Lead AI Engineer I - R01571162

Brillio 2; Bengaluru; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Brillio is seeking a Lead AI Engineer I in Bengaluru to design, build and deploy end-to-end intelligent apps across full-stack environments. You will drive cloud-native AI solutions, multi-agent workflows, and scalable microservice architectures while collaborating with cross-functional teams.

The role requires 4–6 years in ML engineering, strong Python/JS skills, and hands-on experience with LangChain, RAG, and cloud platforms. Hybrid work in Bangalore is offered with competitive compensation.

Qualifications

• 4–6 years of ML engineering experience required.
• Hands-on with cloud-native architectures and agentic AI frameworks.
• Experience building full-stack, scalable AI applications.
• Strong knowledge of Python/JS and modern frontend/backend stacks.

Responsibilities

• Design and build end-to-end full-stack intelligent applications, integrating frontend, backend, and APIs using modern frameworks.
• Develop and deploy cloud-native solutions leveraging platforms such as Azure, AWS, and GCP.
• Build and implement agentic AI applications, including multi-agent systems and autonomous workflows.
• Develop scalable backend systems using microservices and event-driven architectures, optimizing for performance, security, and scalability.
• Work with LLM-based frameworks and agent orchestration tools to create intelligent, adaptive workflows.
• Ensure best practices in code quality, testing, debugging, observability, and performance optimization.
• Collaborate with cross-functional teams to translate business requirements into robust technical solutions and participate in architectural decisions.

Skills

Python

JavaScript/TypeScript

React/Angular/Vue

Node.js

Java Spring Boot

FastAPI/Django

Cloud platforms

Docker

Kubernetes

LangChain

LlamaIndex

Semantic Kernel

AutoGen

CrewAI

RAG

Prompt engineering

CI/CD

RESTful APIs

Education

Bachelor's degree in CS/AI/DS

Tools

Azure

AWS

GCP

Kafka

Pub/Sub

FAISS

Pinecone

Job description

Lead AI Engineer I

Experience Range:

With at least 4 to 6 years of experience in ML engineering, including hands-on work with cloud-native architectures, agentic AI frameworks, and scalable full-stack systems

Key Responsibilities:

• Design and build end-to-end full-stack intelligent applications, integrating frontend, backend, and APIs using modern frameworks
• Develop and deploy cloud-native solutions leveraging platforms such as Azure, AWS, and GCP
• Build and implement agentic AI applications, including multi-agent systems and autonomous workflows
• Develop scalable backend systems using microservices and event-driven architectures, optimizing for performance, security, and scalability
• Work with LLM-based frameworks and agent orchestration tools to create intelligent, adaptive workflows
• Ensure best practices in code quality, testing, debugging, observability, and performance optimization
• Collaborate with cross-functional teams to translate business requirements into robust technical solutions and participate in architectural decisions

Required Skills:

• Advanced proficiency in Python and JavaScript/TypeScript
• Experience with frontend frameworks such as React, Angular, or Vue
• Backend expertise with Node.js, Java Spring Boot, or Python (FastAPI, Django)
• Hands-on experience with cloud platforms (Azure, AWS, GCP)
• Proficiency in containers (Docker) and basic understanding of Kubernetes
• RESTful API and microservices design
• Experience with agentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI
• Understanding of prompt engineering and Retrieval-Augmented Generation (RAG)
• Familiarity with CI/CD pipelines

Preferred Skills:

• Experience with autonomous systems or multi-agent architectures
• Knowledge of conversational AI or AI-driven automation workflows
• Familiarity with vector databases (FAISS, Pinecone, etc.)
• Expertise in event streaming systems like Kafka or Pub/Sub
• Contributions to open-source projects or hackathons in AI/ML or full stack domains

Desired Qualifications:

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related discipline
• Certification in cloud platforms (e.g., AWS Certified Machine Learning Specialty, Azure AI Engineer Associate, Google Professional Machine Learning Engineer)
• Relevant certification in agentic AI frameworks or full-stack development (e.g., TensorFlow Developer Certificate, React Professional Certification)

Additional Information:

Location: Bangalore (Hybrid)