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Brillio · Greater Bengaluru Area

Artificial Intelligence Consultant

seniorfull timePosted yesterday
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Stack mentioned

llmagentic-aiawsgcpangularpythongraphqlsqldynamodbcopilottypescriptpostgresqlmysqlartificial-intelligencesystem-designrest-apiprompt-engineeringunit-testing

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: Utilize 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.

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Artificial Intelligence Consultant at Brillio (Greater Bengaluru Area) | AI Jobs Map