Analyst - R01571042

Brillio

Bengaluru

Hybrid

INR 1,200,000 - 2,400,000

Full time

5 days ago
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Job summary

Brillio in Bengaluru seeks an Analyst with 2–4 years of experience in full-stack data science, cloud-native architectures, and agentic AI frameworks. You will design and deploy end-to-end apps across frontend, backend and APIs, leveraging multi-agent systems for autonomous workflows.

Work with Azure, AWS and GCP, build scalable microservices, ensure security and observability, and collaborate with cross-functional teams to translate business needs into robust technical solutions.

Qualifications

  • Degree in CS, AI, or closely related field.
  • Cloud platform certifications are a plus.
  • Experience with full-stack and AI frameworks.

Responsibilities

  • Design and develop end-to-end full-stack applications (frontend, backend, APIs).
  • Build agentic AI apps using multi-agent systems and autonomous workflows.
  • Develop scalable backend systems with microservices and event-driven patterns.
  • Implement cloud-native deployments on Azure, AWS, and GCP.
  • Integrate LLM frameworks and agent orchestration tools.
  • Ensure code quality, testing, observability, and security.
  • Collaborate with cross-functional teams to meet requirements.
  • Contribute to design reviews and architectural decisions.

Skills

Full-stack data science
Cloud-native architectures
RESTful API design
Microservices
Agentic AI frameworks
Prompt engineering/RAG

Education

Bachelor's in CS/AI
Cloud certifications

Tools

Docker
Kubernetes
LangChain
Pinecone/FAISS

Job description

Analyst

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)

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