AI Engineer - (Big Entities)
Taraki
Date: 3 weeks ago
City: Lahore
Contract type: Full time
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:
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.
- 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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