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Principal AI Engineer

159 600 - 207 500$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal AI Engineer (AI/ML and LLMs): Designing, training, orchestrating, and operationalizing enterprise AI systems with an accent on fine-tuning, retrieval, agentic architectures, and production reliability. Focus on building MCP servers, RAG and data pipelines, evaluation frameworks, governance controls, and scalable multi-step AI workflows.

Location: Remote USA

Salary: $159,600–$207,500 base salary per year

Company

hirify.global builds enterprise technology solutions and AI capabilities for customer-focused business operations.

What you will do

  • Define technical strategy and standards for traditional AI/ML models, large language models, retrieval, orchestration, and agentic AI.
  • Design, train, fine-tune, evaluate, and optimize production AI/ML and language models using QLoRA, LoRA, PEFT, quantization, and full fine-tuning where appropriate.
  • Build orchestration and abstraction layers connecting models with enterprise tools, data, APIs, and specialized sub-agents.
  • Design and operate MCP servers, tool and function-calling standards, RAG systems, vector search, re-ranking, and context assembly.
  • Build reproducible data and AI/ML pipelines covering ingestion, labeling, experiment tracking, dataset management, model versioning, evaluation, observability, and tracing.
  • Partner with product and platform teams to move models and AI capabilities into production, while mentoring engineers and raising engineering maturity.

Requirements

  • Must be based in the USA for this remote role.
  • Bachelor’s degree in Computer Science, Engineering, or a related discipline; an advanced degree in ML, AI, or Data Science is preferred.
  • 12 or more years of experience in AI/ML engineering, applied ML, or data engineering, including substantial hands-on model training and fine-tuning.
  • Production experience with AI/ML and LLM deployment, parameter-efficient fine-tuning, model evaluation, and optimization.
  • Deep experience with LLM orchestration, agentic AI, MCP servers, tool/function calling, RAG architectures, embeddings, vector databases, hybrid search, and re-ranking.
  • Proficiency with PyTorch, Hugging Face Transformers/PEFT/TRL, scikit-learn, and scalable data or AI platforms using technologies such as Spark, Ray, or dbt.

Nice to have

  • Advanced degree in machine learning, artificial intelligence, or data science.
  • Experience with LangGraph, LlamaIndex, Semantic Kernel, or equivalent frameworks.

Culture & Benefits

  • Values emphasize teamwork, customer focus, integrity, speed, agility, bold innovation, and transparent communication.
  • Full-time employment with a US base salary range of $159,600–$207,500.
  • Potential eligibility for the Vertex Bonus Plan, role-specific commission or bonus, and equity grants.
  • Career growth and progression opportunities.

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