Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 3 days ago

Senior Deployed AI Engineer (Gemini) (PCS848)

Workable (global search)108,016 open roles

Where
Buenos Aires, Argentina
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Deployed AI Engineer (Gemini) (PCS848)Workable (global search) · Buenos Aires, Argentina

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workable (global search)'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 3 days ago

Workable (global search) median: 7 days open

The posting

💼 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
  • 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
  • Strong working experience with GCP; Azure or AWS is a plus
  • Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor, and experience building and maintaining data pipelines
  • Professional English proficiency at C1 or C2 level minimum, as you'll work daily with international clients and colleagues
  • Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience
  • A Google Cloud certification is a strong differentiator at application; if you don't hold one yet, obtaining one within the first two months is required, with exam sponsorship and prep time provided. The preferred certification is Google Cloud Professional Machine Learning Engineer, covering Vertex AI, generative AI, and production ML

Nice to Have

  • Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling such as LangSmith, Langfuse, or promptfoo
  • Experience with Terraform or CI/CD pipelines
  • Experience with GCP, BigQuery, or Google Workspace integrations alongside Gemini Enterprise

Work Schedule

  • 100% remote setup so you can work wherever you're most productive
  • This position operates on a full-time basis, with dedicated hours to ensure alignment with the team and delivery of quality work
  • Availability during US business hours

Compensation & Time Off

  • 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

Application Requirements

Please submit:

  • 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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Workable (global search)'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Workable (global search)'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Workable (global search)'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.