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 using 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 practices for code quality, testing, debugging, observability, performance, security, and scalability.
- Collaborate with cross-functional teams to deliver solutions aligned with business requirements.
- 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.
- Backend development experience using Node.js, Java Spring Boot, or Python frameworks such as FastAPI and Django.
- Experience designing RESTful APIs and microservices architectures.
- Experience with Azure, AWS, and GCP cloud platforms.
- Hands-on experience with Docker containers, Kubernetes, and CI/CD pipeline implementation.
- Experience with agentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI.
- Experience with prompt engineering and Retrieval-Augmented Generation (RAG) techniques.
- Familiarity with vector databases such as FAISS or Pinecone is preferred.
- Knowledge of event streaming systems such as Kafka or Pub/Sub is preferred.
- Experience with federated learning or privacy-preserving algorithms is preferred.
- Open-source, hackathon, AI/ML, or full-stack contributions are preferred.
- Experience with 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 certifications, such as AWS Certified Machine Learning Specialty, Azure AI Engineer Associate, or Google Cloud Professional Machine Learning Engineer, are desired.
- Full-stack or AI framework certifications, such as Full Stack Web Development or TensorFlow Developer Certificate, are desired.
Benefits
- Bangalore location with a hybrid work arrangement.
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.