73 Generative AI jobs in the Philippines

Roles & Responsibilities:

• Expected to be an SME
• Collaborate and manage the team to perform
• Responsible for team decisions
• Engage with multiple teams and contribute on key decisions
• Provide solutions to problems for their immediate team and across multiple teams
• Facilitate knowledge sharing and mentorship within the team to foster a culture of continuous learning
• Analyze project requirements and translate them into technical specifications to guide development efforts
• Monitor and evaluate the performance of applications, making recommendations for improvements

Professional & Technical Skills:

• The candidate should have minimum 3 years of experience in Generative AI
• Expert proficiency in Generative AI
• Experience with Java Enterprise Edition, Python (Programming Language), DevOps
• Experience in developing and deploying scalable applications in cloud environments
• Proficiency in API design and development, ensuring robust and secure integrations
• Familiarity with front-end technologies and frameworks to create user-friendly interfaces
• The candidate should be amenable to work onsite at our Cebu office

As a LLM Full Stack Engineer, you will engage in the development and integration of applications utilizing Large Language Models and various enterprise services. Your typical day will involve collaborating with cross-functional teams to design and implement APIs, optimizing AI applications, and applying DevOps practices to enhance the efficiency and performance of the systems you work on.

Develop and integrate applications with Large Language Models (LLMs) and other enterprise services. Leverage front-end and server-side technologies to develop APIs, implement DevOps practices, and optimize Artificial Intelligence (AI) applications.

Roles & Responsibilities:

• Expected to be an SME.
• Collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Facilitate knowledge sharing and mentoring within the team to foster a culture of continuous learning.
• Analyze project requirements and translate them into technical specifications to guide development efforts.
• Monitor and evaluate the performance of applications, making recommendations for improvements.

Professional & Technical Skills:

• Required Skill: Expert proficiency in Generative AI.
• Additional Good To Have Skills: Experience with Java Enterprise Edition, Python (Programming Language), DevOps.
• Strong understanding of machine learning principles and frameworks.
• Experience in developing scalable applications and services.
• Proficiency in API design and development.
• Familiarity with cloud platforms and deployment strategies.

Additional Information:

• The candidate should have minimum 1 year of experience in Generative AI.
• This position is based at our Manila office.

#LI-PH

As a LLM Full Stack Engineer, you will engage in the development and integration of applications utilizing Large Language Models and various enterprise services. Your typical day will involve collaborating with cross-functional teams to design and implement APIs, optimizing AI applications, and applying DevOps practices to enhance the efficiency and performance of the systems you work on.

Develop and integrate applications with Large Language Models (LLMs) and other enterprise services. Leverage front-end and server-side technologies to develop APIs, implement DevOps practices, and optimize Artificial Intelligence (AI) applications.

Roles & Responsibilities:

• Expected to be an SME.
• Collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Facilitate knowledge sharing and mentoring within the team to foster a culture of continuous learning.
• Analyze project requirements and translate them into technical specifications to guide development efforts.

• Monitor and evaluate the performance of applications, making recommendations for improvements.
  Professional & Technical Skills:

• Required Skill: Expert proficiency in Generative AI.

• Additional Good To Have Skills: Experience with Java Enterprise Edition, Python (Programming Language), DevOps.
• Strong understanding of machine learning principles and frameworks.
• Experience in developing scalable applications and services.
• Proficiency in API design and development.

• Familiarity with cloud platforms and deployment strategies.
  Additional Information:

• The candidate should have minimum 1 year of experience in Generative AI.

• This position is based at our Manila office.

Roles & Responsibilities:

• Expected to be an SME.

• Collaborate and manage the team to perform.

• Responsible for team decisions.

• Engage with multiple teams and contribute on key decisions.

• Provide solutions to problems for their immediate team and across multiple teams.

• Facilitate knowledge sharing and mentorship within the team to foster a culture of continuous learning.

• Analyze project requirements and translate them into technical specifications to guide development efforts.

• Monitor and evaluate the performance of applications, making recommendations for improvements.

Professional & Technical Skills:

• Required Skill: Expert proficiency in Generative AI.

• Additional Good To Have Skills: Experience with Java Enterprise Edition, Python (Programming Language), DevOps.

• Strong understanding of machine learning principles and algorithms.

• Experience in developing and deploying scalable applications in cloud environments.

• Proficiency in API design and development, ensuring robust and secure integrations.

• Familiarity with front-end technologies and frameworks to create user-friendly interfaces.

Additional Information:

• The candidate should have minimum 3 years of experience in Generative AI.

• This position is based at our Cebu office.

Job Type: Full-time

Pay: Php40, Php60,000.00 per month

Benefits:

• Paid training

Work Location: In person

Summary:

As a LLM Full Stack Engineer, you will engage in the development and integration of applications utilizing Large Language Models and various enterprise services. Your typical day will involve collaborating with cross-functional teams to design and implement APIs, optimizing AI applications, and applying DevOps practices to enhance the efficiency and performance of the systems you work on.

Develop and integrate applications with Large Language Models (LLMs) and other enterprise services. Leverage front-end and server-side technologies to develop APIs, implement DevOps practices, and optimize Artificial Intelligence (AI) applications.

Roles & Responsibilities:

• Expected to be an SME.
• Collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Facilitate knowledge sharing and mentoring within the team to foster a culture of continuous learning.
• Analyze project requirements and translate them into technical specifications to guide development efforts.

• Monitor and evaluate the performance of applications, making recommendations for improvements.
  Professional & Technical Skills:

• Required Skill: Expert proficiency in Generative AI.

• Additional Good To Have Skills: Experience with Java Enterprise Edition, Python (Programming Language), DevOps.
• Strong understanding of machine learning principles and frameworks.
• Experience in developing scalable applications and services.
• Proficiency in API design and development.

• Familiarity with cloud platforms and deployment strategies.
  Additional Information:

• The candidate should have minimum 3 years of experience in Generative AI.

• This position is based at our Manila office.

Summary:

As a LLM Full Stack Engineer, you will engage in the development and integration of applications utilizing Large Language Models and various enterprise services. Your typical day will involve collaborating with cross-functional teams to design and implement APIs, optimizing AI applications, and applying DevOps practices to enhance the efficiency and performance of the systems you work on.

Develop and integrate applications with Large Language Models (LLMs) and other enterprise services. Leverage front-end and server-side technologies to develop APIs, implement DevOps practices, and optimize Artificial Intelligence (AI) applications.

Job Title: AI Solutions Engineer (Cloud/SQL Integration)

Project Duration: (open-ended)

Contract role until solution is fully deployed, tested, and operational.

Any timezone

$15-20/hr

Overview:

We are seeking a technical expert to design and implement a secure AI assistant that enables company leadership to query internal business data in plain English. The solution should leverage existing AI tools (e.g., Azure OpenAI, Copilot, or private LLMs), integrate with SQL databases, and ensure strict data privacy without relying on public LLMs.

Responsibilities:

• Assess available AI platforms and recommend the most suitable solution (Copilot, Azure OpenAI, private LLM, etc.).
• Configure and deploy the chosen solution to operate in a secure, private environment.
• Enable natural language-to-SQL translation so leadership can query internal databases directly (e.g., "What store is Ed running now and what's the profit?").
• Integrate the AI assistant with internal systems and ensure mobile access for leadership.
• Test, validate, and optimize performance to ensure accuracy, privacy, and usability.
• Provide documentation and knowledge transfer upon completion.

Requirements:

• Strong expertise in AI/LLM solutions, data engineering, and SQL integration.
• Hands-on experience with cloud platforms (Azure, AWS, or GCP) and private AI deployments.
• Proven ability to implement secure AI solutions without exposing sensitive data to external providers.
• Background in solution architecture, integration, and deployment rather than model-building from scratch.
• Excellent problem-solving skills and ability to translate business needs into technical solutions.

Gen AI

Location Philippines

Client: Capgemini

• We need minimum 8+ years of relevant experience in Gen AI/ Generative AI.
• GenAI/ Generative AI - LLM/RAG/Agentic (you can find these skills in the correct resume)
• You will get lots of profiles from India and Malaysia, try to source some expats who can work in Philippines.
• Need strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), MLOps tools (e.g., MLflow, Kubeflow), and cloud platforms and infrastructure as code (e.g., AWS, Azure).
• GPU is mandatory.

Just to understand you ML and AI both are different than Gen AI.

• Gen AI / AI / ML these all 3 skills are different
• ML-AI models (regression, classification, random forest, XG Boost, etc) for prediction
• AI - More like Azure AI services, speech to text, voice recognition, image processing, etc

Location: Philippines

Experience: 3+ years

Employment Type: Full-time (Contract)

Team: Data & AI Team

About the Role

We are seeking a passionate and hands-on AI Engineer to join our growing Data & AI team. In this role, you will design, develop, and deploy next-generation LLM-powered chatbot, search, and automation solutions for enterprise use cases.

You will work with Google Cloud Vertex AI, Document AI, Dialogflow CX, LangChain, LangGraph, and vector databases to build intelligent conversational interfaces, RAG (Retrieval-Augmented Generation) systems, and AI-driven knowledge applications.

This is a highly technical and client-facing position — ideal for someone who enjoys solving real-world problems using cutting-edge AI tools, frameworks, and Google Cloud technologies.

Key Responsibilities

• Design, develop, and optimize AI chatbots using LLMs (e.g., Gemini, LLaMA, Claude, etc.)
• Build semantic and enterprise search systems powered by RAG pipelines and vector databases
• Orchestrate LLM workflows using LangChain and LangGraph
• Develop backend services and APIs using FastAPI for AI-powered applications
• Build interactive AI dashboards and demos using Streamlit for rapid prototyping and client presentations
• Implement prompt engineering, model tuning, and evaluation for various business domains
• Integrate and deploy solutions leveraging Google Cloud Vertex AI, Document AI, Dialogflow CX, BigQuery, and Cloud Functions
• Fine-tune foundation models and implement domain-specific customizations where needed
• Contribute to best practices, documentation, CI/CD pipelines, and code reviews
• Collaborate closely with Data Engineers and Solution Architects to deliver scalable AI systems

Essential Skills & Experience

• 3+ years of experience as an
  AI/ML Engineer
  or
  Software Engineer
  in AI-focused project
• Strong understanding of
  LLMs, transformers
  , and
  conversational AI architectures
• Proven experience with
  LangChain
  ,
  LangGraph
  , or similar LLM orchestration frameworks
• Hands-on experience with
  FastAPI
  (or Flask) for backend service development
• Experience with
  Streamlit
  for building interactive AI demos or internal tooling
• Familiarity with
  Prompt Engineering
  ,
  RAG pipelines
  , and
  LLM evaluation methodologies
• Proficient in
  vector search
  ,
  embeddings
  , and
  similarity-based retrieval
  (e.g., FAISS, Weaviate, Pinecone, Milvus)
• Working knowledge of
  Dialogflow CX
  ,
  Vertex AI
  , and
  Document AI
• Strong foundation in
  software engineering
  — Git, CI/CD, REST APIs, testing

Bonus Skills (Nice to Have)

• Experience with data engineering tools (ETL, Airflow, dbt, BigQuery, or Snowflake)
• Experience integrating external data sources, web crawlers, or knowledge bases
• Familiarity with data lake/warehouse architecture and data pipeline design
• Cloud infrastructure knowledge: GCP, AWS, or Azure
• Experience fine-tuning open-source LLMs (LLaMA, Mistral, Falcon, etc.)
• Understanding of LLM safety, reliability, and cost-performance optimization
• Exposure to frontend frameworks (React, ) for chatbot UI integration