All Jobs/Brillio
Brillio
Engineering💼 FullTime

AI Builders at Brillio

Brillio
•2 months ago
Location

Bangalore, Karnataka, India

Salary

₹12-20 LPA

Apply By

ASAP

Views

64

Eligible Batches

🎓 Fresher Batch🎓 2024 Batch🎓 2025 Batch🎓 2026 Batch

Job Description

Join Brillio as an AI-Native Engineer to drive AI-led transformation and work on designing, building, and scaling production-grade AI solutions.

Roles & Responsibilities

Design production-grade AI solutions Build AI solutions Scale AI solutions

Nice to Have

Experience in working with Fortune 1000 companies Knowledge of cutting-edge digital and design thinking skills Familiarity with AI-first technology companies Experience in working with private equity-backed companies Strong network in the AI and technology industry

Eligibility Criteria

B.E./B.Tech 2024/2025/2026 Batch or equivalent

Tech Stack & Ecosystem

AIMachine Learning

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Quick Actions

Quick Info

TypeFullTime
RoleAI Builders
Work Mode🏢 On-site
Eligible Batches
Fresher202420252026

Tech Stack

AIMachine Learning

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Career Advice

Company Insights

As an AI-Native Engineer at Brillio, you'll be part of a team that combines technical expertise with business acumen to drive AI-led transformation. This role offers a unique blend of technical challenges and business responsibilities, allowing you to grow professionally and make a significant impact. With Brillio, you'll have the opportunity to work with executive teams and clients to deploy AI into core business systems, unlocking new revenue streams and driving business growth. This is an ideal role for individuals who are passionate about AI and want to be at the forefront of its adoption.

Interview Guide

When preparing for an interview as an AI-Native Engineer at Brillio, focus on showcasing your ability to design, build, and scale production-grade AI solutions. Be prepared to discuss your experience with AI frameworks and tools, as well as your problem-solving skills and ability to collaborate with cross-functional teams. The interviewer will pay close attention to your technical skills, but also assess your ability to communicate complex technical concepts to non-technical stakeholders. To stand out, prepare examples of AI projects you've worked on in the past and be ready to walk the interviewer through your thought process and design decisions. Additionally, be prepared to discuss how you stay up-to-date with the latest developments in AI and machine learning, and how you apply these learnings to your work.