Role & responsibilities

- Design, develop, and deploy enterprise-grade GenAI platform solutions.

- Build scalable LLM, RAG, and Agentic AI applications.

- Develop secure APIs and microservices for AI workloads.

- Automate deployments using CI/CD and DevSecOps best practices.

- Collaborate with cross-functional teams to deliver cloud-native AI solutions.

- Optimize platform performance, scalability, and reliability.

Preferred candidate profile

- Solid proficiency in Python

- Experience with Generative AI, LLMs, Prompt Engineering

- Hands-on experience with RAG (Retrieval-Augmented Generation) and Agentic AI

- Knowledge of Model Context Protocol (MCP)

- Strong Data Engineering fundamentals and data pipeline development

- Experience with Kubernetes, Docker, and Containerized Applications

- Cloud experience with AWS, Azure, or GCP

- CI/CD, DevSecOps, Infrastructure as Code, and automation

- Experience with Kafka/Event Streaming

- Strong knowledge of REST APIs and Microservices Architecture

- Experience building and maintaining AI Platforms and deploying LLM-based applications

📌 Generative AI Platform Engineering (Chennai)
🏢 Ciklum
📍 Chennai