Analyst - R01571042

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

Job summary

Brillio in Bengaluru is seeking an Analyst with 2–4 years in full-stack data science to design and deliver AI-enabled applications. The role emphasizes cloud-native architectures, multi-agent workflows, and scalable backend systems.

You will work across frontend, backend, and API layers using React/Angular/Vue, Node.js/Spring Boot/Python, and DevOps on Azure, AWS, and GCP, with Docker and Kubernetes to ensure robust deployments.

Qualifications

• Bachelor's degree in CS, AI, or DS.
• Cloud certifications preferred.
• Experience with full-stack AI workflows.

Responsibilities

• Design and develop end-to-end full-stack applications.
• Build and deploy agentic AI applications using multi-agent systems.
• Implement scalable backend systems with microservices.
• Develop cloud-native solutions on Azure, AWS, and GCP.
• Integrate LLM-based frameworks and agent orchestration tools.
• Enforce best practices in code quality, testing, observability, security.
• Collaborate with cross-functional teams to deliver solutions.
• Contribute to design reviews and architectural decisions.

Skills

Full-stack dev

React/Angular/Vue

Node.js/Spring Boot/Python

RESTful APIs

Cloud platforms (Azure/AWS/GCP)

Docker/Kubernetes

CI/CD

LangChain

Prompt engineering

RAG techniques

Education

Bachelors in CS/AI

Cloud certifications

Tools

Docker

Kubernetes

Azure

AWS

GCP

Git

CI/CD tools

Job description

Analyst

Job requirements

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)