Analyst - R01571043

Brillio 2
Bangalore +1 more
Hybrid

Who this role is best for

A natural match if you have 2 to 4 years of full-stack data science experience and practical exposure to agentic AI frameworks.

Best fit for

  • Candidates with 2-4 years of full-stack data science experience and cloud-native expertise
    — “With at least 2 to 4 years of experience in full-stack data science, including practical exposure to cloud-native architectures”
  • Individuals familiar with agentic AI frameworks and deploying autonomous workflows
    — “Build and deploy agentic AI applications using multi-agent systems and autonomous workflows”
  • Professionals comfortable with cross-functional collaboration and AI-driven system design
    — “Collaborate with cross-functional teams to deliver technical solutions aligned with business requirements”

Things to consider

  • The role requires a hybrid work arrangement with a presence in Bangalore
    — “Location: Bangalore (Hybrid work arrangement)”
  • Certification in cloud platforms or AI frameworks is a desired qualification
    — “Certification in cloud platforms (e.g., AWS Certified Machine Learning Specialty, Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer)”

How to stand out

  • Highlight experience with agentic AI frameworks like LangChain or AutoGen in your resume
    — “Agentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI”
  • Showcase your ability to implement scalable microservices and event-driven architectures
    — “Implement scalable backend systems with microservices and event-driven architectures”
  • Demonstrate hands-on deployment skills with Docker and Kubernetes in interviews
    — “Experience with Docker containers and Kubernetes”
  • Emphasize your track record with cloud-native solutions on platforms like AWS or Azure
    — “Develop cloud-native solutions on platforms such as Azure, AWS, and GCP”
  • Include projects involving prompt engineering or Retrieval-Augmented Generation (RAG) techniques
    — “Integrate LLM-based frameworks and agent orchestration tools to enable adaptive and intelligent workflows”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Designed and developed end-to-end full-stack applications, covering frontend, backend, and API components
Typical background
2 to 4 years of experience in full-stack data science, including practical exposure to cloud-native architectures and agentic AI frameworks

Skills & requirements

Required

ReactAngularVueNode.jsJava Spring BootPython Frameworks (fastapi, Django)Restful API DesignMicroservices ArchitectureAzureAWSGCPDocker ContainersKubernetesCi/cd Pipeline ImplementationAgentic AI FrameworksPrompt EngineeringRetrieval-augmented Generation (rag) Techniques

Preferred

Vector DatabasesEvent Streaming SystemsFederated LearningPrivacy-preserving AlgorithmsOpen-source ProjectsModel Experimentation Platforms

Stack & domain

ReactAngularVueNode.jsJava Spring BootPython FrameworksRestful API DesignMicroservices ArchitectureAzureAWSGCPDockerKubernetesCi/cd Pipeline ImplementationAgentic AI FrameworksPrompt EngineeringRetrieval-augmented Generation (rag) TechniquesVector DatabasesEvent Streaming SystemsFederated LearningPrivacy-preserving AlgorithmsModel Experimentation PlatformsAWS Certified Machine Learning SpecialtyAzure AI Engineer AssociateGoogle Cloud Professional Machine Learning EngineerFull Stack Web DevelopmentTensorflow Developer CertificateFull-stack DevelopmentCloud-native Architectures

About the role

Original posting from Brillio 2 via Lever

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 systemsRequired 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) techniquesPreferred 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 MLDesired 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)

Source: Brillio 2 careers (Lever)

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