Analyst – R01571043

Brillio; Bengaluru; Hybrid; INR 180,000 - 320,000; Full time

Job summary

Brillio in Bengaluru (Bangalore) is seeking a seasoned full-stack data science engineer to design and deliver end-to-end solutions. You will work across frontend, backend, and API layers, building cloud-native apps and agentic AI workflows.

You will apply multi-agent systems, RAG techniques, and frameworks like LangChain, with Docker/Kubernetes, across Azure, AWS, and GCP to scale deployments. Hybrid work is offered.

Qualifications

• Experience in full-stack data science with cloud-native architectures.
• Proficiency in frontend and backend technologies and API design.
• Hands-on with Docker and Kubernetes in cloud environments.

Responsibilities

• Design and develop end-to-end full-stack applications across frontend, backend, and APIs.
• Build and deploy agentic AI apps using multi-agent systems and autonomous workflows.
• Implement scalable backend systems with microservices and event-driven arch.
• Develop cloud-native solutions on Azure, AWS, and GCP.
• Integrate LLM-based frameworks and agent orchestration tools.
• Enforce code quality, testing, observability, and security best practices.
• Collaborate with cross-functional teams to meet business needs.
• Contribute to design reviews and AI-driven system architecture.

Skills

Full-stack development

RESTful API design

Prompt engineering

Collaboration

Education

Bachelor's degree in CS/AI/Data Science

AI/frameworks certification

Tools

React

Angular

Vue

Node.js

Java Spring Boot

Python (FastAPI/Django)

Docker

Kubernetes

LangChain

LlamaIndex

Semantic Kernel

AutoGen

CrewAI

Job description

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
• 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 full-stack development or AI frameworks (e.g., Full Stack Web Development, TensorFlow Developer Certificate)

Additional Information:

Location: Bangalore (Hybrid work arrangement)