About the Role
We are seeking an Senior AI Engineer who combines deep technical mastery with curiosity and creativity in leveraging AI tools to design, build, and refine next-generation solutions.
This role is ideal for someone with deep hands-on experience in generative AI, large language models (LLMs), and Retrieval-Augmented Generation (RAG), who thrives in fast-paced environments and is passionate about solving real-world problems through AI.
Responsibilities
- Leverage AI tools and frameworks not only for automation but as creative partnersexperimenting with prompts, refining outputs, and integrating generative models into the development workflow.
- Demonstrate critical evaluation of AI-generated results, ensuring quality, maintainability, and reliability.
- Lead the design, development, and deployment of generative AI systems, including LLM-based agents and RAG pipelines.
- Collaborate with cross-functional teams (PMs, data scientists, backend engineers) to define product scenarios and optimize AI workflows.
- Architect scalable AI solutions using modern cloud platforms (Azure) and MLOps tools (MLFlow, Kubeflow, CI/CD).
- Implement and optimize vector databases (e.g., FAISS, Pinecone, Qdrant) and retrieval systems for enterprise knowledge integration.
- Drive prompt engineering, model fine-tuning, and performance evaluation strategies.
- Contribute to the team's technical roadmap, mentor junior engineers, and promote best practices in AI development.
Qualifications
- Master's degree or higher in an AI-related field.
- Proven experience with generative AI, LLMs (OpenAI), and RAG architectures.
- Strong programming skills in Python and familiarity with frameworks like LangChain, LangGraph, FastAPI.
- Experience with cloud-native AI development (Azure AI Studio, Cognitive Search, AKS, Azure ML).
- Solid understanding of backend systems, microservices, and distributed computing.
- Familiarity with MLOps practices and tools for scalable deployment and monitoring.
- Excellent communication skills and a proactive mindset to contribute ideas beyond assigned tasks.
Preferred
- Preferred Experience in building production-grade AI agents for enterprise use cases. Background in NLP, transformers, and model orchestration.
- Prior contributions to open-source AI projects or publications.
Project Background
TheSpeech Projectwas launched in2003, establishing a strong and trustworthy partnership with the client. The project primarily focuses oncloud-based platforms and big data computing, involving: thetraining and iterative optimizationofacoustic and language modelsfor speech recognition,the development ofautomated tools and systemsrelated to speech recognition model building,andexperimental researchon cutting-edge technologies in speech recognition.
Project Highlights
Leverage top-tier AI service platformsto gain exposure to cutting-edge AI technologies and application ecosystems worldwide
Collaborate with global teams and engineers from multiple countries, enhancing international perspective and cross-cultural communication skills
Outstanding performerswill have access tofast-track career development opportunities.
Address: Felina Corporate Plaza, 5 Eastwood Ave, Quezon City, 1110 Metro Manila,
Working Mode: On-Site(Philippines), Remote(Malaysia)
