Architect - R01571617
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Key details
- Location
- Bengaluru, KA, India
- Work style
- Hybrid
- Level
- Senior
- Experience
- 10–13 yrs
- Function
- Software engineering
- Focus area
- Full stack
- Posted
- 3w ago
Skills
agentic aiai agentsazureazure solutions architectci/cdcode reviewscssdistributed systemsdockerevent-driven architecturehtmljavascriptjestkafkakubernetesllmmachine learningmicroservicesmongodbnestjsnode.jsoracleragreactretrieval-augmented generationtypescript
About the role
Architect
Job requirements
- Define and drive the architecture for AI-first products, ensuring scalability from MVP through production environments
- Design Agentic AI architectures with autonomous and semi-autonomous AI agents, tools, workflows, memory, planning, reasoning, and orchestration
- Determine optimal use of LLM-based agents, Retrieval-Augmented Generation (RAG), deterministic workflows, APIs/services, and machine learning models for product features
- Architect and implement distributed systems and microservices using MERN stack, integrating NodeJS, React JS, and NestJS
- Develop and optimize event-driven architectures leveraging Kafka, Docker, and Kubernetes for orchestration and deployment
- Establish automated CI/CD pipelines for efficient deployment and continuous integration
- Ensure high performance, security, and reliability of cloud-native applications on Microsoft Azure, integrating MongoDB as needed
- Lead code reviews, enforce best practices in coding standards, and mentor engineering teams in advanced JavaScript/Typescript and testing frameworks such as Jest
- Typescript
- JavaScript
- NodeJS
- Express JS
- React JS
- NestJS
- CSS3
- HTML5
- MongoDB
- Kafka
- Docker
- Kubernetes
- Jest
- Distributed microservices architecture
- Experience architecting AI-first and Agentic AI solutions
- Hands-on experience with Microsoft Azure cloud services
- Knowledge of AI orchestration patterns
- Expertise in planning and reasoning workflows for AI agents
- Familiarity with Retrieval-Augmented Generation (RAG) techniques
- Experience integrating traditional APIs and ML models into microservices
- Experience with Oracle RDBMS
- Bachelor's degree in Computer Science, Information Technology, or Software Engineering
- Microsoft Certified: Azure Solutions Architect Expert
- Certified Kubernetes Administrator (CKA)
Experience Range: 10 years of experience, including substantial expertise in architecting MERN fullstack microservices and AI-driven solutions Key Responsibilities:
Required Skills:
Preferred Skills:
Desired Qualifications:
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