AI Engineer

3 days ago

Lahore, Punjab, Pakistan Taraki Full time 900,000 - 1,200,000 per year

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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