AI/ML Engineer

Role overview Turn LLM prototypes into dependable product features that work with real users and data. The role spans agent workflows, retrieval systems, evaluation, and production integration, with a focus on understanding and improving quality, latency, and cost.

Responsibilities - Design and ship LLM features, including agents, retrieval-augmented generation pipelines, and structured data extraction. - Build evaluation harnesses and regression suites to track model behavior. - Measure cost, latency, and output quality, then tune models and prompts based on results. - Partner with product engineers to integrate AI capabilities safely into client platforms.

Requirements - At least four years of experience in machine learning or AI-focused backend engineering. - Production experience with LLM APIs, embeddings, and vector search. - Strong engineering skills in Python or TypeScript. - A rigorous approach to evaluation and systems design under uncertainty. - Awareness of data privacy and safety, with the ability to document model behavior and limitations.

Nice to have - Experience with fine-tuning, evaluation frameworks, or MLOps.

Benefits and work setup - Remote or hybrid work based in Manila, with flexible hours. - Compensation described as top of market, plus a budget for AI tools and hardware. - Quarterly team offsites and direct access to clients and decision makers.