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Posted on 10 Aug, 2026
Hybrid
Job Description | Responsibilities
- Develop LLM-powered applications and Generative AI solutions using Python.
- Build RAG pipelines, prompt engineering workflows, embeddings, and vector search solutions.
- Develop AI agents and integrate LLM APIs with enterprise applications.
- Evaluate and optimize AI models for accuracy, performance, scalability, and cost.
- Deploy and maintain production GenAI solutions with cloud, APIs, and monitoring.
Overview
- Industry - IT - INFORMATION TECHNOLOGY
- Job Role - GenAI Engineer
- Employment type - Full Time - Permanent
- Work Mode - Hybrid
Qualifications
- Any Graduate - Any Specialization
- Any Post Graduate - Any Specialization
- Any Doctorate - Any Specialization
Job Related Keywords
Generative AI
LLM
Python
RAG
Prompt Engineering
Vector Database
LangChain
AI Agents
LLM APIs