2 days ago
Bengaluru, IndiaMid Level / Senior
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 microservices and event-driven architectures.
- Develop and deploy 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, 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 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.
- Hands-on experience with Azure, AWS, GCP, Docker, Kubernetes, and CI/CD pipeline implementation.
- Experience with agentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI.
- Knowledge of prompt engineering and Retrieval-Augmented Generation techniques.
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline.
- Preferred familiarity with FAISS, Pinecone, Kafka, Pub/Sub, federated learning, privacy-preserving algorithms, Domino Datalabs, or Databricks ML.
- Preferred cloud, full-stack, or AI-framework certifications, including AWS Certified Machine Learning Specialty, Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer, or TensorFlow Developer Certificate.
Benefits
- Hybrid work arrangement in Bangalore.
Tech Stack
AngularApache KafkaAWSAzureDatabricksDjangoDockerFastAPIGoogle Cloud PlatformJavaKubernetesNode.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.