Artificial Intelligence Engineer

Position Overview

Remember to check your CV before applying Also, ensure you read through all the requirements related to this role. We are seeking a highly skilled

Agentic AI Developer

with strong expertise in

Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and LangChain frameworks . The ideal candidate will bring

5+ years of Python development experience

and a solid

statistical background

to design, build, and optimize advanced AI solutions. Key Responsibilities Design and implement

Agentic AI solutions

leveraging LLMs and RAG pipelines. Develop and optimize applications using

LangChain

for scalable AI workflows. Build robust Python-based systems for data ingestion, model training, and deployment. Apply statistical methods to evaluate model performance and ensure accuracy. Collaborate with cross-functional teams to integrate AI solutions into enterprise applications. Stay updated on emerging AI frameworks, tools, and best practices. Required Skills & Qualifications 5+ years of Python development experience

with strong coding and debugging skills. Hands-on expertise with

LLMs (OpenAI, Anthropic, Hugging Face, etc.) . Experience implementing

RAG pipelines

for knowledge retrieval and augmentation. Proficiency with

LangChain

for building modular AI workflows. Strong

statistical background

(probability, regression, hypothesis testing). Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment. Excellent problem-solving and communication skills. Preferred Qualifications Experience with

Agentic AI architectures

and autonomous agents. Knowledge of

vector databases

(e.g., Pinecone, Weaviate, FAISS). Exposure to

MLOps practices

for scalable AI deployment. xsgimln Prior work in enterprise AI or SaaS environments.