Analyst - R01571043

Brillio 2; Bengaluru; Hybrid; INR 900,000 - 1,300,000; Full time

Job summary

Brillio 2 is seeking an Analyst with 2–4 years of experience in full-stack data science to design and deploy AI-enabled solutions. You will work on cloud-native architectures across Azure, AWS, and GCP, building end-to-end applications with microservices and event-driven patterns.

Responsibilities include integrating agentic AI frameworks, designing robust APIs, and ensuring code quality, testing, and observability. Hybrid work from Bengaluru, with collaboration across cross-functional teams.

Qualifications

• 2–4 years of experience in full-stack data science
• Experience with cloud-native architectures and agentic AI frameworks
• Must have a Bachelor's degree in CS/AI/DS or related field

Responsibilities

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

Skills

Full-stack development

API design

Agentic AI frameworks

Cloud platforms

CI/CD pipelines

Frontend frameworks

Backend frameworks

RAG techniques

Prompt engineering

Education

Bachelor's degree in CS/AI/DS

Cloud platform certifications

Full-stack/AI framework certifications

Tools

Docker

Kubernetes

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)