
AgileEngine · Kraków, Warszawa, Poznań, Lublin, Szczecin
Agentic AI Engineer
W skrócie
zdania wybrane z oferty- 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.
- We are looking for an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation.
- ● 4+ years of software engineering experience developing applications and services hosted on public cloud infrastructure;
Technologie
Pełny opis
z justjoin.itID87375
AgileEngine 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 like
application 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 role
We 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 teammates
If it’s a match—you’ll get an offer!
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Historia oferty
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