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

Open nowPosted 178 days ago

Staff AI Engineer

Workable (global search)108,016 open roles

Where
Shenzhen, Guangdong Province, China
Get the CV for this job

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

Your applicationOpen nowStaff AI EngineerWorkable (global search) · Shenzhen, Guangdong Province, China

  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 178 days ago

Workable (global search) median: 7 days open

The posting

About Wati

Started as a WhatsApp team inbox in 2020, Wati has evolved into an AI-powered customer engagement platform that goes beyond a single channel. Designed for businesses that sell, support, and grow through conversations, Wati observes customer intent in real time, decides the next best revenue action, and executes it across marketing, sales, and support — on WhatsApp, Instagram, Facebook, TikTok, SMS, and more.

Trusted by over 16,000 customers across 190+ countries, Wati simplifies complex operations and business conversations with a unified inbox, no-code automation, and our intelligent AI layer, Astra.

Proudly backed by Tiger Global, Sequoia Capital, DST Global, and Shopify, and recognised as a Premium Partner of Meta and Google.

About the Role

We’re hiring a Staff AI Engineer to own LLM orchestration, RAG, and agent infrastructure at 4B+ messages/year scale.

Our platform processes over 4 billion messages per year across 100+ countries. Your mission is to build the robust, scalable, and intelligent systems that turn conversation data into real-time, intelligent customer experiences.

In this role, you will lead the architecture, deployment, and optimization of our LLM-driven services — including multi-provider inference orchestration, RAG pipelines, multi-agent workflows, and voice AI. This is a senior IC role with significant technical influence across the AI stack.

We need a "builder" who can bridge the gap between complex AI capabilities and massive-scale production environments, ensuring our AI is fast, reliable, and cost-effective.

What You Will Own

  • Core LLM Infrastructure: Architect and lead our AI production stack, including multi-provider LLM gateway optimization, token budget management, and low-latency inference routing across OpenAI, Gemini, and other providers.
  • Agentic AI & RAG: Design and implement scalable RAG (Retrieval-Augmented Generation) systems, multi-step AI agent workflows, and tool-calling infrastructure (MCP), ensuring high accuracy and reliability in customer interactions.
  • Voice & Multimodal AI: Lead the evolution of our voice AI layer (WebRTC/realtime) and cross-channel agent coordination across text, voice, and connected messaging platforms.
  • AI Production Lifecycles: Own the "Engineering-to-AI" loop: building automated pipelines for data collection, cleaning, fine-tuning orchestration, and model versioning.
  • Performance & Cost Optimization: Continuously optimize API costs, token budgets, latency, and caching strategies to ensure our 4-billion-message scale remains sustainable and performant.
  • Evaluation & Benchmarking: Build the infrastructure for systematic AI quality assessment, identifying failure modes and ensuring model improvements are grounded in real-world production metrics.
  • Technical Roadmap: Drive technology decisions in close collaboration with engineering leadership, selecting frameworks and architectural patterns that will define our AI future.

Requirements

What We Are Looking For

  • Systems Expert: 5+ years of professional experience in backend or infrastructure engineering. Mastery of at least one high-performance language (Go, Rust, or C++) and deep proficiency in Python.
  • AI Deployment Mastery: Proven track record of taking LLMs/NLP models from experiments to high-traffic production. You understand multi-provider orchestration, prompt engineering at scale, and model drift management.
  • Data Pipeline Experience: Strong experience building data pipelines for AI workloads, including document processing, embedding generation, and vector search.
  • Product-Minded Engineer: You don’t just build for the sake of tech; you understand how AI performance impacts customer outcomes and business value.
  • Autonomous Builder: You thrive in environments with high ambiguity and can design, code, and deploy complex systems independently.
  • Experience with vector databases (e.g., Qdrant, Milvus, Pinecone) and RAG architecture patterns.
  • Familiarity with agentic frameworks, tool-calling protocols (MCP, function calling), or multi-agent orchestration.
  • Experience with real-time voice/audio AI pipelines (WebRTC, LiveKit, or similar).
  • Infrastructure-as-Code experience with GCP/AWS, Docker, and Kubernetes.

Benefits

You’ll own AI quality across a platform that serves 16,000+ businesses in 190+ countries. The data pipeline and production infrastructure are in place — your job is to push the frontier: better models, smarter agents, faster inference, and measurable business impact.

You’ll have direct access to the founding team and the autonomy to shape our AI roadmap. This is a rare IC opportunity to own AI end-to-end at production scale, with real data, real customer impact, and a direct line to product decisions.

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.