98 Ibm jobs in Manila

About the Opportunity:

The
Artificial Intelligence Engineer
will join the pioneering team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).

Duties and Responsibilities:

• Design, implement, and deploy machine learning algorithms.
• Manage the machine learning algorithm lifecycle.
• Coordinate data collection and annotation efforts.
• Work with real-time data and content coming from various data sources.
• Manage machine learning data pipelines.
• Design tests for machine learning algorithm effectiveness and performance monitoring.
• Design tools and interfaces for interactive machine learning and teaching.
• Research and development on cutting-edge machine learning technologies.

Qualifications and Skills:

• Graduate degree in Computer Science with a strong background in machine learning required.
• Strong problem-solving abilities, solid background in algorithms and data structures required.
• Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
• Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
• Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
• Experience with building and deploying API's with Docker and Kubernetes required.
• Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
• Experience with Elastic Search, Lucene a plus but not required.
• Experience with ranking algorithms a plus but not required.
• Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.

Are you an AI/ML enthusiast eager to build and innovate at the intersection of software engineering, machine learning, and agentic AI tooling? We're looking for talented individuals to contribute across the technology stack – from front-end user interfaces to back-end services, ML pipelines, and the integration of autonomous agents using state-of-the-art AI frameworks.

Our Business Automation Professionals company is part of a dynamic group with head offices in NSW, Australia, and a thriving team in Pasig, Manila, Philippines. To supercharge our efficiency and productivity, we're rapidly expanding our Artificial Intelligence division. We already have team members in both Australia and the Philippines, and we're excited to open up 10 new positions for Min-Senior Level Artificial Intelligence Engineers to join our journey

This is a full-time role, based in our Pasig office, working Australian business hours.

We need versatile and driven individuals focused on building agentic AI systems – AI agents that can plan, reason, act autonomously, and deliver immense value across various domains. Whether your strength lies in the front-end, back-end, or full stack, we want to hear from you

• Design, develop, and maintain scalable applications that incorporate AI/ML and agentic systems.
• Build and deploy machine learning models and pipelines into cloud-based, production-ready environments.
• Develop APIs, backend systems, and/or front-end interfaces that enable seamless interaction with autonomous agents and AI systems.
• Integrate AI agents (LLMs, tool-using agents, planning agents) using frameworks like LangChain, CrewAI, or custom-built agentic architectures.
• Collaborate closely with product managers and UX designers to deliver seamless AI-driven applications.
• Implement robust data handling, storage, and visualization layers to support agentic workflows.
• Contribute to code reviews, architecture discussions, and knowledge sharing across the engineering team.
• Continuously monitor, evaluate, and improve system performance and user experience.

• Bachelor's Degree or higher in computer science, software engineering, information technology, data science, or similar fields.
• Minimum of 1 years of professional experience in front-end, back-end, or full stack software development.
• Strong experience with Python (FastAPI, Django, Flask, etc.) for back-end roles, and/or proficiency in frontend frameworks (React, , Vue, etc.) for front-end roles.
• Solid understanding of machine learning concepts and experience integrating ML models into applications.
• Familiarity with agentic AI frameworks (LangChain, AutoGPT, CrewAI) or demonstrated interest in agentic system design.
• Experience working with RESTful APIs, microservices, and cloud platforms (AWS, GCP, Azure).
• Knowledge of data structures, algorithms, and scalable system design.

We believe in rewarding our talent. Here's what we offer:

• Work-Life Balance: Enjoy Australian business hours, giving you your evenings back.
• Competitive Salary: Earn PHP 55,000 - PHP 100,000 per month, depending on your experience and expertise.
• Joining Bonus: PHP 30,000 after completing 1 year of service (T&Cs Apply).
• Loyalty Bonus: PHP 60,000 after 4 years of service (T&Cs Apply).
• Performance Bonuses: Earn additional bonuses based on your contributions.
• Comprehensive Benefits: Quality HMO for you and your family.
• Paid Leave: Celebrate your special day with a paid Birthday Leave (T&Cs Apply).
• Career Growth: Extensive training and potential opportunities for advanced training in Sydney, Australia, for team leaders.
• Referral Program: Earn extra by referring top talent to our growing team.

Imagine a world where banking is not just a transaction but a transformative experience. Welcome to
Axos Business Center
We're on a mission to redefine the financial landscape with innovation, creativity, and customer-centric solutions at the core of everything we do.
#Banking Evolved.

Ready to dive into a new chapter in your career journey and make your mark this year? We need visionary minds like yours Join our team and become part of a dynamic force that's reshaping how people interact with their finances.

Your next big opportunity is just a click away

We are seeking a motivated
AI Engineer
to join our newly formed AI Center of Excellence. This role is pivotal in driving the adoption and implementation of artificial intelligence across Axos. The ideal candidate will translate complex business needs into scalable, production-grade AI powered solutions.

Key Responsibilities:

• Collaborate with business stakeholders to understand their challenges and translate requirements into technical specifications for AI-driven solutions.
• Build and test prototypes rapidly to validate new ideas and demonstrate feasibility to stakeholders.
• Deliver scalable, secure, and production-grade AI applications on cloud platforms.
• Writing clean, scalable, and documented code.
• Work independently to manage projects from initial review to final delivery, ensuring alignment with CoE standards.
• Stay current with the latest advancements in AI/ML and advocate for the adoption of new technologies and techniques.

Required Qualifications:

• 3+ years of experience in software engineering with strong proficiency in languages like Python.
• Familiarity with RESTful APIs, JSON, and system integration patterns.
• Knowledge of modern authorization mechanisms, such as JWTs
• Familiarity with git or Azure DevOps for version control
• Experience with Large Language Models (LLMs) and generative AI applications.
• The ability to translate business requirements into technical solutions

Preferred Qualifications:

• Experience in the financial services or banking industry.
• Experience with cloud-native AI services (e.g., Azure AI Foundry or Google Vertex AI)
• Experience with AI/LLM-powered applications, developer tools, or observability platforms (e.g. Langchain framework)
• A "get stuff done" attitude—comfortable shipping fast and iterating based on user feedback
• Strong communication skills with the ability to explain complex technical concepts to non-technical audiences.

Company Description

Since 1998, Redmen Fire Protection Management has been a leading provider of comprehensive fire protection services in NSW, serving Sydney, Newcastle, Central Coast, and neighboring regions. We specialize in large-scale fire prevention, detection, and extinguishing systems, as well as the supply of portable fire equipment. Our services include support for fire safety products, council certification, compliance, equipment training, and Annual Fire Safety Statements (AFSS) for businesses. Redmen is committed to safety and cost-effective solutions, with certified engineers offering on-site maintenance and services through our fully-equipped mobile fleet.

Role Description

This is a full-time on-site role located in Pasig for an Artificial Intelligence Engineer. The AI Engineer will be responsible for developing, implementing, and maintaining AI and machine learning models to enhance fire protection solutions. Key tasks include data analysis, algorithm development, model training, and performance optimization. The role may also involve collaborating with cross-functional teams to integrate AI solutions into existing systems and ensure compliance with safety standards.

Qualifications

• Proficiency in machine learning, deep learning, and data analysis
• Experience in developing and implementing AI algorithms and models
• Strong programming skills in languages such as Python, R, or Java
• Knowledge of AI frameworks and tools like TensorFlow, PyTorch, or Keras
• Excellent problem-solving and analytical skills
• Ability to work independently and on-site in Pasig
• Relevant experience in the fire protection or safety industry is a plus
• Bachelor's or Master's degree in Computer Science, Engineering, or related field

We are looking for a Mid-Level AI Engineer to develop and deploy advanced AI solutions leveraging AI Agentic systems, Large Language Models (LLMs), deep neural networks, NLP, and Human-in-the-Loop (HITL) methodologies.

The role involves building AI agents with reasoning and autonomy, fine-tuning LLMs for enterprise use, designing deep learning architectures, and integrating NLP capabilities for real-world applications. You will also ensure human oversight is incorporated at key stages of the AI lifecycle to improve accuracy, safety, and ethical decision-making.

Key Responsibilities

• Design, develop, deploy and integrate complex AI Agents on enterprise level platforms.

• Develop AI agents with autonomous reasoning and decision-making abilities using frameworks like LangChain, Google ADK, LangGraph.

• Implement Human-in-the-Loop (HITL) systems where human feedback improves model performance, accuracy, and reliability.

• Develop voice agents using products like VAPI

• Fine-tune and deploy Large Language Models (LLMs) (e.g., AbacusAI, OPENAI, Gemini, Claude, Deepseek) for specific enterprise or product needs.

• Build and optimize deep neural networks for classification, recommendation, and predictive analytics tasks.

• Develop AI pipelines for data preprocessing, model training, and deployment using MLOps practices.

• Ensure AI solutions are scalable, ethical, and explainable through human-in-the-loop feedback and model monitoring.

• Collaborate with cross-functional teams to integrate AI into applications via APIs or microservices.

• Contribute to code reviews, architecture discussions, and knowledge sharing across the AI engineering team.

• Stay updated on cutting-edge research in AI agents, reinforcement learning, etc.

• Deploy and manage AI workloads on cloud platforms such as:

• Azure: Azure Machine Learning, Cognitive Services, AKS, Azure AI Foundry

• GCP: Vertex AI, Cloud Functions

Required Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, or related field.

• 1–3 years of experience in AI/ML engineering, cloud deployment.

• Strong backend experience with Python (FastAPI, Django, Flask, etc.) and proficiency in frontend frameworks (React, , Vue, etc.).

• Solid understanding of machine learning concepts and integration of ML models into applications.

• Familiarity with agentic AI frameworks (LangChain, LangGraph, Google ADK) or demonstrated interest in agentic system design.

• Experience working as a Prompt Engineering

• Experience working with RESTful APIs, microservices, and cloud platforms (Google Vertex AI and Google Cloud).

• Knowledge of data structures, algorithms, and scalable system design.

• Passion for AI, autonomous agents, and building innovative products.

Bonus Skills (Not Required but Great to Have)

• Exposure to agentic AI tools (LangChain, Google ADK, VAPI, Vertex AI, etc.).

• Experience working with vector databases (Pinecone, Weaviate, FAISS).

• Understanding of prompt engineering or LLM orchestration.

• Workflow Orchestration: Tools like LangGraph, Google Cloud Run, or OpenAI Function Calling for complex AI workflows.

What We Offer

• Competitive salary and benefits based on experience level.

• Opportunities to work across multiple industries.

• Access to cutting-edge AI and Microsoft Cloud technologies.

• Professional development & Microsoft certifications.

• Leadership and career growth opportunities.

Ready to take the next step in your AI journey? Join us and help build the future of intelligent agents.

Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.

Summary: As an Application Support Engineer, you will engage in a variety of tasks that involve identifying and resolving issues within critical business systems. Your typical day will include collaborating with team members, analyzing system performance, and providing solutions to enhance operational efficiency. You will also interact with various stakeholders to ensure that the systems function smoothly and meet business requirements. 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 sessions to enhance team capabilities. - Monitor system performance and proactively address potential issues. - Document processes and solutions to create a knowledge base for future reference. Professional & Technical Skills: - Required Skill: Expert proficiency in IBM Cognos Reporting. - Strong analytical skills to interpret complex data sets. - Experience in troubleshooting and resolving software issues. - Familiarity with database management and SQL. - Ability to work collaboratively in a team-oriented environment. Additional Information: - The candidate should have minimum 3 years of experience in IBM Cognos Reporting. - This position is based at our Manila office. Minimum 3 year(s) of experience is required

Professional & Technical Skills:

- Required Skill: Expert proficiency in IBM WebSphere MQ.

- Strong understanding of application development processes.

- Experience in leading and managing development teams.

- Knowledge of software architecture and design principles.

- Proficiency in troubleshooting and problem-solving.

Additional Information:

- The candidate should have minimum 5 years of experience in IBM WebSphere MQ.

- This position is based at our Manila office.

Additional Must have skills

IBM WebSphere MQ

Good to have skills: IBM MQ Mainframe, TSO

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.
• Lead the application development process.
• Coordinate with stakeholders to gather requirements.
• Ensure timely delivery of projects.

Qualifications

• Expert proficiency in IBM WebSphere MQ.
• Strong understanding of application development processes.
• Experience in leading and managing development teams.
• Knowledge of software architecture and design principles.
• Proficiency in troubleshooting and problem-solving.

Summary: As an Application Lead, you will oversee the design, construction, and configuration of applications, serving as the main contact person. Your typical day will involve leading the team, making critical decisions, and collaborating with various teams to ensure project success.

• 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.
• Lead the application development process.
• Coordinate with stakeholders to gather requirements.
• Ensure timely delivery of projects.
• Expert proficiency in IBM WebSphere MQ.
• Strong understanding of application development processes.
• Experience in leading and managing development teams.
• Knowledge of software architecture and design principles.
• Proficiency in troubleshooting and problem-solving.

Job Types: Full-time, Permanent

Pay: Php60, Php130,000.00 per month

Benefits:

• Flexible schedule
• Flextime
• Work from home

Work Location: In person