Description

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

Responsibilities

• Design and develop GenAI applications using Python and modern AI frameworks.
• Engineer and optimize prompts for LLMs.
• Implement RAG pipelines aggregating data from conversation histories and product documentation.
• Integrate and manage vector databases for semantic search and context retrieval.
• Fine-tune pre-trained LLMs for domain-specific tasks and performance improvements.
• Collaborate with product managers, data scientists, and DevOps teams to deliver scalable AI solutions.
• Ensure testing, monitoring, and documentation of AI models and pipelines.

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.

Key Skills

Education

Any Gradute