# Lead AI Engineer I - R01571162 at Brillio

Lead AI Engineer I - R01571162 at Brillio in Bangalore, Karnataka, India. Hybrid. Posted September 10, 2026.

- Company: Brillio
- Location: Bangalore, Karnataka, India
- Workplace: Hybrid
- Experience: 4+ years
- Posted: 2026-09-10
- Apply: https://jobs.lever.co/brillio-2/df0baced-8074-4381-b73e-ee029c321739/apply
- Source: https://jobmagic.ai/jobs/lead-ai-engineer-i-r01571162-brillio-awcwry

## Requirements

- 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
- 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)

## Description

**Lead AI Engineer I**

### Job requirements

**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)