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More roles at Hire OverseasSenior Deployed AI Engineer (Gemini) (PCS848)
Remote role where the employee must remain based in a particular country.
Listed for Argentina
From the employer's advert: 💼 Senior Deployed AI Engineer (Gemini) 🌎 Peru, Argentina, Brazil 🏠 Remote
Employer listed it 4 weeks ago · Added 2 weeks ago
Been open since 4 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Listed for Argentina
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Software
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
Availability during US business hours
- Where you can work from
Build retrieval-augmented generation pipelines covering ingestion, chunking, embeddings, and vector and hybrid search
- Contract
This position operates on a full-time basis, with dedicated hours to ensure alignment with the team and delivery of quality work
- Experience asked for
- Not mentioned in the advert
- Pay
Compensation & Time Off
Remote flexibility
Work from home
This is a remote role, but the employee must be based in Argentina. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Buenos Aires, Argentina, Buenos Aires, Argentina, Buenos Aires, Buenos Aires, Argentina, Remote"
What Nomaders makes of it
- Residency required in Argentina
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Experience: employer states
Written as a requirement
- “Experience with front-end development in React or similar frameworks, and at least one backend framework”
- “Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework such as Google ADK, LangGraph, or LangChain”
Written as a nice-to-have
- “Strong hands-on experience with the Google AI stack, including Gemini models, Vertex AI, and ideally Gemini Enterprise or ADK, with at least one solution taken to production on GCP”
- “Strong working experience with GCP; Azure or AWS is a plus”
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
💼 Senior Deployed AI Engineer (Gemini) 🌎 Peru, Argentina, Brazil 🏠 Remote
About Our Client
Our client is a global data and AI consulting firm serving enterprise clients across multiple industries, including FMCG, financial services, healthcare, manufacturing, and the public sector, with a team of data and AI experts spread across 20+ countries.
About the Role
We're looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack to design, build, and deliver full-stack AI products for enterprise clients. You'll work embedded with clients, take AI features from idea to production, and serve as the team's reference for Google's enterprise AI platform.
You'll own your components end to end: the front end, the service behind it, the data and retrieval pipelines feeding it, the deployment, and the evaluations proving it works. Beyond Google platform depth, you'll be expected to deliver confidently across the full stack, including full-stack development, data engineering, cloud infrastructure, and client communication.
Responsibilities
Develop user-facing interfaces in TypeScript and React, along with the backend services and APIs behind them 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 for clients, including Agent Designer, the Inbox for managing long-running agents, and agent sandboxes
Connect Gemini Enterprise to client application landscapes through first-party and partner connectors with proper permissions, governance, and auditability
Build grounded, retrieval-backed applications with Vertex AI Search, RAG Engine, grounding with Google Search, and BigQuery as the data backbone
Implement agent interoperability through the A2A protocol and MCP, and track Google's releases closely to translate new capabilities into client value
Write evaluation suites and regression tests for LLM-powered features, monitoring cost, latency, and quality in production
Deploy on cloud infrastructure across GCP, Azure, or AWS, and build and maintain the data pipelines feeding AI systems
Use agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor daily with good judgment about verification and review
Communicate progress, trade-offs, and blockers clearly to clients and project leads, and support pre-sales when needed
Mentor junior engineers and contribute to internal accelerators, reusable components, and engineering standards
What We're Looking For
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, Vertex AI, and ideally Gemini Enterprise or ADK, with at least one solution taken to production on GCP
Strong programming skills in Python and TypeScript or JavaScript, with experience building and consuming APIs
Requirements
- ·An updated resume
- ·A GitHub link or portfolio showing AI systems or full-stack projects you've built and shipped in production, with a focus on the Google AI stack or agentic work
- ·A 1–2 minute Loom video introducing yourself, walking through one production AI system you owned end to end on the Google stack, and explaining how you approached evaluation and reliability alongside the feature build
- ·Only candidates who submit both a portfolio and Loom video will be moved to the next step of the hiring process.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Hire Overseas, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 17d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Pay not stated · You'll be taken to Hire Overseas's application page. They are recruiting on behalf of a client.