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

Open nowFirst seen 36 hours ago

AI Developer

PM Consulting1,469 open roles

Where
Taguig, Metro Manila, Philippines
Get the CV for this job

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

Your applicationOpen nowAI DeveloperPM Consulting · Taguig, Metro Manila, Philippines

  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 PM Consulting'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.

11.9% of postings close within 7 days. Measured by our own scanner across the market. PM Consulting postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 36 hours ago

PM Consulting median: 1 days open

The posting

Job Overview

Our client is looking for an AI Developer with hands-on experience in developing and deploying enterprise AI solutions powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Machine Learning (ML). This role is responsible for building intelligent applications that enhance automation, operational efficiency, and incident analysis while integrating seamlessly with enterprise platforms.

The successful candidate will design end-to-end AI workflows, implement vector search solutions, optimize retrieval pipelines, and develop machine learning models for anomaly detection. The role also requires a strong understanding of AI governance, model lifecycle management, and Responsible AI practices to ensure scalable, secure, and production-ready solutions.

Key Responsibilities

  • Design and develop AI-powered solutions using Large Language Models (LLMs) to support automation, root cause analysis, incident summarization, and intelligent workflow orchestration.
  • Build machine learning models that identify anomalies and patterns within operational and infrastructure data.
  • Integrate AI capabilities into existing enterprise systems to improve monitoring, reporting, and business process automation.
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, including chunking strategies, embedding generation, and semantic retrieval.
  • Configure and maintain vector databases to support high-performance similarity search and contextual information retrieval.
  • Collaborate with cross-functional stakeholders to gather requirements, validate AI solutions, and continuously improve model performance.
  • Ensure AI applications comply with Responsible AI principles, governance standards, and documentation requirements.
  • Support the deployment, monitoring, and ongoing optimization of AI and machine learning models in production environments.

Qualifications Experience

  • Demonstrated experience developing and deploying AI-powered applications in production environments.
  • Hands-on experience building transformer-based workflows, prompt engineering solutions, and LLM-driven automation.
  • Experience implementing Retrieval-Augmented Generation (RAG) architectures using modern retrieval and context management techniques.
  • Practical experience with vector databases and semantic search technologies, including indexing, metadata filtering, and data partitioning strategies.
  • Experience integrating AI solutions with enterprise applications and operational platforms.
  • Knowledge of the complete machine learning lifecycle, including model development, evaluation, deployment, and production monitoring.

Technical Knowledge Candidates should have strong knowledge in the following areas:

Core Technical Expertise

  • Large Language Models (LLMs) and Generative AI technologies.
  • Transformer architectures, embeddings, prompt engineering, and model optimization techniques.
  • Retrieval pipelines, vector indexing, and semantic search methodologies.
  • Retrieval-Augmented Generation (RAG) architectures and context optimization strategies.
  • Vector databases, similarity search, metadata filtering, and indexing techniques.
  • Embedding generation, document chunking strategies, and retrieval frameworks such as LangChain, LlamaIndex, or similar technologies.

Additional Technical Knowledge

  • Machine learning concepts, including supervised, unsupervised, and deep learning approaches.
  • Feature engineering and data preparation using Python-based machine learning libraries.
  • Time-series forecasting techniques and predictive modeling.
  • Supervised learning algorithms for anomaly detection and predictive analytics.
  • Model deployment using containerization, orchestration platforms, and MLOps tools.
  • Monitoring model performance, drift detection, observability, and automated AI/ML pipelines.

Skills

  • Strong analytical and problem-solving skills with the ability to develop practical AI solutions for complex business challenges.
  • Proficiency in Python and modern AI/ML development frameworks.
  • Ability to design scalable, production-ready AI architectures.
  • Experience working collaboratively within cross-functional engineering and product teams.
  • Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
  • Commitment to AI governance, security, and Responsible AI best practices.
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 PM Consulting'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 PM Consulting'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

    PM Consulting'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.