Gen AI Engineer
Description
Job Description:
GenAI Engineer
Experience: 2+ Years
We are looking for a hands-on engineer with experience in building, integrating, testing, and deploying modern applications involving GenAI and backend systems.
Key Skills & Responsibilities
- Good understanding of RAG, Agentic AI workflows, and Knowledge Graph fundamentals.
- Experience with MCP (Model Context Protocol) and integrating AI/LLM capabilities with applications.
- Strong backend/application development knowledge, including APIs, access control/permissions, and frontend integrations.
- Understanding of event-driven architecture, Kafka, scheduled/Cron jobs, and asynchronous processing.
- Experience with application deployment, troubleshooting, bug fixing, testing, and production support.
- Ability to work across the application lifecycle, from development and integration to deployment and issue resolution.
- Comfortable interacting directly with customers/clients, understanding requirements, debugging issues, and communicating technical solutions.
Preferred Profile
- 2+ years of relevant software development experience.
- Hands-on coding ability and good problem-solving/debugging skills.
- Exposure to GenAI/LLM-based application development is strongly preferred.
- Should be comfortable working across backend, frontend, AI integrations, deployment, and support.
Mandatory: RAG, Agentic AI, Knowledge Graph basics, MCP
Should be flexible with new tech stacks and must have a good attitude towards learning.