TL;DR

Principal Machine Learning Engineer (AI): Designing and building novel approaches for knowledge-grounded LLMs, embeddings, and multimodal modeling with an accent on fine-tuning, post-training, and retrieval-augmented strategies to adapt foundation models to %hirify_global%’s data. Focus on driving POC experimentation, from agentic workflows to novel GenAI-powered assistants, and transitioning prototypes into scalable systems.

Location: Remote (United States)

Salary: $232,200 - $303,150 (Zone A)

Company

%hirify_global%'s software products help teams all over the planet and their solutions are designed for all types of work.

What you will do

Design and build novel approaches for knowledge-grounded LLMs, embeddings, and multimodal modeling.
Drive POC experimentation, from agentic workflows to novel GenAI-powered assistants.
Act as the technical anchor of a small tiger team, mentoring engineers and scientists.
Influence design and implementation across retrievers, rankers, orchestration, and serving infrastructure.
Partner with product and platform teams to transition prototypes into scalable systems.
Contribute to the roadmap for the Forge as a global hub for advanced GenAI modeling and applied research.

Requirements

Extensive experience in ML/AI engineering (generally 6+ years), with deep expertise in LLMs, NLP, or search.
Proven track record of building and shipping ML-powered or GenAI-integrated products.
Hands-on experience with retrieval-augmented generation (RAG), embeddings, hybrid retrieval, or agentic workflows.
Strong background in scaling ML systems from prototype to production.
Expert-level knowledge of GenAI ecosystems (OpenAI, Anthropic, Mistral, OSS) and fine-tuning/serving frameworks.
Deep technical skills across modeling, infrastructure, and orchestration (LangChain, LlamaIndex, vector DBs).

Nice to have

Experience with multimodal models, knowledge graphs, or semantic embeddings.
Familiarity with evaluation metrics for search/GenAI (NDCG, groundedness, human preference modeling).
Contributions to open-source ML frameworks or GenAI research communities.
Passion for mentoring, fostering innovation, and shaping a new AI hub in Singapore.

Culture & Benefits

%hirify_global%s can choose where they work – whether in an office, from home, or a combination of the two.
%hirify_global% offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community.
Offerings include health and wellbeing resources, paid volunteer days, and so much more.