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)
- 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 (Maharashtra)
🏢 Ciklum
📍 Maharashtra