Job Title : Lead AI Application Engineering & DevSecOps Consultant

Location: Bangalore, Pune, Gurgaon

Experience: 7–10 Years

Notice Period: Immediate to 15 Days

We're looking for an experienced Lead AI Application Engineering & DevSecOps Consultant to transform AI prototypes into scalable, production-ready applications while driving engineering excellence, security, and governance.

Key Responsibilities

- Assess AI applications and codebases for production readiness across architecture, security, testing, and deployment.
- Harden AI applications using secure authentication, authorization, secrets management, and secure AI integration practices.
- Refactor prototypes into scalable, maintainable, and enterprise-ready solutions.
- Design and implement CI/CD pipelines using GitHub Actions and Azure DevOps.
- Define secure Azure deployment patterns using App Services, Functions, Container Apps, API Management, Key Vault, and Managed Identities.
- Implement Secure SDLC, threat modeling, vulnerability management, and security best practices.
- Establish testing strategies including unit, integration, regression, end-to-end, and AI-specific testing.
- Drive AI assurance practices including prompt testing, response validation, adversarial testing, and model evaluation.




- Mentor developers and promote engineering standards, governance, and best practices across teams.

Required Skills

- 7–10 years of experience in Full-Stack Engineering, DevSecOps, or Application Engineering.
- Solid expertise in React.js, TypeScript, JavaScript, Node.js, and Python.
- Hands-on experience building enterprise web applications, APIs, and microservices.
- Strong experience with Azure Cloud:
- Azure App Service
- Azure Functions
- Azure Container Apps
- API Management
- Azure Key Vault
- Managed Identity
- Azure Monitor
- Expertise with GitHub Enterprise, GitHub Actions, Azure DevOps, and CI/CD automation.
- Strong understanding of API security, authentication, authorization, observability, and production support.
- Experience with Secure SDLC, threat modeling, vulnerability management, and security engineering.

Preferred Skills

- Experience with AI, GenAI, LLM, RAG, or Agentic AI applications.
- Knowledge of LangChain, Semantic Kernel, FastAPI, Flask, Streamlit, and Azure AI Services.
- Understanding of AI security concepts such as prompt injection, hallucination mitigation, AI testing, and model evaluation.
- Experience in financial services, risk management, or other regulated industries.

📌 AI Application & Devsecops Engineer (Bangalore Metropolitan Area)
🏢 RapidBrains
📍 Bangalore Metropolitan Area