Senior Ai Engineer: Autonomous Agents

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.

MANDATORY REQUIREMENTS

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.

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 : Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation : USD-based pay with education, fitness, and team activity budgets.
• Exciting projects : Modern solutions with Fortune 500 and top product companies.
• Flextime : Flexible schedule with remote and office options.

LangChain.

LangGraph.

AWS.

ML / AI Engineer Senior Remoto Argentina, ID #00232

• Toolkits RAG: LangChain Retrievers, LlamaIndex integrations. Entorno Cloud & Serverless GenAI

Cloud AI Engineer, Google Cloud (English) Share Cloud AI Engineer, Google Cloud (English)

_corporate_fare_ Google _place_ Mexico City, CDMX, Mexico; Buenos Aires, Argentina

Early

Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.

Share Cloud AI Engineer, Google Cloud (English)

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In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

Preferred qualifications:

• Experience with recommendation engines, data pipelines, distributed machine learning, and deep learning frameworks.
• Experience in data analytics, data visualization techniques, and core Data Science methodologies.
• Experience in software development, professional services, or technical consulting for new technology initiatives.
• Knowledge of data warehousing (ETL/ELT), technical architec