Senior ML Solutions Architect (Token Factory)

TL;DR

Senior ML Solutions Architect (Token Factory): Design and implement customized LLM-based solutions using serverless inference platform for open-source LLMs across multiple modalities with an accent on prompt engineering, RAG architectures, model selection, and inference optimization. Focus on building production-ready applications, scaling from POC to production, and collaborating with product and engineering teams to shape the platform roadmap.

Location: Remote from Singapore

Company

hirify.global leads a new era in cloud computing for the global AI economy, headquartered in Amsterdam with R&D hubs across Europe, North America, and Israel, and over 1400 employees including 400+ skilled engineers.

What you will do

• Design and implement LLM-based solutions using hirify.global Token Factory’s inference services to drive business value.
• Build production-ready applications leveraging serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models.
• Provide expertise in prompt engineering, RAG architectures, model selection, and inference optimization.
• Collaborate with product and engineering teams to incorporate customer feedback and influence platform roadmap.
• Guide customers in scaling from POC to production, emphasizing performance, reliability, and cost efficiency.

Requirements

• 5+ years in ML/AI systems, with 2+ years on LLMs and generative AI
• Deep knowledge of LLM ecosystem, model architectures, and fine-tuning.
• Hands-on with prompt engineering, LLM pipeline development and evaluation, agentic frameworks (Langchain, Langsmith, smolagents), vector databases, RAG patterns.
• Experience deploying LLM applications via APIs from OpenAI, Anthropic, or open-source models.
• Strong Python programming skills.
• Excellent communication skills to explain technical concepts

Nice to have

• Experience with inference frameworks (vLLM, SGLang, TensorRT-LLM, Transformers).
• Inference optimization techniques (quantization, batching, caching, routing).
• Work with multimodal AI models (vision-language, speech).
• Proficiency with DevOps tools (Docker, Kubernetes).
• Contributions to open-source ML/AI projects.

Culture & Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth.
• Flexible working arrangements.
• Dynamic, collaborative environment valuing initiative and innovation.