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6 дней назад

Software Developer for NLP Solutions - Product Localization (AI)

90 000 - 162 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
Software Developer for NLP Solutions - Product Localization (AI): Building AI applications, RAG systems, localization agents, chatbots, web apps, and language-processing workflows with an accent on multilingual NLP, retrieval quality, and data-driven localization. Focus on designing production-grade RAG pipelines, optimizing vector search and embeddings, developing prompt-engineering solutions, and integrating AI capabilities into enterprise software.

Location: Livonia, Michigan, United States; hybrid work between home and the office

Salary: $90,000–$162,000 annually, plus a target incentive of 3–5% of base salary.

Company

hirify.global Digital Industries Software provides industrial software for the design, simulation, manufacture, and product lifecycle management of products across multiple industries.

What you will do

  • Develop, evaluate, deploy, and document AI capabilities, applications, agents, and custom RAG data-retrieval systems.
  • Build chatbots, virtual assistants, question-answering systems, web applications, text-summarization algorithms, and advanced search solutions.
  • Design custom data pipelines and workflows supporting machine translation, translation-quality prediction, terminology management, glossary creation, consistency checks, and language processing.
  • Collaborate with software engineers, product managers, localization specialists, and localization teams to integrate AI solutions into products and automate translation processes.
  • Research NLP and machine-learning advances, propose solutions to language-processing challenges, and participate in agile Scrum ceremonies.
  • Evaluate AI models, agents, data effectiveness, and user feedback; optimize performance and document and present methodologies and results.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Computational Linguistics, Artificial Intelligence, or a related field.
  • At least 3 years of professional experience developing applications and solutions, including applications hosted on or connected to cloud platforms such as Azure or AWS.
  • Experience developing multilingual projects and handling language-specific challenges; experience implementing custom AI and RAG systems.
  • Experience building and optimizing vector databases, implementing and fine-tuning embedding models, creating custom chunking strategies, and developing document-preprocessing pipelines.
  • Experience developing context-aware prompt-engineering solutions and production-grade RAG systems integrated with enterprise infrastructure.
  • Experience optimizing retrieval performance and relevance scoring, creating custom RAG evaluation metrics, and managing prompt context windows.
  • Knowledge of NLP, NLU, and NLG techniques; experience with API development and microservices architecture.
  • Understanding of enterprise security requirements for AI systems, familiarity with MLOps practices and deployment pipelines, and experience with CI/CD pipelines.
  • Proficiency in C++, Java, Python, or similar programming languages; familiarity with AWS, Azure, Google Cloud, and related AI services; experience with generative AI, LLMs, agentic AI, and vector databases.
  • Strong problem-solving, attention-to-detail, communication, and cross-functional collaboration skills, including the ability to explain complex technical concepts to non-technical stakeholders.

Nice to have

  • Master’s degree in a relevant field.
  • Background in software localization or familiarity with localization processes.
  • Relevant machine-learning or NLP certifications.

Culture & Benefits

  • Flexibility to work from home and the office at different times.
  • Benefits and rewards provided by a global industrial software company.
  • Work in an organization with more than 377,000 employees across over 200 countries.
  • Commitment to equality, diversity, and employment decisions based on qualifications, merit, and business need.

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