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AgileEngine

Agentic AI Engineer

Lublin
Kraków
Poznań
Szczecin
+1
18 днів тому

Коротко

Agentic AI Engineer role focusing on generative AI for cloud automation. Requires 4+ years of public cloud engineering, 2+ years IaC/pipelines, 2+ years agentic models (RAG, vector DBs). Offers competitive USD pay, professional growth, and flexible work.

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ID87375AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas likeapplication development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

Why join us: If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)

About the roleWe are looking for an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation.

The mandatory requirements are 4+ years of software engineering experience on public cloud infrastructure, 2+ years with cloud deployment pipelines and Infrastructure as Code, 2+ years developing agentic models using RAG and vector databases, and the ability to partner with globally distributed engineering teams.

Must haves

  • 4+ years of software engineering experience developing applications and services hosted on public cloud infrastructure;
  • 2+ years of experience with cloud infrastructure deployment pipelines and infrastructure as code (IaC);
  • 2+ years of experience developing Agentic models (e.g., OpenAI, Anthropic) using Retrieval-Augmented Generation (RAG) and Vector databases;
  • Proven capability to partner with globally distributed inter-disciplinary engineering teams;
  • Upper-intermediate English level; Nice to haves
  • Hands-on experience with modern AI orchestration frameworks (LangChain, LangGraph);
  • Hands-on experience writing Rego policies (Open Policy Agent) or Regula test cases;
  • Hands-on experience with Terraform;
  • Familiarity with cloud-native security services in Amazon Web Services, Azure, and Google Cloud Platform;
  • Familiarity with PagerDuty, Atlassian Suite, and Service Now; What you will do
  • AI Acceleration: implement generative AI workflows utilizing RAG, vector databases, and LLM APIs to automate the creation of cloud configuration baselines;
  • Cloud Security Automation: develop AI-enabled drift detection, continuous discovery, and gap analysis capabilities to accelerate response and remediation activities;
  • Policy & Infrastructure as Code (IaC): generate and validate compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines; Perks and benefits
  • Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps;
  • Competitive compensation: We match your skills and contributions with USD-based compensation and budgets for education, fitness, and team activities;
  • A selection of exciting projects: Work with Fortune 500 enterprises and leading product brands using modern solutions;
  • Flextime: Flexible schedule with remote and office options for work-life balance; Meet Our Recruitment Process
  • Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:
  • Short online form to confirm basic requirements
  • 30–60 minute skills assessment
  • 5-minute introduction video
  • Synchronous stage – Live interviews
  • Technical interview with our engineering team (scheduled at your convenience)
  • Final interview with your future teammatesIf it’s a match—you’ll get an offer!
Опубліковано 2026-10-07
Діє до 2026-12-31
Джерело