NLP Engineer

Hatch ITSomerville, MA

About The Position

This role bridges the gap between linguistic theory and practical AI applications. The NLP Engineer will be responsible for designing, developing, and deploying robust and scalable natural language processing (NLP) in their agentic AI systems. This involves not only recognizing NLP tasks and defining clear evaluation guidelines but also selecting the best technologies to solve complex problems and integrating them seamlessly into larger software applications.

Requirements

  • Bachelor’s degree in Computer Science, Linguistics, or a related field.
  • 2-4 years of professional experience in NLP, AI software development, or a related role.
  • Advanced proficiency in Python and relevant AI libraries/frameworks for working with language (e.g. Langchain, Pydantic AI, Hugging Face Transformers, PyTorch/TensorFlow).
  • Strong understanding of software architecture, data structures, and design patterns.
  • Data sciences experiences, preferably for linguistics: data annotation, guideline design, and data quality evaluation.
  • Proven ability to integrate ML models into production environments.
  • Experience with cloud services (AWS, Azure, or Google Cloud).
  • Excellent communication skills, with the ability to explain complex linguistic and technical concepts to diverse audiences.

Responsibilities

  • Design, develop, and deploy robust and scalable natural language processing (NLP) in agentic AI systems.
  • Recognize NLP tasks and define clear evaluation guidelines.
  • Select the best technologies to solve complex problems and integrate them seamlessly into larger software applications.
  • Write high-quality, maintainable code.
  • Enhance and optimize models.
  • Collaborate with product managers and stakeholders to translate project requirements into technical solutions.
  • Implement theoretical ideas from linguistics as practical, innovative text analytics and AI-driven features.
  • Enhance relationships with senior partners by adapting communication styles and often advising on complex matters, requiring persuasion with those unfamiliar with the subject.
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