2 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Design and develop end-to-end full-stack applications across frontend, backend, and API components.
- Build and deploy agentic AI applications using multi-agent systems and autonomous workflows.
- Implement scalable backend systems with event-driven architectures to support intelligent solutions.
- Develop robust cloud-native solutions on Azure, AWS, and GCP.
- Integrate LLM-based frameworks and agent orchestration tools for adaptive workflows.
- Apply code quality, testing, debugging, observability, performance optimization, security, and scalability practices.
- Collaborate with cross-functional teams and contribute to design reviews and architectural decisions for AI-driven systems.
Requirements
- At least 2 to 4 years of experience in full-stack data science, including practical exposure to cloud-native architectures and agentic AI frameworks.
- Experience with React, Angular, or Vue for frontend development.
- Experience with Node.js, Java Spring Boot, or Python frameworks including FastAPI and Django for backend development.
- Experience with Azure, AWS, and GCP cloud platforms.
- Hands-on experience with Docker and Kubernetes.
- Experience implementing CI/CD pipelines.
- Experience with LangChain, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI.
- Experience with prompt engineering and Retrieval-Augmented Generation (RAG).
- Familiarity with FAISS or Pinecone, Kafka or Pub/Sub, federated learning or privacy-preserving algorithms, open-source projects or AI/ML and full-stack hackathons, and Domino Datalabs or Databricks ML is preferred.
- A bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline is a desired qualification.
- Cloud or full-stack/AI certification is desired, including AWS Certified Machine Learning Specialty, Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer, Full Stack Web Development, or TensorFlow Developer Certificate.
Benefits
- Hybrid work arrangement in Bangalore.
Tech Stack
AngularApache KafkaAWSAzureDatabricksDjangoDockerFastAPIGoogle Cloud PlatformKubernetesNode.jsPythonReactSpring BootTensorFlowVue.js
Categories
About Brillio
Brillio is a privately held digital engineering and enterprise AI services firm that helps Fortune 1000 companies modernize products, data, and infrastructure. It combines consulting and managed services with an accelerator platform (ADAM) across cloud, AI, data engineering, customer experience, and infrastructure workstreams. Founded in 2014 and headquartered in Dallas, it operates delivery centers across North America, Europe, and Asia, with focus areas that include healthcare and life sciences.