- Candidates should have a B.E./B.Tech/MCA/MBA in Information Systems, Computer Science or a related field
- Solid hands-on expertise in React, TypeScript, JavaScript, Node.js, Python, and modern web application frameworks.
- Proven experience building, deploying, and supporting enterprise web applications, APIs, and microservices.
- Deep knowledge of Azure cloud services including App Service, Functions, Container Apps, API Management, Key Vault, Managed Identity, and Azure Monitor.
- Strong DevOps and CI/CD experience using GitHub Enterprise, GitHub Actions, Azure DevOps, and automated deployment pipelines.
- Expertise in application architecture, software engineering best practices, and production support models.
- Strong understanding of API design, service-to-service authentication,



authorization, and API governance.
- Hands-on experience with secure application development, threat modeling, secure SDLC, vulnerability management, and security engineering practices.
- Experience implementing logging, monitoring, observability, incident management, and operational controls.

Preferred Competencies
- Experience building and operationalizing AI, GenAI, LLM, RAG, and agent-based applications.
- Knowledge of AI application risks including prompt injection, hallucination management, model evaluation, and AI testing methodologies.

📌 Immediate Hiring AI Application Engineer (Bengaluru)
🏢 Acuity Analytics
📍 Bengaluru