2 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design and build end-to-end full-stack intelligent applications integrating frontend, backend, and APIs.
- Develop and deploy cloud-native solutions on Azure, AWS, and GCP.
- Build agentic AI applications, multi-agent systems, and autonomous workflows.
- Develop scalable backend systems using microservices and event-driven architectures.
- Use LLM frameworks and agent orchestration tools to create intelligent workflows.
- Apply practices for code quality, testing, debugging, observability, and performance optimization.
- Collaborate with cross-functional teams, translate business requirements into technical solutions, and participate in architectural decisions.
Requirements
- At least 4–6 years of experience in ML engineering, including cloud-native architectures, agentic AI frameworks, and scalable full-stack systems.
- Advanced proficiency in Python and JavaScript/TypeScript.
- Experience with frontend frameworks such as React, Angular, or Vue.
- Backend expertise with Node.js, Java Spring Boot, or Python frameworks including FastAPI and Django.
- Hands-on experience with Azure, AWS, and GCP.
- Proficiency with Docker and basic understanding of Kubernetes.
- Experience designing RESTful APIs and microservices.
- Experience with LangChain, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI.
- Understanding of prompt engineering and Retrieval-Augmented Generation.
- Familiarity with CI/CD pipelines.
- Preferred experience with autonomous systems, multi-agent architectures, conversational AI, AI-driven automation workflows, vector databases, and event streaming systems such as Kafka or Pub/Sub.
- Preferred contributions to open-source projects or AI/ML and full-stack hackathons.
- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related discipline.
- Preferred cloud certifications such as AWS Certified Machine Learning Specialty, Azure AI Engineer Associate, or Google Professional Machine Learning Engineer.
- Preferred certifications in agentic AI frameworks or full-stack development, such as the TensorFlow Developer Certificate or React Professional Certification.
Benefits
- Hybrid work arrangement in Bangalore.
Tech Stack
AngularApache KafkaAWSAzureDjangoDockerFastAPIGoogle Cloud PlatformJavaJavaScriptKubernetesNode.jsPythonReactSpring BootTensorFlowTypeScriptVue.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.