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1 день назад

Solutions Architect (AI)

Формат работы
remote (только Europe/Russia)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Serbia/Armenia/Georgia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Solutions Architect (AI): Designing and building cloud-native data, LLM-based, and agentic AI solutions with an accent on RAG systems and production-grade AI integrations. Focus on leading the technical direction of client engagements, optimizing AI infrastructure, and implementing MLOps/LLMOps practices.

Location: Remote (Preference for candidates in Tbilisi, Yerevan, Belgrade, Novi Sad, or Vojvodina)

Company

AI consultancy specializing in delivering cutting-edge data and cloud solutions to address complex business challenges.

What you will do

  • Design and build cloud-native AI solutions and agentic workflows for real-world business cases.
  • Implement and optimize RAG systems for production environments.
  • Act as a trusted technical advisor for clients, leading discovery calls and presales activities.
  • Develop production-grade Python backend services and RESTful APIs.
  • Build ETL/ELT workflows and implement MLOps, LLMOps, and AgentOps practices.
  • Mentor engineers, lead code reviews, and define technical architecture standards.

Requirements

  • 7+ years of experience building and running production systems.
  • Hands-on experience with production LLM applications, agentic workflows, and RAG systems.
  • Proficiency in Python (OOP, design patterns) and frameworks like FastAPI, Django REST, or Flask.
  • Strong experience with AWS (Bedrock, Lambda, ECS, S3) or GCP.
  • Knowledge of Docker, Kubernetes, and CI/CD for AI/ML pipelines.
  • English: B2+ level required.

Nice to have

  • AWS and Claude Code certifications.
  • Experience with Go, Node.js, or Rust.
  • Hands-on experience with Apache Spark, Apache Airflow, or Kafka.
  • CI/CD pipeline experience using GitHub Actions or GitLab CI.

Culture & Benefits

  • Long-term B2B collaboration with flexible working hours.
  • Support for AWS and other professional certifications and internal training.
  • Access to the latest AI tools and premium subscriptions.
  • Private medical insurance or a dedicated medical budget.
  • Paid vacation, sick leave, and public holidays.
  • Provision of all necessary equipment for productive work.

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