AI Engineer

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.