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AI Engineer

AgileEngine
format:Remotecompany:Outsource
cloudragvector databases
langchainlanggraphterraformawsazuregoogle cloudpagerdutyatlassianservicenow
test task:yes
englishB2
experience4+ years
locationLviv, Ukraine
> full description

Hi there! 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 ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
● A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
● Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office — whatever makes you the happiest and most productive.


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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