We are seeking a highly skilled and innovative AI Engineer to join our team and contribute to the development of cutting-edge AI solutions.
The ideal candidate will have hands-on experience in Python programming, Large Language Models (LLMs), and modern AI architectures including Retrieval-Augmented Generation (RAG).
You will work on designing intelligent systems that leverage prompt engineering, vector databases, agentic frameworks, and computer vision technologies.
Key Responsibilities:
Design, develop, and deploy AI models using LLMs for various business use cases.
Implement RAG architecture to enhance model performance with external knowledge sources.
Develop and optimize prompts for LLMs to improve accuracy and relevance.
Integrate and manage vector databases (e.g., FAISS, Pinecone, Weaviate) for efficient semantic search.
Utilize agentic libraries such as LangChain, LangGraph, and Autogen to build autonomous AI agents.
Apply computer vision techniques for image and video analysis.
Build document processing pipelines for structured and unstructured data extraction.
Collaborate with cross-functional teams to understand requirements and deliver scalable AI solutions.
Stay updated with the latest advancements in AI and machine learning technologies.
Required Skills:
Strong proficiency in Python and AI/ML frameworks.
Experience with Large Language Models (LLMs) such as GPT, LLaMA, or similar.
Expertise in Prompt Engineering and fine-tuning LLMs.
Hands-on experience with Vector Databases (e.g., FAISS, Pinecone, Weaviate).
Knowledge of RAG Architecture and its implementation.
Familiarity with Agentic Libraries like LangChain, LangGraph, Autogen.
Proficiency in Computer Vision using OpenCV, YOLO, or similar frameworks.
Experience in Document Processing using OCR, NLP, and layout analysis tools.
Strong problem-solving and analytical skills.