Agentic AI Engineer
Kurzfassung
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.
Von KI erstellte Kurzfassung des Anzeigentextes.
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!
| Veröffentlicht | 2026-10-07 |
| Läuft ab | 2026-12-31 |
| Quelle |
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