Details:

Job Title: AI / LLM Engineer

We are seeking an AI / LLM Engineer to join our data-driven product teams and lead the design, development, and operation of AI-powered applications. This combined role merges responsibilities of LLM engineering, no-/low-code AI application development, and end-to-end enablement of Large Language Model workflows for business and medical functions. Working in cross-functional teams, you will deliver scalable, compliant, and high-impact AI capabilities supporting customer insights, medical review processes, and commercial excellence.

Working in a dynamic cross-functional team, this pivotal role is designed to bolster the launch of our innovative pharmaceutical products across our therapeutic areas. Your main objective will be to support sophisticated Advanced Analytics and AI solutions, focusing on rapid development, configuration, deployment and maximizing business value to significantly enhance the customer experience within medical and commercial business functions.

Duties & Responsibilities

Lead LLM-related activities including prompt engineering, compliance-rule prompts, fine-tuning, API/model versioning, and ontology updates.
Design, configure, and deploy AI applications using no-/low-code platforms, integrating LLMs into business processes.
Design, develop, and integrate AI-driven front‑end and back‑end components, transforming business requirements into scalable, production‑ready AI solutions.
Collaborate with Commercial, Medical, and Analytics stakeholders to gather requirements and align AI capabilities with business goals.
Implement observability systems, monitoring, logging, and performance tracking for AI components. Ensure data privacy, security, and compliance, validating all AI solutions against business workflows.
Chain multiple LLMs and tools to build multi-agent workflows and automation pipelines working together with other IT engineers.
Ensure interoperability with business applications through clean data interfaces, vector databases, and knowledge graphs.
Document architectures, workflows, and best practices, promoting AI education across stakeholder groups.

Details:

Requirements

Bachelor"s or Master"s degree in Computer Science, AI/ML, Computational Linguistics, or related fields.
Hands-on experience building AI applications, including backend model pipelines (e.g., Python, APIs, cloud services) and AI‑enabled front‑end interfaces (e.g., web frameworks, low‑code tools).
Experience with LLMs, RAG pipelines, no-/low-code AI platforms, and AI application development.
Knowledge of transformer architectures, embeddings, fine‑tuning methods (LoRA, QLoRA), and prompt engineering.
Hands-on experience with MLOps/LLMOps, CI/CD, observability systems, and scalable cloud environments.
Ability to communicate technical concepts clearly to non‑technical stakeholders and work in cross‑functional teams.
Strong analytical and problem‑solving skills, with a user‑centric mindset.
Advanced proficiency in English (spoken and written).
Knowledge of Japanese (spoken and written) will be a plus.

#LI-GA1, #LI-HYBRID

AI LLM Engineer (Alabang)

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