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 strong 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.

Nice to haves

- Experience building high-performance endpoints using FastAPI .
- Hands-on scripting experience with LangChain or LangGraph .
- Practical experience writing Rego policies for Wiz Custom Configuration Rules or Regula.

Perks and Benefits

- Work from home & Local connection: Work where you feel most productive and connect with your team in periodic meet-ups to strengthen your network and connect with other top experts.
- Legal presence in India: We ensure full local compliance with a structured, secure work environment tailored to Indian regulations.
- Competitive Compensation in INR: Fair compensation in INR with dedicated budgets for your personal growth, education, and wellness.
- Innovative Projects: Leverage the latest tech and create cutting-edge solutions for world-recognized clients and the hottest startups.

📌 Senior AI Engineer (India)
🏢 AgileEngine
📍 India