Software Developer for NLP Solutions - Product Localization (AI)
Контакты
90 000 - 162 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
javapythoncloudc++llmragci cdnlpvector databasesagentic ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
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$90к-162к/год
$130к$160кмедиана$200к
По похожим ролям (50) ~ $160к/год
На СНГ рынке: $3к/мес ($2к - $4.2к)
85
Отличная вакансия
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Хорошо проработанная вакансия в крупной промышленной софтверной компании, сфокусированная на внедрении современных AI и RAG решений в стабильной корпоративной среде.
Современный AI стек
Четкие обязанности
Глобальная корпорация
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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