AI Engineer

Overview

This opportunity is with

Big Entities , a leading software development and IT services company dedicated to delivering innovative software solutions that empower businesses to achieve exponential growth. Job Description

Job Title :

AI Engineer Location :

Onsite - Lahore Experience :

2+ Years Job Type :

Full-Time Job Summary :

We are seeking an experienced

AI / ML Engineer

with a minimum of

2 years of hands-on experience

in

Natural Language Processing (NLP)

and

LLM (Large Language Model) -based solutions. The ideal candidate should have a strong background in

Retrieval-Augmented Generation (RAG) ,

vector database design ,

chunking strategies , and

chatbot development , along with proven expertise in

fine-tuning and integrating LLMs

for real-world applications. Key Responsibilities

Design and develop

NLP pipelines

to process and extract insights from unstructured data. Build and optimize

RAG (Retrieval-Augmented Generation)

workflows for LLM-based systems. Implement

chunking strategies

to improve information retrieval and response accuracy. Work with

vector databases

(e.g., Pinecone, Weaviate, FAISS) to store and retrieve embeddings efficiently. Develop

conversational AI / chatbot

solutions using modern frameworks and APIs. Fine-tune, integrate, and deploy

LLMs (Open-source or proprietary)

based on application needs. Collaborate with product and engineering teams to translate business requirements into intelligent AI-driven features. Conduct experiments, evaluate model performance, and optimize pipelines for scalability and accuracy. Required Skills & Qualifications

2+ years of experience in

AI / ML Engineering , with a strong focus on

NLP . Proven experience with

RAG frameworks ,

LLM fine-tuning , and

prompt engineering . Hands-on experience with

vector databases

such as

FAISS, Pinecone, Chroma, Weaviate , etc. Strong understanding of

embedding models ,

tokenization , and

text chunking techniques . Experience in building

chatbots

and integrating with LLMs (OpenAI, Cohere, HuggingFace, etc.). Proficiency in

Python

and libraries like

LangChain, Transformers, PyTorch, or TensorFlow . Experience with deploying models using

APIs ,

microservices , or containerized solutions. Familiarity with MCP (Model Context Protocol), tool calling, and preferably agent-based frameworks (Agent Boot or similar) for building autonomous AI workflows.

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