14 Language Technology jobs in Pakistan

Job Description
Translation Empire PK is looking for a dedicated NLP Engineer to develop advanced language processing tools and solutions. This role involves working on natural language understanding, generation, translation, and chatbot systems.

Key Responsibilities:

• Build NLP pipelines for classification, summarization, and translation.
• Fine-tune large language models for task-specific applications.
• Perform linguistic analysis and corpus preparation.
• Contribute to AI chatbot development and multilingual processing.
• Evaluate and improve NLP model accuracy and bias handling.

Qualification and Experience:

• Bachelor’s or Master’s in Computational Linguistics, AI, or related field.
• 2+ years of hands-on experience with NLP models and tools.
• Proficiency with Hugging Face, spaCy, NLTK, or similar.
• Experience with transformer models and multilingual NLP.

Certification:
Preferred.

Work mode:
Work from Office.

Location:
DHA 1 Sector F Rwp.

Salary:
Market Competitive.

Job Description
Translation Empire PK is hiring an NLP Engineer to build language models and intelligent systems capable of understanding and generating human language. This role will focus on tasks like text classification, sentiment analysis, and question answering.

Key Responsibilities:

• Develop and fine-tune NLP models using transformers.
• Perform text preprocessing, feature extraction, and sentiment analysis.
• Implement chatbots and information retrieval systems.
• Stay updated with state-of-the-art NLP research.
• Collaborate with cross-functional teams for language-based AI features.

Qualification and Experience:

• Bachelor’s or Master’s in Computational Linguistics, AI, or related field.
• 2+ years of experience in NLP.
• Experience with Hugging Face Transformers, NLTK, spaCy.
• Familiarity with LLMs like BERT, GPT, T5, etc.

Certification:
Preferred.

Work mode:
Work from Office.

Location:
DHA 1 Sector F Rwp.

Salary:
Market Competitive.

Job Description
Translation Empire PK is hiring an NLP Engineer to build language models and intelligent systems capable of understanding and generating human language. This role will focus on tasks like text classification, sentiment analysis, and question answering.

Key Responsibilities:

• Develop and fine-tune NLP models using transformers.
• Perform text preprocessing, feature extraction, and sentiment analysis.
• Implement chatbots and information retrieval systems.
• Stay updated with state-of-the-art NLP research.
• Collaborate with cross-functional teams for language-based AI features.

Qualification and Experience:

• Bachelor’s or Master’s in Computational Linguistics, AI, or related field.
• 2+ years of experience in NLP.
• Experience with Hugging Face Transformers, NLTK, spaCy.
• Familiarity with LLMs like BERT, GPT, T5, etc.

Certification:
Preferred.

Work mode:
Work from Office.

Location:
DHA 1 Sector F Rwp.

Salary:
Market Competitive.

Rawalpindi, Pakistan | Posted on 04/22/2025

At AIIT Solutions, we believe that businesses are now expanding exponentially, so as the technology needs to run the businesses. We understand your technology needs and support required to run the business. We provide IT services so that you can stay focus on your primary business.We provide the following services but not limited toManaged IT Services.IT Services Consultancy.Infrastructure Deployment.Network Operation Center Services.Web Development Services.IT Outsourcing Services.We are covering the education sector, industrial sector, hotel sectors, retail stores and many other industries across the globe.

We are seeking a skilled and passionate AI/NLP Engineer to design, develop, and deploy intelligent chatbot solutions using cutting-edge NLP techniques and tools. The ideal candidate will have hands-on experience with frameworks such as Rasa, Dialogflow, and modern LLM APIs (e.g., OpenAI, Claude), and a strong foundation in Python and deep learning libraries. You will play a crucial role in enhancing our conversational AI capabilities by building robust and scalable NLP pipelines and chatbot systems.

Design, build, and train intelligent chatbots tailored to business requirements

Develop and fine-tune NLP models using tools like Rasa, Dialogflow, and LangChain

Integrate large language models (LLMs) via APIs such as OpenAI, Claude, and others

Implement NLP workflows including intent recognition, entity extraction, and dialogue management

Collaborate with product, design, and engineering teams to deliver high-impact AI-driven solutions

Optimize and scale NLP systems for performance, accuracy, and reliability

Continuously evaluate and implement new tools, techniques, and industry best practices in NLP and AI

Bachelor's or Master’s degree in Computer Science, AI, Data Science, or a related field

Proven experience with Python and relevant AI/ML libraries (TensorFlow, PyTorch)

Hands-on experience with Rasa , Dialogflow , or similar conversational AI frameworks

Familiarity with LLM APIs such as OpenAI GPT , Claude , etc.

Experience with LangChain or similar frameworks for building with LLMs

Strong understanding of NLP concepts like intent classification, NER, and sentiment analysis

Ability to work with RESTful APIs and integrate AI models into applications

Excellent problem-solving and communication skills

Experience with chatbot deployment in cloud environments (e.g., AWS, Azure, GCP)

Knowledge of vector databases and retrieval-augmented generation (RAG) techniques

Experience working in agile teams and DevOps environments

Contributions to open-source NLP or AI projects is a plus

• Competitive Salary based on experience and skillset.
  
• Health Insurance & OPD Coverage.
  
• Annual Performance Bonuses.
  
• Flexible Work Environment (with Remote Work options where applicable).
  
• Professional Growth through training and mentorship.
  
• Collaborative Work Culture with a supportive team.
  

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About

About the Role

As an AI/NLP Engineer on the vFairs Tech Team, you will design, build, and maintain the natural‑language driven form‑generation and data‑retrieval engine that powers our next‑generation “Lovable” and “Replit‑style” experiences. You’ll collaborate closely with full‑stack developers, product managers, and DevOps to deliver a seamless pipeline from user prompt → responsive HTML/CSS → chained form flows → database persistence → generic query APIs.

Key Responsibilities

• Prompt Engineering & Generation
• Craft and iterate high‑precision prompts that translate NL requirements into valid, responsive HTML/CSS form definitions.
• Implement automated post‑processing and code‑sanitization layers to ensure production readiness.
• Retrieval‑Augmented Generation (RAG)
• Design vector‑search pipelines using FAISS/Pinecone/Weaviate to index form metadata, user‑generated docs, and knowledge bases.
• Integrate retrieval calls into LLM prompts to ground outputs in up‑to‑date organizational data.
• Agent & Orchestration Frameworks
• Build multi‑step “agentic” flows leveraging frameworks such as LangChain, LlamaIndex, or Microsoft Semantic Kernel.
• Enable dynamic tool‑calls, decision logic, and error‑handling within generation pipelines.
• Model Fine‑Tuning & Training
• Fine‑tune open‑source LLMs (e.g. Vicuna, Alpaca) and implement instruction‑tuning workflows using Hugging Face Accelerate.
• Curate datasets of prompt–completion pairs and set up basic RLHF or reward‑model loops for iterative improvement.
• Embeddings & Similarity Search
• Select and evaluate embedding models (OpenAI “text-embedding-3”, Sentence‑Transformers) for downstream tasks.
• Implement nearest‑neighbor search with dimensionality reduction and performance optimization.
• Evaluation & Monitoring
• Define metrics (accuracy, diversity, safety) for generated code quality and monitor drift over time.
• Set up logging, A/B experiments, and dashboards to track system performance and user satisfaction.
• API & System Integration
• Collaborate with back‑end teams to expose generation and retrieval endpoints (REST or GraphQL).
• Ensure secure handling of prompts and responses, manage rate limits, and implement retry logic.

• BS/MS in Computer Science, AI/NLP, Computational Linguistics, or related field.
• 2+ years of hands-on experience with large‑language models and NLP pipelines.
• Proficient in Python and familiar with frameworks: Hugging Face Transformers, LangChain or similar.
• Deep understanding of RAG architectures and vector databases (FAISS, Pinecone, etc.).
• Experience fine‑tuning LLMs, instruction‑tuning, and basic RLHF workflows.
• Strong skills in prompt engineering and code sanitization.
• Ability to translate product requirements into technical designs and prompts.
• Strong collaboration skills to work across cross‑functional teams.

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Technology, Information and Internet

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