Description

You will build, deploy, and maintain generative AI solutions, focusing on LLM workflows and RAG architectures.

This role is on-site.

Responsibilities

• Develop and implement AI workflows using Python.
• Engineer prompts for LLMs and design Retrieval Augmented Generation (RAG) architectures.
• Deploy and maintain AI models across all environments, including production.
• Conduct code reviews, testing, and technical documentation.
• Research and apply new developments in Generative AI.

Required Skills

• 5+ years of professional engineering experience.
• Strong, hands-on proficiency in Python.
• Experience developing APIs using FastAPI or Flask.
• Practical knowledge of LLMs, Prompt Engineering, and Agentic AI.
• Hands-on experience with LangChain and Hugging Face.
• Familiarity with vector databases or indexing tools (e.g., LlamaIndex).
• Knowledge of machine learning frameworks (PyTorch, TensorFlow).

Preferred Skills

• Experience with data processing and AI-enabled workflows in Python.

Key Skills

Education

Any Graduate