification exam sponsorship with dedicated preparation time.
  • Compensation paid in USD.

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