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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия предлагает практическую работу с востребованными GenAI-системами, облачными платформами и внедрением в production, а задачи и возможности обучения описаны понятно. Зарплата не указана, поэтому уровень оплаты сложно оценить; при этом компания делает акцент на работе из офиса.
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Зарплата не указанаСовременный стекПонятные задачиФокус на AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Engineer (Generative AI): Designing, building, and deploying production-grade AI and Generative AI solutions in the cloud for global enterprise clients with an accent on LLM integration, RAG pipelines, vector search, and Agentic AI workflows. Focus on fine-tuning models, deploying secure and reliable production systems, and optimizing performance, cost, and reliability across cloud environments.
Location: Sofia, Bulgaria; the Data & AI team also operates in Varna. The work model prioritizes in-person collaboration.
Company
hirify.global is a Fortune 500 global IT services company delivering technology solutions across industries and geographies.
What you will do
Design and implement cloud-native AI and Generative AI solutions using Azure OpenAI Service and AWS AI services such as SageMaker and Bedrock.
Fine-tune and integrate LLMs, including Claude and GPT-based models, into enterprise applications.
Build RAG pipelines, vector search, and knowledge-based AI systems using structured and unstructured data.
Implement Agentic AI workflows with tool usage, orchestration, and multi-step reasoning.
Deploy, monitor, and optimize AI models for production performance, cost, and reliability.
Integrate AI services with applications, APIs, and data platforms while collaborating with architects, data engineers, and product teams.
Requirements
Proficiency in Python and experience integrating AI services through APIs.
Experience with Azure and AWS cloud-based AI services.
Practical experience with LLMs, embeddings, prompt engineering, and model evaluation.
Experience building RAG systems, vector databases, and semantic search solutions.
Familiarity with Agentic AI frameworks such as LangChain, Semantic Kernel, or AutoGen.
Experience deploying AI solutions in cloud environments, including CI/CD, security, and monitoring, plus knowledge of ML fundamentals, NLP, and AI system design.
Culture & Benefits
24 days of paid vacation, medical and life insurance, and monthly food vouchers.
Premium learning platforms, company-sponsored certifications, and continuous professional development.
Employee recognition and referral programs.
Employee discounts and 24/7 wellbeing support for employees and their families.
Inclusive environment with in-person collaboration and flexibility supporting productivity and individual work styles.
Hiring process
Submit a CV in English.
Only shortlisted candidates will be contacted.
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