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
Robust 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)
Solid 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
Robust knowledge of REST APIs and Microservices Architecture
Experience building and maintaining AI Platforms and deploying LLM-based applications

📌 Generative Ai Platform Engineering Maharashtra
🏢 Ciklum
📍 Maharashtra