onsite
AI Engineer - Khusnuma Sales
AI Engineer
AI Engineer focused on building, deploying, and optimizing LLM‑powered applications using modern frameworks, prompt engineering, and RAG architectures.
About the role
Key Responsibilities
- Design, develop, and deploy LLM‑powered AI applications with modern AI frameworks.
- Build and integrate solutions using OpenAI, Claude, Gemini, Llama, Mistral, and other open‑source LLMs.
- Engineer prompts and fine‑tune models to meet specific business use cases.
- Implement Retrieval‑Augmented Generation (RAG) pipelines for knowledge‑intensive applications.
- Collaborate with cross‑functional teams to translate requirements into scalable AI solutions.
Requirements
- 1+ year of hands‑on experience with LLMs and generative AI.
- Proficiency in prompt engineering and model fine‑tuning.
- Experience with RAG architectures and knowledge‑base integration.
- Strong programming skills in Python and familiarity with AI frameworks such as Hugging Face, LangChain, or similar.
- Excellent problem‑solving skills and ability to work in a fast‑paced environment.