Artificial Intelligence Consultant

Brillio; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Brillio is seeking an AI-Augmented Full-Stack Developer to join our team in Bengaluru. You will lead design and review of cloud-native web apps, guiding AI agents to scaffold, write, and iterate code while you focus on system design, security, and validation across AWS and GCP.

The role stresses architecture, code quality, and robust testing, with hands-on use of Angular, TypeScript, Python, GraphQL, and DynamoDB, ensuring safe, scalable solutions and minimal AI hallucinations.

Qualifications

• : 4–8 years of professional software development experience.
• Hands-on experience with Angular, TypeScript, Python, GraphQL, RESTful APIs.
• Experience with AWS and GCP multi-cloud deployments.
• Familiarity with DynamoDB and relational SQL (PostgreSQL/MySQL).
• Strong focus on security and code review of AI-generated code.

Responsibilities

• Audit & Validate Code: review AI-generated code for security and performance.
• Build Robust API & Data Layers: design GraphQL schemas, REST APIs, databases.
• Context & Prompt Engineering: feed repository context and infra requirements to AI tools.
• Maintain High Test Coverage: implement unit/integration/e2e tests to catch AI hallucinations.

Skills

Angular

TypeScript

Python

GraphQL

REST APIs

DynamoDB

PostgreSQL

MySQL

AWS

GCP

Code review

AI tooling

Tools

GitHub Copilot

AntiGravity

Kiro

Job description

We are seeking an AI-Augmented Full-Stack Developer to join our team. In this role, you will leverage autonomous AI coding agents and LLM tools to dramatically accelerate the delivery of cloud-native web applications. Instead of writing boilerplate code manually, you will act as a systems architect and code reviewer—directing AI agents to scaffold, write, and iterate on code, while you focus on high-level system design, security, and rigorous validation across our AWS and GCP environments.

Experience:- 4 to 8 Years.

Direct AI Coding Agents: Utilise autonomous AI tools to generate, refactor, and scaffold full-stack features across our Angular frontends and Python backends.

• Audit & Validate Code: Critically review AI-generated code for security vulnerabilities, cloud performance bottlenecks, and architectural alignment.
• Build Robust API & Data Layers: Guide AI tools to accurately build and maintain GraphQL schemas, RESTful APIs, relational SQL databases, and DynamoDB tables.
• Context & Prompt Engineering: Feed complex repository context, database schemas, and AWS/GCP infrastructure requirements into AI tools to maximize code accuracy.
• Maintain High Test Coverage: Implement rigorous unit, integration, and end-to-end testing frameworks to catch and eliminate AI code hallucinations.

Technical Stack & Tool Requirements

• AI Tooling (Mandatory): Deep familiarity with advanced AI pair-programmers and autonomous coding agents (e.g., GitHub Copilot, AntiGravity, Kiro).
• Frontend: Angular and TypeScript.
• Backend & APIs: Python, GraphQL, and RESTful API design.
• Databases: Amazon DynamoDB and relational SQL (e.g., PostgreSQL, MySQL).
• Cloud Infrastructure: Multi-cloud experience deploying and monitoring systems within AWS and GCP.

Ideal Mindset

• The "Architect-Reviewer": You treat AI as a highly productive junior developer, spending your energy designing isolated, modular components and thoroughly debugging generated logic.
• Security-First: You understand the unique risks of AI-generated code and proactively check for SQL injection, broken object-level authorization, and cloud misconfigurations.