AI Engineer

4 days ago

Lahore, Punjab, Pakistan Techtimize Full time 1,200,000 - 3,600,000 per year

Job Summary:

We are seeking an experienced AI/ML Engineer with strong expertise in

Agentic AI/Multi-Agent Orchestration, 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.

Requirements:

2+ years of experience in AI/ML Engineering, Agentic AI, with a strong

focus on NLP & LLM.

Experience of FAST API is must

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.

Knowledge of Cloud, Azure, MCP and agent based framework

Experience with deploying models using APIs, microservices, or

containerized solutions.

Nice to Have:

Knowledge of data privacy and security best practices in AI

systems. (Will be preferred)

Exposure to cloud services such as AWS, GCP, or Azure for AI/ML

workloads for deployment.

Django skills

Job Type: Full-time

Work Location: In person

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