Senior Deployed AI Engineer, Gemini & Vertex AI (Remote)

Hire Overseas

Cordoba

Remote

COP 383,767,000 - 575,650,000

Full time

5 days ago
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Benefits offered by this job

Remote work
Paid time off
Salary paid in USD

Job summary

Hire Overseas is seeking a Senior Deployed AI Engineer specialized in Gemini Enterprise to design and deliver full‑stack AI products for enterprise clients. You will work embedded with customers, taking features from concept to production across front-end, back-end, data pipelines, and deployment.

The role requires 3–5 years of software/data engineering, strong Google AI stack experience, Python and TypeScript, React, and cloud proficiency.

Qualifications

  • 3–5 years of software or data engineering experience with hands-on AI tooling.
  • Strong experience with Google AI stack: Gemini, Vertex AI, ADK.
  • Python and TypeScript/JavaScript, API development experience.
  • Frontend in React, backend frameworks, and data pipelines.
  • Experience with RAG, embeddings, vector search, agentic frameworks.
  • Proficiency in English (C1/C2) for international collaboration.

Responsibilities

  • Develop user interfaces in TypeScript/React and backend APIs in Python/Node.
  • Implement agentic behavior, tooling calls, memory and guardrails.
  • Build retrieval-augmented pipelines with embeddings and vector search.
  • Design agents with Gemini models, Vertex AI, and ADK.
  • Connect Gemini Enterprise to client landscapes with governance and auditability.
  • Write and run evaluation suites; monitor cost, latency, quality.

Skills

Python
TypeScript
React
APIs
GCP knowledge
English proficiency

Education

Bachelor's or Master's in CS/Engineering

Tools

Gemini Enterprise
Vertex AI
ADK
LangChain
Claude Code
Codex
Cursor

Job description

Hire Overseas is seeking a Senior Deployed AI Engineer specialized in Gemini Enterprise to design and deliver full‑stack AI products for enterprise clients. You will work embedded with customers, taking features from concept to production across front-end, back-end, data pipelines, and deployment.

The role requires 3–5 years of software/data engineering, strong Google AI stack experience, Python and TypeScript, React, and cloud proficiency.

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