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.globals 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.
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