AI Engineer

Overview

We are seeking a forward-thinking AI Engineer to architect and deploy intelligent

systems powered by Large Language Models LLMs Retrieval Augmented Generation

RAG and advanced chunking strategies This role is ideal for engineers passionate about

building scalable production grade AI applications that leverage cutting edge retrieval

and generation techniques.

Role Description

Design and implement RAG pipelines using hybrid search vector keyword

semantic ranking and metadata enrichment

Apply chunking strategies fixed size recursive semantic agentic to optimize

document segmentation for retrieval and embedding

Finetune and evaluate LLMs e.g. GPT LLaMA Ollama for tasks such as QA

summarization NER and sentiment analysis

Build multigenetic systems

Integrate AI capabilities into enterprise applications using Azure OpenAI

Cognitive Search Azure Functions and Power Automate

Collaborate with stakeholders to translate business needs into scalable AI

solutions

Ensure model reliability performance and ethical compliance across

deployments

Skills

8-12 years of experience as Full stack developer with at least 24 years in

Generative AI or RAG systems

Proficiency in Python

Azure AI Studio Azure Cognitive Services Vector DBs e.g. Pinecone FAISS

Chunking techniques and embedding strategies

MLOps tools MLflow Docker CICD pipelines

Experience with prompt engineering model evaluation

Mandatory Familiarity with Agentic Systems and Multiagent Orchestration

Technical Soft Skills -

Python Expert

AI Solutions Expert

Azure Cognitive Solutions Good

Partner Client Communications Expert

Desired Skills

Technical Soft Skills Expertise Level Expert Good Knowledge

ADO Azure DevOps Good Knowledge

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