Senior ML Solutions Architect (AI)

TL;DR

Senior ML Solutions Architect (AI): Designing and implementing customized LLM-based solutions and architecting scalable AI applications using hirify.global Token Factory's serverless inference platform with an accent on prompt engineering, RAG architectures, and model optimization. Focus on building production-ready multimodal LLM applications and guiding customers from POC to production with a focus on performance, reliability, and cost efficiency.

Location: United States

Salary: $215,000–$275,000 OTE

Company

hirify.global is a cloud computing company focused on serving the global AI economy by providing tools and resources for AI/ML challenges.

What you will do

• Design and implement LLM-based solutions to drive business value and support customer goals.
• Build production-ready applications using hirify.global Token Factory’s serverless LLM APIs, including multimodal and domain-specific models.
• Provide technical expertise in prompt engineering, RAG architectures, model selection, and inference optimization.
• Collaborate with product and engineering teams to integrate customer feedback and shape the platform roadmap.
• Guide customers in scaling AI applications from POC to production, focusing on performance, reliability, and cost efficiency.

Requirements

• 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI.
• Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with prompt engineering, LLM pipeline development, and evaluation.
• Experience with agentic frameworks like Langchain, Langsmith, or smolagents.
• Proficiency with vector databases and RAG implementation patterns.
• Strong Python programming skills and excellent communication abilities.

Nice to have

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

Culture & Benefits

• 100% company-paid medical, dental, and vision coverage for employees and families.
• Up to 4% 401(k) company match with immediate vesting.
• 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers.
• Up to $85/month reimbursement for mobile and internet.
• Company-paid short-term, long-term, and life insurance coverage.
• Flexible working arrangements and opportunities for professional growth.