Design and develop scalable backend services and APIs using Python, Node.js, or Go.
Lead end-to-end development and deployment of AI / ML models, focusing on RAG and AI Agent implementations.
Work with AWS Bedrock or similar cloud-based AI ecosystems to host and optimize AI models.
Collaborate with cross-functional teams to design system architecture and ensure production readiness.
Implement and maintain containerized applications using Docker, Kubernetes, or ECS.
Apply DevOps best practices for continuous integration, deployment, and infrastructure automation.
Ensure high performance, scalability, and security of deployed systems.
Mentor and guide junior engineers, fostering a culture of innovation and technical excellence.
Participate actively in code reviews, architecture discussions, and agile ceremonies.
Requirements :
Bachelors or Masters degree in Computer Science, Engineering, or a related field.
8+ years of experience as a Senior or Lead Engineer with hands-on expertise in Python, NodeJS, or Go.
Proven experience working with AI / ML, RAG, and AI Agents in production environments.
Familiarity with AWS Bedrock or similar AI hosting platforms is a strong plus.
Experience with TypeScript and API frameworks (e.g., Express) is preferred.
Solid understanding of SQL and NoSQL databases.
Demonstrated success in deploying cloud-native solutions (AWS preferred).
Proficiency in containerization and orchestration tools (Docker, Kubernetes, ECS).
Knowledge of DevOps tools and Infrastructure as Code (e.g., AWS CloudFormation).
Strong problem-solving abilities and a track record of delivering high-quality, scalable systems.
Excellent leadership, communication, and mentoring skills.
(ref : hirist.tech)
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Principal Engineer • Bangalore
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