Feeny
Brillio

Analyst - R01571044 at Brillio (Bengaluru, India)

Brillio· Bengaluru, India·

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)

Why work at Brillio

  • Culture: Rated 4.0/5.0 on Glassdoor (2,264 reviews) and 4.0/5.0 on LinkedIn; 80% would recommend to a friend; Great Place to Work® certified in the USA.
  • Work environment: Engineers get meaningful ownership within clear guardrails – autonomy to make architecture and trade-off calls on their workstreams.
  • Learning & growth: Brillio Academy, hackathons, personalized career development framework; exposure to cutting-edge GenAI and agentic AI projects.
  • Remote / hybrid / office: Not explicitly stated, but global delivery locations suggest a mix of on-site and remote (roles posted across multiple countries).
  • Benefits: “BYou” wellness program built on four pillars of wellness – personal and professional well-being and development.
  • Interview process: Focus on software fundamentals, LLMs, RAG, agents, evaluation, and a design or debugging exercise; candidates should be ready to walk through a real system they shipped.

Application questions