Agentic AI Engineer

Required skills: Cloud, AI, RAG, OpenAI, Anthropic, Langchain, Langgraph, Terraform, AWS, Azure ID87375 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!