Senior Software Developer

Company Description

InfoPro Business Solutions (IBS), a subsidiary of one of the largest conglomerates in the Philippines, was established by Lopez, Inc. & First Philippine Holdings in 2011. IBS is an IT/BPO company offering high-quality, efficient, and cost-effective business solutions. Our services include IT and systems implementation and support, finance and accounting services, and HR services. IBS fosters a culture where talented and committed professionals thrive and excel, providing ideal career opportunities in a growing organization.

Role Description

The Senior Software Developer will play a key role in designing, developing, and experimenting with cutting-edge AI/ML and cloud technologies in support of research and development (R&D) initiatives. The role focuses on exploring and building innovative prototypes, applications, and solutions leveraging Google Cloud tools such as Vertex AI, Gemini, Generative AI APIs, and other advanced AI/ML services. This individual will work closely with cross-functional teams in a fast-paced, innovation-driven environment.

Job Specifications:

Solution Research and Prototyping

• Collaborate with R&D leads to evaluate and prototype solutions using Google Cloud AI/ML services, including Gemini, Vertex AI, and PaLM.
• Conduct rapid prototyping and technical feasibility assessments for use cases in generative AI, NLP, computer vision, and MLOps.
• Stay up to date with Google's AI advancements, identifying opportunities to incorporate new capabilities into experimental projects.
• Software Design and Development
• Design and build cloud-native applications and services, with a focus on scalability, performance, and modularity.
• Develop clean, well-documented, and testable code using modern programming languages and frameworks.
• Implement APIs and data pipelines that interface with AI models and services.

AI/ML Model Integration

• Integrate pre-trained AI models and fine-tuned models into applications using Vertex AI, Gemini APIs, and custom endpoints.
• Collaborate with data scientists on model deployment, monitoring, and performance optimization.

Experimentation and Evaluation

• Conduct experiments, run tests, and analyze results to evaluate solution performance, quality, and user experience.
• Use MLOps practices for versioning, testing, and deployment of AI models in production-like environments.

Collaboration and Innovation

• Collaborate with product managers, designers, and fellow developers to align prototypes with user needs and business goals.
• Contribute to architectural decisions and share technical insights and trends relevant to ongoing R&D efforts.
• Present findings, demos, and POCs to internal stakeholders and innovation sponsors.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology/Systems or any related field; Master's degree is a plus
• Proven experience in AI/ML solution development, including usage of Vertex AI, GenAI APIs, or similar platforms.
• Hands-on experience with cloud platforms (GCP preferred, AWS/Azure a plus).
• Strong experience with Python, JavaScript/TypeScript, or Go.
• Deep understanding of RESTful APIs, microservices, and containerization (Docker, Kubernetes).
• Knowledge of MLOps workflows, model lifecycle management, and automated pipelines.
• Familiarity with generative AI models, embeddings, LLM integration, and prompt engineering concepts.

Preferred:

• Google Cloud certifications (e.g., Professional Machine Learning Engineer, Associate Cloud Engineer).
• Experience using Gemini 1.5 Pro, Generative AI Studio, LangChain, PromptFlow, or similar frameworks.
• Publications, hackathon wins, or contributions to open-source AI/ML projects.
• Background in working with multimodal AI, vision-language models, or RAG (Retrieval-Augmented Generation) architectures.