Description

You will design and develop GenAI-powered applications using Python and modern AI frameworks.

This role is hybrid.

Responsibilities

• Design and develop GenAI applications using Python and modern AI frameworks.
• Engineer and optimize prompts for Large Language Models (LLMs).
• Implement Retrieval-Augmented Generation (RAG) pipelines aggregating data from conversation histories and product documentation.
• Integrate and manage vector databases for semantic search and context retrieval.
• Collaborate with product managers, data scientists, and DevOps teams to deliver scalable AI solutions.

Required Skills

• 5+ years of professional experience.
• Proficiency in Python.
• Experience with LangChain and Hugging Face.
• Experience with PyTorch and TensorFlow.
• Strong understanding of LLMs and prompt engineering.
• Practical knowledge of RAG architecture.
• Experience with vector databases.
• Familiarity with cloud platforms.

Preferred Skills

• Experience fine-tuning pre-trained LLMs for domain-specific tasks.
• Ability to ensure testing, monitoring, and documentation of AI models and pipelines.

Key Skills

Education

Any Gradute