About the Role
We are looking for a Senior AI Engineer to build cloud security AI accelerators, writing Python code, developing REST APIs, and implementing GenAI workflows that automate cloud infrastructure baselines, drift detection, and AI asset discovery across a large-scale financial services environment. You will build AI agents for inventory data quality validation, write Rego policies for CI/CD pipeline inspection, generate compliant Terraform modules, and integrate LLM APIs including OpenAI and Anthropic into production automation systems. The role requires 5+ years of software engineering experience with solid Python fundamentals and hands-on LLM API integration.

What you will do
Build and implement AI agents to automate inventory data quality validation, reconciliation, and ownership attribution to reduce manual security operations efforts.
Write and validate Rego policies and Regula test cases that inspect Terraform passing through CI/CD pipelines.
Generate compliant Terraform modules based on AI-accelerated configuration requirements for new cloud resources (e.g., AWS S3).




Develop robust REST APIs and scripts that routinely perform drift detection, deploy live test resources, and verify expected outputs from cloud service endpoints.

Must haves
5+ years of hands-on software engineering experience.
Strong Python development fundamentals (clean, maintainable code, OOP/functional patterns, testing).
Proven REST API development experience.
Hands-on experience integrating LLM APIs (e.g., OpenAI, Anthropic) into Python applications, with a baseline understanding of developer-centric AI concepts like RAG and vector embeddings. No ML model training or data science background is required.
Practical experience deploying applications to Cloud environments (AWS preferred) and writing Infrastructure as Code (Terraform).
Ability to operate with minimal supervision on day-to-day execution, reliably completing complex automation tasks.
Upper-intermediate English level

📌 Senior AI Engineer (India)
🏢 AgileEngine
📍 India