216 Microsoft AI jobs in the Philippines

Do you have a deep understanding of LLMs and embedding models? Can you confidently communicate with clients and foreign counterparts?

If your answer is yes, then
WE WANT YOU
We are looking for an AI Engineer who'll be at the forefront of designing and deploying AI-powered solutions that improve both our internal operations and client-facing services.

As An AI Engineer, Your Duties And Responsibilities Include

• Architect, deploy, and maintain scalable vector databases using platforms like Pinecone, Weaviate, Milvus, or ChromaDB.
• Design and implement efficient data ingestion pipelines from diverse sources, including emails, PDFs, SharePoint, and Slack.
• Embed internal knowledge from documents using transformer-based models.
• Develop and optimize chunking, embedding, indexing, and retrieval strategies to ensure peak RAG (Retrieval-Augmented Generation) performance.
• Build and deploy autonomous AI agents using frameworks such as LangChain, CrewAI, AutoGen, or AgentOps to automate document analysis and summarization, contract summarization, procurement tracking, and invoicing workflows.
• Fine-tune agents to seamlessly integrate with internal APIs and tools.
• Implement robust security and permission models to control agent access and actions across different departments.
• Integrate AI solutions with existing internal systems via REST, GraphQL, and Webhooks.
• Build comprehensive monitoring and logging systems to track agent performance and behavior.
• Lead the selection, fine-tuning, and optimization of both hosted and open-source models.
• Partner with stakeholders to align AI initiatives with core business objectives.
• Develop documentation and training materials for internal users.
• Stay on top of emerging AI tools and research applicable to vector-based retrieval and autonomous agents.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI/ML, Data Engineering, or a related field.
• 2-4+ years of hands-on experience in AI, ML engineering, or backend software engineering.
• Strong proficiency in Python and AI agent frameworks like LangChain, CrewAI, or similar.
• Hands-on experience with vector databases such as Pinecone, Weaviate, or ChromaDB.
• Deep understanding of LLMs and embedding models (OpenAI, Hugging Face models).
• Experience with REST APIs and data integration.
• Familiarity with Docker, cloud platforms (Azure, GCP, AWS), and CI/CD pipelines.
• Proven ability to develop enterprise-grade RAG pipelines.
• Familiarity with OAuth2 authentication and secure API token management.
• Exposure to SaaS platforms like Pabbly, Xero, or Employment Hero.
• Understanding of document structures in legal, financial, or engineering domains.
• Excellent communication skills, both written and verbal, with the ability to confidently communicate with clients and foreign counterparts.
• Strong organizational skills and the ability to manage multiple priorities in a fast-paced, deadline-driven environment.
• Proactive, punctual, and a strong team player with a high attention to detail.
• Willing to be assigned to Subic, Clark, Tarlac, Bataan, or Iba, Zambales.

Apply Now

This is a remote position.

**PHILIPPINE-BASED FILIPINO APPLICANTS

TECHNICAL ASSIGNMENT IS REQUIRED BY THE CLIENT BEFORE MOVING FORWARD TO THE FINAL INTERVIEW.**

We are seeking a visionary AI Engineer with expertise in designing and building LLM-powered AI pipelines and multi-agent chatbot systems. You will lead the architecture and implementation of Retrieval-Augmented Generation (RAG) systems, integrate LLM APIs, and orchestrate autonomous and collaborative agent workflows to deliver sophisticated AI-driven customer-facing and internal tools.

Responsibilities:
●
AI Pipeline Architecture & Development:
Design and implement end-to-end AI pipelines, including data ingestion, prompt engineering, RAG orchestration, deployment, monitoring, and retraining.

●
Multi-Agent System Design:
Build and coordinate intelligent agents (e.g., planner, retriever, synthesizer) to collaborate dynamically in complex workflows—mirroring frameworks like MA-RAG.

●
LLM Integration & Fine-Tuning:
Deploy and manage integrations with leading LLM APIs (e.g., OpenAI, Anthropic, Gemini), optimizing performance through fine-tuning, prompt design, vector databases, and tool use.

●
Tooling & MLOps (LLMOps):
Implement robust MLOps pipelines—CI/CD, monitoring, version control, observability—for LLM systems, supporting reliability and scalability.

●
Evaluation & Metrics Frameworks:
Define evaluation strategy focused on correctness, latency, hallucination, multi-step reasoning, and user experience—similar to frameworks used in agent pipeline roles.

● Cross-Functional Collaboration & Leadership:
Partner with product managers, data engineers, software teams, and domain experts to shape system behavior; mentor junior engineers and guide best practices.

Requirements

● Bachelor's or Master's degree in Computer Science, AI, or related domain.

● Experience: 5+ years building production-level LLM, AI agent, or RAG systems.

● Technical skills:

○ Python expertise; familiarity with AI/LLM frameworks (LangChain, LlamaIndex, Hugging Face, etc.)
○ Hands-on with RAG, vector embeddings, prompt engineering
○ Experience integrating LLM APIs, fine-tuning strategies, efficient inference, and memory augmentation.

● Strong background in MLOps/LLMOps—CI/CD, deployment, monitoring, observability, model versioning, A/B testing.
● Demonstrated ability to design multi-agent or autonomous systems, with experience in agent orchestration frameworks or custom pipelines.

● Excellent communication and leadership: can translate complex technical ideas and guide teams through innovation.

● Bonus: prior contributions to open-source, publications in AI, or conference speaking engagements (e.g., on advanced LLM or agent architectures).
Work Environment & Expectations
While this is a work-from-home position, it is important to note that this is a full-time role—not a freelance or flexible-hour arrangement. You will be expected to work a fixed shift and maintain a high level of professionalism and accountability, just as you would in an office environment.

This role requires:

• Discipline and commitment to set working hours (strict shift times, not flexible)

• Use of time tracking software during work hours

• Active participation in team and client calls with your camera ON

• Consistent availability and responsiveness throughout your shift

• Treating this as a long-term, full-time job—not a side gig or freelance task

Payroll is processed bi-monthly.

We're looking for someone who values structure, is dependable, and thrives in a role that provides consistency and clarity. If you're seeking stability and a team that appreciates reliability, we'd love to hear from you.

Benefits

1. Monthly Salary: Php 82,000
2. Salary will be paid on a bi-monthly basis on the 15th and 30th or 31st of each month

1. You will be paid extra for overtime and Philippines public holidays

2. Probation: 6 months and after Probation

10 days annual leave credits

5 days of sick leave

5. HMO Offered after 6-month probation
6. 13th Month Pay after 30 days

1. Annual Salary Review

2. Laptop provided after 30 days

3. Permanent work-from-home role. You will have to use your own internet.

10. SHIFT TIMES: 8AM to 5PM Philippine time, Tuesday to Saturday

Position Objective:

The AI Engineer will design, develop, and deploy artificial intelligence and machine learning solutions to automate critical insurance processes including claims processing, underwriting, risk assessment, fraud detection, and customer service operations. This role combines deep technical expertise with insurance domain knowledge to deliver scalable automation solutions that improve efficiency, accuracy, and customer experience.

Roles and Responsibilities:

• AI/ML Development
• Design and implement machine learning models for insurance-specific use cases including predictive risk modeling, automated claims assessment, and fraud detection
• Develop natural language processing solutions for document analysis, policy interpretation, and customer inquiry automation
• Build computer vision systems for automated damage assessment, medical record analysis, and document processing

• Create recommendation engines for personalized insurance products and pricing optimization

• Automation Solutions

• Architect end-to-end automation workflows that integrate AI models with existing insurance systems and processes
• Develop robotic process automation (RPA) solutions enhanced with AI capabilities for claims processing, policy administration, and regulatory compliance
• Build intelligent chatbots and virtual assistants for customer service and agent support

• Implement automated underwriting systems that combine rule-based logic with machine learning insights

• Technical Implementation

• Deploy AI models in production environments with proper monitoring, scaling, and maintenance protocols
• Integrate AI solutions with core insurance platforms, databases, and third-party APIs
• Ensure data quality, model performance, and system reliability through comprehensive testing and validation

• Collaborate with DevOps teams to establish CI/CD pipelines for ML model deployment

• Data Management & Analytics

• Work with large datasets including policy data, claims history, customer interactions, and external data sources
• Implement data preprocessing pipelines and feature engineering for model training
• Develop data governance practices ensuring compliance with insurance regulations and privacy requirements
• Create analytics dashboards and reporting tools to track automation performance and business impact

Minimum Job Requirements:

• Education
• A Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field
• Experience
• 5+ years of experience in Data Engineering or a similar role
• Advanced SQL skills; ability to write complex queries and optimize performance. Familiarity with MsSQL/OracleDB and ability to perform basic data validation and queries.
• Strong programming experience in Python or Java is a plus
• Knowledge of ETL and experience building data pipelines is a plus
• Strong understanding of SDLC (Software Development Life Cycle) and Agile/Scrum methodologies
• Familiarity with MongoDB is a plus.
• Special/Skills
• Knowledge in Insurance business is a plus
• Excellent analytical thinking, problem-solving, and documentation skills.
• Familiarity with containerization and CI/CD pipelines
• Strong communication skills to effectively work with both technical and non-technical stakeholders.
• Ability to manage multiple priorities in a fast-paced environment.
• Attention to detail, commitment to quality, and a proactive attitude towards continuous improvement.

 is Ireland's trusted property maintenance specialist, offering comprehensive solutions with years of expertise across the construction and renovation sectors. We transform spaces through our diverse range of services, from handyman solutions and office fit-outs to complete renovations, house extensions, and specialized installations, including doors, floors, and partitions.

Our commitment to delivering the best value property maintenance has established us as a reliable partner for residential and commercial clients nationwide. With decades of experience, including 50 years of expertise in garage conversions, we pride ourselves on impeccable craftsmanship, turning our clients' visions into reality while ensuring their properties remain in top condition.

Role Overview

We are seeking an innovative and experienced 
AI Engineer/AI Architect

to join our dynamic team. This cutting-edge role focuses on developing and implementing artificial intelligence solutions to transform our property maintenance and construction services. The successful candidate will be responsible for designing AI systems, developing intelligent automation solutions, and creating AI-driven tools that enhance our operational efficiency and client experience across our diverse service offerings.

Key Responsibilities

AI System Development & Architecture

• AI Solution Design:
   Architect and develop comprehensive AI systems tailored to property maintenance and construction industry needs
• Machine Learning Implementation:
   Build and deploy machine learning models for predictive maintenance, cost estimation, and project optimization
• AI Agent Development:
   Create intelligent AI agents and chatbots for customer service and internal process automation
• System Integration:
   Integrate AI solutions with existing business systems and workflows

Machine Learning & Deep Learning

• Model Development:
   Design and implement advanced machine learning and deep learning models for business applications
• Natural Language Processing:
   Develop NLP solutions for document processing, client communication, and knowledge management
• Autonomous Systems:
   Create autonomous decision-making systems for project scheduling, resource allocation, and quality control
• Performance Optimization:
   Continuously optimize AI models for accuracy, efficiency, and scalability

Data Engineering & Pipeline Management

• Data Pipeline Development:
   Build robust data pipelines to support AI model training and deployment
• Cloud Integration:
   Implement and manage cloud-based AI services across AWS, Azure, and GCP platforms
• API Development:
   Develop and maintain APIs for AI service integration and data exchange
• Database Management:
   Work with various databases and data storage solutions to support AI operations

Technical Implementation & Deployment

• Framework Utilization:
   Leverage advanced AI frameworks including TensorFlow, PyTorch, and scikit-learn
• Python Development:
   Write efficient, scalable Python code for AI applications and system integrations
• Algorithm Implementation:
   Apply strong mathematical and algorithmic knowledge to solve complex business problems
• Testing & Validation:
   Implement comprehensive testing and validation procedures for AI systems

Required Skills & Experience

Essential Qualifications

• AI Engineering Experience:
   Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect
• ML/DL Expertise:
   Strong background in machine learning, deep learning, and natural language processing (NLP)
• Framework Proficiency:
   Hands-on expertise with TensorFlow, PyTorch, scikit-learn, and other AI frameworks
• AI Agent Development:
   Experience in developing AI agents, chatbots, or autonomous decision-making systems

Technical Requirements

• Programming Skills:
   Advanced proficiency in Python programming with a focus on AI and machine learning applications
• Cloud Platforms:
   Experience with cloud-based AI services on AWS, Azure, or GCP
• API Development:
   Strong knowledge of API development, data pipelines, and system integrations
• Mathematical Foundation:
   Strong mathematical and algorithmic background for AI model development

What We Offer

• Competitive salary package
• Opportunity to pioneer AI implementation in Ireland's property maintenance industry
• Professional development and training opportunities in cutting-edge AI technologies
• Collaborative and innovative remote work environment
• Career growth potential within an expanding, technology-forward company

What are we looking for?

We're always looking for the next generation of SOLVERS who want to make a difference.
We're

not

looking for someone who just wants to "tune a model and chill." We're looking for a curious builder who thrives on turning complex data and business challenges into smart, scalable, AI-powered solutions. At NxtGen AI, AI is not just a buzzword — it's how we build tomorrow.

Job Responsibilities

1. Design and implement AI/ML models
2. Build and fine-tune large language models (LLMs) for intelligent document parsing, summarization, and insight generation.
3. Translate business needs into scalable AI solutions that automate workflows and improve decision-making.
4. Develop and maintain robust MLOps pipelines to ensure efficient model training, deployment, and monitoring.
5. Collaborate closely with data scientists, engineers, and product managers to bring AI features from concept to production.
6. Continuously research and apply state-of-the-art AI technologies, especially in NLP and generative AI.
7. Ensure ethical, explainable, and responsible AI usage — because just because we
   can
   doesn't always mean we
   should
   .
8. Contribute to internal AI playbooks, reusable components, and best practices that level up the entire team.

Requirements

• 3–7 years of experience in AI/ML roles, with a strong portfolio of real-world model deployments.
• Fluency in Python and familiarity with ML libraries like TensorFlow, PyTorch, Hugging Face, or LangChain.
• Proven experience fine-tuning and operationalizing large language models (GPT, BERT, etc.).
• Solid understanding of NLP, vector search, embeddings, and knowledge graphs.
• Comfort working with cloud platforms like GCP, Azure, or AWS — extra points if you speak fluent "Vertex AI."
• Experience building scalable MLOps pipelines (CI/CD for ML, model monitoring, etc.).
• Passion for clean code, good documentation, and occasional dad jokes in comments.

Ready to Take Your Career Global? Join Amihan Solutions

Are you looking for a dynamic, international, and people-focused work environment where your career can truly thrive? If that resonates with you, then Amihan Solutions could be your perfect fit

We're a fast-growing company collaborating with top-tier European clients to build high-performing, long-term teams right here in the Philippines.

Our client is a leading Data-as-a-Service (DaaS) company specializing in reputational risks and responsible business conduct. Its mission is to provide transparency on business conduct risks to drive positive change. By combining advanced AI with human expertise, the client delivers solutions that help clients act with confidence and speed. Guided by values of intellectual honesty, humility, operational excellence, and respect, its diverse global team pioneers data-driven insights that enable better decision-making. Headquartered in Zurich with offices worldwide, it sets the standard for business conduct data and promotes meaningful change through transparency.

As our new AI Engineer, you will play a crucial role in developing state-of-the-art agentic systems and AI integrations within the client's Agentic delivery team. You will contribute to the design, implementation and operation of agentic and AI products within the company.

Responsibilities

• Designing and building agentic AI features that leverage memory, planning, and tool-use to solve real-world business problems.
• Developing, integrating, and maintaining LLM-powered microservices and pipelines as part of broader production applications.
• Fine-tuning foundation models and training custom models for perception, reasoning, and decision-making tasks.
• Identifying, testing, and implementing state-of-the-art advancements in LLMs and autonomous agent architectures (e.g., tool-use, reflection, multi-agent coordination).
• Ensuring robust performance through continuous evaluation, optimization, and A/B testing of AI components.
• Maintaining a well-balanced tech stack that prioritizes both simplicity and efficiency.
• Collaborating closely with product managers, designers, and domain experts to align technical solutions with user needs and business goals.
• Mentoring and guiding team members, fostering a collaborative engineering culture.
• Participating in technical design reviews and code reviews to uphold high engineering standards.
• Contributing actively to a cross-functional Scrum team, sharing insights and driving innovation from concept to deployment.

Qualifications

• A Master's degree or higher in Computer Science, Engineering, Statistics, or a related STEM field (or equivalent practical experience).
• 4+ years of hands-on experience as a Machine Learning Engineer, AI Engineer, or similar role in an industry setting.
• Proven experience in building or integrating agentic AI systems, such as autonomous agents, workflow automation, or reasoning-driven LLM applications.
• Expert-level Python skills and fluency with key ML/AI libraries (e.g., HuggingFace, LangChain, etc.).
• Hands-on experience fine-tuning, deploying, and monitoring LLMs in production environments.
• Practical experience building and managing scalable, data-driven microservices and pipelines.
• Strong grounding in software engineering best practices and clean, maintainable code.
• Familiarity with cloud platforms (AWS or Azure), CI/CD workflows, and containerized environments.
• A proactive mindset with the initiative to drive ideas from concept to production independently and as a team leader.
• Effective mentorship skills and the ability to provide thoughtful, constructive feedback.
• A structured, analytical approach to problem-solving, with a focus on delivering practical and maintainable solutions.
• Excellent communication and collaboration skills, with professional fluency in English.

Benefits

• Be part of an epic team that prioritizes your personal and professional growth
• HMO insurance coverage starts from the 1st working day.
• Vacation and sick leave credits (pro-rated) start from the 1st working day.
• Company-issued laptop included to ensure smooth and efficient work experience
• Earn rewards with our Employee Referral Program
• Enjoy flexible working time that align with the client's core hours
• Flexible work location, several office locations across Metro Manila and work-from-home (WFH)
• Access to free training, certification programs, and fun community/social activities
• Collaborate in an international, multicultural working environment

Ready to Apply?

Send your CV to or apply directly via the form provided. We're excited to meet you and hopefully welcome you to the Amihan Solutions team very soon

Job Type: Full-time

Benefits:

• Company Christmas gift
• Company events
• Health insurance

Work Location: In person

Key Responsibilities

• Design, develop, and implement AI/ML models to solve complex business and technical problems.
• Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into products and workflows.
• Build and maintain scalable data pipelines to collect, preprocess, and analyze large datasets.
• Research, experiment, and apply state-of-the-art AI techniques (e.g., NLP, computer vision, deep learning, reinforcement learning).
• Optimize models for performance, scalability, and real-time inference.
• Monitor and evaluate model performance, ensuring accuracy, fairness, and explainability.
• Develop APIs, services, and tools to make AI models accessible to business applications.
• Stay updated with the latest AI trends, technologies, and best practices.
• Document AI workflows, architectures, and deployment processes for team knowledge-sharing.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
• Strong programming skills in Python, Java, or C++.
• Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.
• Proficiency in data preprocessing, feature engineering, and working with structured/unstructured data.
• Knowledge of NLP, computer vision, recommendation systems, or generative AI.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Experience in deploying and maintaining ML models in production.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

Work Location : Santa Rosa City, Laguna (Hybrid)

The ideal candidate will have a strong background in machine learning, deep learning, and data science. You will be responsible for designing, developing, and implementing AI models and algorithms to solve complex problems and enhance our products and services.

Must-Have Qualifications

• 3+ years hands-on experience with Power Apps and Power Automate
• Proven track record developing with Microsoft Copilot Studio or Azure-based AI tools
• Solid understanding of Microsoft 365 ecosystem and its extensibility
• Familiarity with Azure AI Services and REST-based integrations
• Ability to work independently and proactively, with minimal supervision
• Strong problem-solving, documentation, and communication skills

Nice-to-Have Skills

• Microsoft certifications (e.g., Power Platform Architect, Azure AI Engineer)

Job Type: Full-time

Pay: Php80, Php100,000.00 per month

Application Question(s):

• Familiar with Azure AI Services

Experience:

• PowerApps: 3 years (Required)
• Power Automate: 3 years (Required)
• Microsoft Copilot Studio: 3 years (Preferred)

Work Location: In person

AI Engineer

(Full-Time | Remote)

We're looking for a hands-on AI Engineer to build next-gen tools that power digital marketing, automate agency workflows, and scale operations. If you thrive on turning MVPs into production-ready products, this is for you

What You'll Do:

• Build AI tools for CRM, content creation, and marketing automation
• Integrate systems (GoHighLevel, CRMs, PM tools)
• Engineer prompts + optimize LLM outputs (OpenAI, Claude, Gemini)
• Create pipelines and APIs to feed data into AI models
• Prototype fast, test early, and launch
• Collaborate with sales, tech, and marketing teams
• Document code and provide technical handoff

You Should Have:

• 2–4+ years AI/ML or full-stack dev experience
• Strong Python skills + OpenAI, LangChain, Pinecone
• Knowledge of LLMs, vector DBs, or prompt tuning
• Bonus: React, browser scripting, automation

You're a Fit If You're:

• Startup-minded: fast, focused, resourceful
• A clear communicator with non-tech teams
• Excited to ship tools that make a difference

Apply here:

More info:

Let's build smarter, faster, better.