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9 дней назад

Lead AI Engineer

180 000 - 280 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead AI Engineer (LLM/RAG): Building and deploying enterprise-grade AI/ML systems, including agentic AI, retrieval-augmented generation, function calling, and reinforcement learning solutions with an accent on model fine-tuning, semantic retrieval, and production optimization. Focus on designing scalable enterprise workflows, integrating AI with complex business systems, and leading technical delivery and mentorship.

Location: Quincy, Massachusetts, United States

Compensation: $180,000–$280,000 per year, plus eligibility for a bonus.

Company

hirify.global delivers customized communications and technology solutions to businesses and government agencies across the United States and Canada.

What you will do

  • Design, build, and deploy enterprise-grade AI/ML systems for operational automation.
  • Develop agentic AI solutions for interpreting trouble tickets, troubleshooting, portal interactions, and data entry.
  • Build RAG and ColBERTv2 pipelines for enterprise document parsing, indexing, semantic retrieval, and classification.
  • Implement LLM function-calling and reinforcement learning solutions for enterprise decision-making and workflows.
  • Optimize models through fine-tuning, distillation, quantization, preprocessing, and post-processing.
  • Lead project delivery, collaborate with product and engineering stakeholders, and mentor team members.

Requirements

  • Bachelor’s degree in computer science, data science, machine learning, AI, or a related field; an advanced degree is preferred.
  • At least 5 years of experience developing and deploying production-grade AI/ML systems.
  • Strong Python skills and experience with PyTorch, TensorFlow, Hugging Face, and LangChain.
  • Hands-on expertise in LLM fine-tuning, LoRA, PEFT, distillation, model optimization, RAG, embeddings, and vector stores.
  • Experience building agentic AI systems, NLP and Transformer solutions, semantic search, document retrieval, and reinforcement learning models.
  • Ability to meet the role’s onsite requirement in Quincy, Massachusetts, United States.

Nice to have

  • Master’s or Ph.D. in computer science, machine learning, artificial intelligence, or a related field.
  • Experience with AWS SageMaker, Azure ML, Google Vertex AI, Docker, Kubernetes, and CI/CD.
  • Knowledge of Triton Inference Server, TensorRT, ONNX, model monitoring, and observability.
  • Experience in regulated environments with strict compliance and data governance requirements.

Culture & Benefits

  • Health, dental, vision, life, and disability insurance.
  • 401(k) retirement plan with company match.
  • Childcare benefits and tuition assistance.
  • Onsite employee gyms at no cost.
  • Opportunity to work with cross-functional teams in a large telecommunications and technology organization.

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