Analyst R
Posted:
15 September 2026 (Yesterday)
Application Deadline:
13 December 2026
Vacancies:
1 Vacancy
Job Summary
Analyst
Job requirements
- 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
- Full-stack development with React Angular or Vue for frontend
- Backend development using 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
- 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
- Bachelors 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)
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:
Required Skills:
Preferred Skills:
Desired Qualifications:
Additional Information: Location: Bangalore (Hybrid work arrangement)
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.