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3 дня назад

Senior Software Engineer (Applied AI)

245 000 - 320 000PLN
Формат работы
remote (только Poland)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Software Engineer (Applied AI) (LLMs/RAG): Building scalable production AI agents and LLM-powered software products for customer analytics, recommendations, decision-making, and workflow automation with an accent on prompt engineering, retrieval workflows, privacy, guardrails, and monitoring. Focus on designing agentic systems, integrating APIs and MCP, protecting non-deterministic solutions, and shipping production-grade features on cloud and data platforms.

Location: Remote Poland

Base salary: 245,000–320,000 PLN annually; performance-based bonus and equity options may also be available.

Company

hirify.global provides a real-time Customer Data Platform that unifies customer data for personalized, privacy-conscious experiences and enterprise AI strategies.

What you will do

  • Design, build, and own AI agents and LLM-powered software products from architecture through production.
  • Lead the technical design of agentic systems and workflows using LLMs and machine learning models.
  • Integrate agents with hirify.global data and configuration systems and with internal and external systems through APIs and MCP.
  • Implement prompt-injection defenses, PII controls, output validation, security and compliance measures, and human-in-the-loop gates.
  • Partner with Product Managers and Engineers to identify customer opportunities for AI technologies.
  • Drive AI expertise, review designs, and establish standards for building LLM systems and using AI development tools.

Requirements

  • 5+ years of software development experience with Python and Java.
  • Proven experience shipping LLM-powered features to production at scale.
  • Strong knowledge of modern software engineering principles, patterns, and best practices.
  • Hands-on experience with RAG workflows, including chunking, embeddings, and retrieval from relational and vector databases.
  • Experience deploying software on AWS, GCP, or Azure.
  • Strong communication skills and the ability to explain complex technical concepts clearly.
  • Desire to learn new technologies, products, and business areas.
  • Domain expertise in martech, marketing analytics, or customer data platforms.
  • Understanding of traditional statistical machine learning models and libraries.
  • Experience building data, analytics, or machine learning pipelines on Spark, Databricks, or similar platforms.
  • Familiarity with Docker, Kubernetes, and Terraform.

Culture & Benefits

  • Remote-first working with new-hire stipends for a home office.
  • Paid time off, extended paid parental leave, and company holidays.
  • Health, wellness, and related benefits programs.
  • 15 hours of paid annual work time for volunteering activities and programs.
  • Professional development through more than 6,000 on-demand courses and manager and leadership programs.
  • New-hire equity grants and performance-based compensation opportunities.

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