Analyst - R01571042

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

Job summary

Brillio 2 seeks an Analyst with 2–4 years of full-stack data science experience to design and deploy AI-enabled applications. You will work on cloud-native architectures, microservices, and multi-agent workflows, ensuring robust, scalable solutions across Azure, AWS, and GCP.

You will collaborate with cross-functional teams, implement best practices in testing and security, and contribute to design reviews shaping AI-driven systems. Hybrid work in Bengaluru is offered.

Qualifications

• > At least 2–4 years in full-stack data science with cloud-native architectures.
• > Experience designing end-to-end full-stack apps including frontend, backend and APIs.
• > Proficient with cloud platforms (Azure/W AWS/GCP) and container orchestration.
• > Familiar with agentic AI frameworks and RAG techniques.

Responsibilities

• > Design and develop end-to-end full-stack applications across frontend, backend, and API layers.
• > Build and deploy agentic AI apps using multi-agent systems and autonomous workflows.
• > Implement scalable backend systems with microservices and event-driven architecture.
• > Develop cloud-native solutions on Azure, AWS, and GCP for robust deployments.
• > Integrate LLM-based frameworks and agent orchestration tools for intelligent workflows.
• > Enforce code quality, testing, observability, performance, security, and scalability.
• > Collaborate with cross-functional teams to deliver tech solutions aligned with business needs.
• > Contribute to design reviews and architectural decisions for AI systems.

Skills

Frontend frameworks

Backend development

RESTful APIs

Cloud platforms

Docker

Kubernetes

CI/CD

Agentic AI

Prompt engineering

RAG techniques

Education

Bachelor's degree

Cloud certifications

AI/ML coursework

Tools

Azure

AWS

GCP

LangChain

LlamaIndex

Semantic Kernel

AutoGen

CrewAI

Job description

Analyst

Experience Range:

With at least 2 to 4 years of experience in full-stack data science, including practical exposure to cloud-native architectures and agentic AI frameworks

Key Responsibilities:

• Design and develop end-to-end full-stack applications, covering frontend, backend, and API components
• Build and deploy agentic AI applications using multi-agent systems and autonomous workflows
• Implement scalable backend systems with microservices and event-driven architectures to support intelligent solutions
• Develop cloud-native solutions on platforms such as Azure, AWS, and GCP, ensuring robust and scalable deployments
• Integrate LLM-based frameworks and agent orchestration tools to enable adaptive and intelligent workflows
• Enforce best practices in code quality, testing, debugging, observability, performance optimization, security, and scalability
• Collaborate with cross-functional teams to deliver technical solutions aligned with business requirements
• Contribute to design reviews and architectural decisions for AI-driven systems

Required Skills:

• Full-stack development with React, Angular, or Vue for frontend
• Backend development using Node.js, Java Spring Boot, or Python frameworks (FastAPI, Django)
• RESTful API design and microservices architecture
• Experience with Azure, AWS, and GCP cloud platforms
• Hands-on experience with Docker containers and Kubernetes
• CI/CD pipeline implementation
• Agentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI
• Prompt engineering and Retrieval-Augmented Generation (RAG) techniques

Preferred Skills:

• Familiarity with vector databases such as FAISS or Pinecone
• Knowledge of event streaming systems like Kafka or Pub/Sub
• Experience with federated learning or privacy-preserving algorithms
• Contributions to open-source projects or hackathons in AI/ML or full-stack domains
• Experience with model experimentation platforms such as Domino Datalabs or Databricks ML

Desired Qualifications:

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

Additional Information:

Location: Bangalore (Hybrid work arrangement)