- Knowledge of Docker Kubernetes (K8s). Hands-on experience with Model Context Protocol (MCP). Strong working knowledge of Linux systems and Windows CMD / PowerShell . Design and build end-to-end AI / ML projects from scratch.
- Bachelor s degree in CSE / IT / Mechanical / or related field. .
- Solid understanding of machine learning and deep learning concepts
- Experience with LLMs, prompt engineering, and AI APIs
- Knowledge of RAG, embeddings, vector databases (preferred)
- Programming: Python (mandatory), JavaScript (preferred)
- Frontend: React / Angular / Vue
- Backend: Node.js / Python frameworks (FastAPI, Flask, Django)
- Experience with Google Cloud Platform (GCP)
- Knowledge of Docker Kubernetes (K8s)
- Hands-on experience with Model Context Protocol (MCP)
- Strong working knowledge of Linux systems and Windows CMD / PowerShell
- Design and build end-to-end AI/ML projects from scratch
- Develop Agentic AI systems (multi-step workflows,
AI agents, automation pipelines)
- Implement Model Context Protocol (MCP) for tool integration and context handling
- Build and maintain full-stack applications for AI solutions
- Integrate LLMs, APIs, and ML models into production-ready systems
- Work on data preprocessing, model deployment, and optimization
- Deploy solutions on cloud (GCP) and containerized environments (Docker/K8s)
- Handle system-level operations using Linux and Windows scripting
- Continuously improve system performance and scalability
- Bachelor s degree in CSE / IT / Mechanical / or related field
- Proven experience in building and delivering AI-based applications
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.