Analyst – R01571042

Brillio; Bengaluru; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Brillio is seeking a senior full-stack data science engineer to design and deploy end-to-end AI-powered applications. You will work on frontend and backend, API layers and cloud-native deployments, building agentic AI solutions using multi-agent workflows and LLM integration.

You will implement microservices, leverage Azure/AWS/GCP, Docker and Kubernetes, and collaborate across teams to align technical decisions with business needs.

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science or related field.
• Certification in full-stack development or AI frameworks preferred.
• Strong background in building scalable full-stack AI systems.

Responsibilities

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

Skills

Frontend frameworks (React/Angular/Vue

Backend frameworks (Node.js/Spring/Dal

RESTful APIs

Cloud platforms (Azure/AWS/GCP)

Docker & Kubernetes

Agentic AI frameworks

RAG techniques

Education

Bachelor's in CS/AI/DS

Certifications in Full Stack / AI

Tools

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)