1,815 AI Engineer jobs in Pakistan

Job Description
Translation Empire PK is looking for an AI Engineer to design and implement machine learning models that drive business innovation. The successful candidate will be responsible for developing, deploying, and monitoring AI systems across various projects.

Key Responsibilities:

• Design and develop machine learning models.
• Deploy AI solutions to production environments.
• Perform data analysis and model optimization.
• Work closely with engineering and product teams.
• Maintain model performance and update based on new data.

Qualification and Experience:

• Bachelor’s or Master’s in Computer Science, AI, or related field.
• 2+ years of AI/ML experience.
• Experience with Python, TensorFlow, Keras, or PyTorch.
• Understanding of cloud ML services (AWS, Azure, GCP).

Certification:
Relevant AI/ML certifications preferred.

Work mode:
Work from Office.

Location:
DHA 1 Sector F Rwp.

Salary:
Market Competitive.

Overview

Translation Empire PK is looking for an AI Engineer to design and implement machine learning models that drive business innovation. The successful candidate will be responsible for developing, deploying, and monitoring AI systems across various projects.

• Design and develop machine learning models.
• Deploy AI solutions to production environments.
• Perform data analysis and model optimization.
• Work closely with engineering and product teams.
• Maintain model performance and update based on new data.

• Bachelor’s or Master’s in Computer Science, AI, or related field.
• 2+ years of AI/ML experience.
• Experience with Python, TensorFlow, Keras, or PyTorch.
• Understanding of cloud ML services (AWS, Azure, GCP).

Relevant AI/ML certifications preferred.

Work from Office.

DHA 1 Sector F Rwp.

Market Competitive.

Job Summary:

We are seeking an experienced 
AI/ML Engineer

with a minimum of 
4 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:

· 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.

Nice to Have:

·   Experience with 
multi-modal models
 (e.g., text + images).

·   Knowledge of 
data privacy
 and 
security best practices
 in AI systems.

·   Exposure to 
cloud services
 specially Azure for AI/ML workloads.

AI Engineer Alpha Digital (Islamabad, Onsite)

• Location:
  Sector C, DHA Phase 2, Islamabad
• Type:
  Full Time, Onsite
• Timing:
  6 PM - 2 AM (Night Shift)
• Experience:
  1–3 Years (Mid-level or highly skilled junior)

About Us

Alpha Digital is a fast-growing software company building high-impact digital products for international clients. We specialize in full-stack web and mobile development and AI-powered systems, including chatbots, automation pipelines, OCR-based data extraction, and enterprise intelligence platforms.

We're looking for a passionate AI Engineer who can bridge the gap between research and production, turning models and algorithms into scalable real-world products.

Key Responsibilities

1. Design, build, and deploy AI-driven applications (LLMs, RAG pipelines, OCR, NLP, VectorDbs and automation tools).
2. Integrate OpenAI, Anthropic, Gemini, or open-source models via APIs into web and mobile apps.
3. Work with developers to implement AI powered features using Python (FastAPI/Flask) or (Nest/Express).
4. Fine-tune and train models or create custom embeddings for specific business domains.
5. Evaluate and optimize AI performance, latency, hallucinations and cost.
6. Collaborate with the full-stack team on data flow, model integration, and frontend interactions.
7. Stay up-to-date with the latest advancements in GenAI, LangChain, Vector Databases, and AI Infrastructure.

Requirements

1. Strong command of Python, LangChain, OpenAI API, and LLM architectures.
2. Experience with data preprocessing, embeddings, and vector databases (like Pinecone, Chroma, or FAISS).
3. Understanding of RAG (Retrieval-Augmented Generation) workflows.
4. Familiarity with OCR systems (Tesseract, AWS Textract, Google Vision API).
5. Basic knowledge of NLP techniques, prompt engineering, and fine-tuning.
6. Understanding of cloud services (AWS, GCP, DigitalOcean) and model deployment.
7. Ability to work in a fast-paced startup environment and deliver end-to-end AI features.

What We Offer

1. Competitive Salary (Based on Experience)
2. Fast-Growth Environment, work on real, production-grade AI projects
3. Friendly & collaborative startup culture

Job Description – AI Engineer

Industry:
Software / IT / Tech

Location:
Gulberg III, Lahore (TAMC Building, Ground Floor, 27 C3 MM Alam Rd, Block C3)

About Clarisync

Clarisync is a SaaS-based tech company with four registered offices worldwide. We build intelligent enterprise solutions powered by AI, automation, and cloud technologies to help businesses scale efficiently.

Key Responsibilities

• Design, fine-tune, and deploy agentic AI systems using frameworks such as LangChain, MCP, and LLM toolkits.
• Build multi-level AI agents powered by Retrieval-Augmented Generation (RAG) for enterprise-grade use cases.
• Implement vector and hybrid databases (e.g., Pinecone, Weaviate, PostgreSQL) for intelligent retrieval.
• Integrate LLMs with APIs, microservices, and enterprise systems for dynamic decision-making.
• Experiment with open-source AI models and apply advanced prompt engineering techniques.
• Research and prototype multi-agent collaboration, memory-augmented reasoning, and tool-use strategies.
• Collaborate with cross-functional teams (Product, Engineering, UX) to deliver AI-driven features.

Qualifications & Experience

• Education:
  Bachelor's/Master's in Computer Science, Data Science, AI, or a related field.
• Experience:
  3–5 years in AI/ML engineering, preferably 3–4 years in a product-based company.
• Skills:
• Strong programming in Python.
• Hands-on with LangChain, RAG pipelines, LLM deployment.
• Familiarity with ML/AI frameworks (TensorFlow, PyTorch, Hugging Face).
• Knowledge of vector databases, APIs, cloud infrastructure, and CI/CD pipelines.
• Strong problem-solving and ability to experiment with emerging AI research.

Benefits

• Remittance-based salary.
• Comprehensive health insurance.
• 100% company-subsidized lunch.
• Opportunity to work with cutting-edge AI technologies in a fast-growing environment.

Requirements:

• 2+ Years of experience in building and deploying AI/ML models and systems.
• Strong proficiency in Python and its core data science/AI libraries (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas).
• Deep, practical experience working with LLMs and advanced agentic frameworks like LangChain and LangGraph.
• Solid understanding of AI architecture patterns, especially Retrieval-Augmented Generation (RAG).
• Experience with API development and integration (e.g., FastAPI, REST).
• Familiarity with cloud platforms (GCP, AWS, etc.) and database technologies.
• A strong problem-solving mindset and the ability to work collaboratively in a fast-paced environment.
• A portfolio of projects (personal, academic, or professional) that demonstrates your ability to build real-world AI applications.

Responsibilities:

• Design, build, and maintain sophisticated AI systems, including RAG pipelines, autonomous agents, custom generative AI solutions, and workflows using advanced frameworks like LangGraph.
• Work extensively with Large Language Models (LLMs) and related frameworks (like LangChain, LlamaIndex, etc.) to build intelligent applications.
• Develop and integrate with APIs to connect our AI systems to a wide range of client data sources and third-party services.
• Collaborate with our full-stack and mobile development teams to ensure seamless integration of AI capabilities into user-facing applications.
• Translate complex business problems into elegant, scalable technical solutions.
• Stay at the forefront of the rapidly evolving AI landscape, experimenting with new tools and concepts like Model-Context-Protocol (MCP) to drive innovation.

We are looking for a skilled AI Engineer to design, develop, and implement artificial intelligence and machine learning solutions. The ideal candidate will have strong expertise in ML/DL frameworks, data processing, and deploying AI models into production environments.

Key Responsibilities

• Design and develop AI/ML models to solve business problems.
• Preprocess, clean, and analyze large datasets for training and testing models.
• Implement deep learning, NLP, computer vision, or generative AI models.
• Deploy, monitor, and optimize models in production (MLOps).
• Collaborate with data scientists, software engineers, and business teams to integrate AI solutions.
• Research and experiment with the latest AI/ML tools and frameworks.
• Ensure model accuracy, scalability, and performance.

Requirements

• Bachelor's/Master's in Computer Science, Data Science, AI/ML, or related field.
• 1–2 years of experience in AI/ML engineering.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• Strong understanding of algorithms, data structures, and statistics.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Knowledge of MLOps practices and CI/CD pipelines.

Job Type: Full-time

Work Location: In person

AI Agent Engineer - Early Career (Fresh Grads)

Rebase AI, Inc. | San Francisco, CA (On-site & Remote)

Rebase AI is building the next generation of intelligent AI agents that can understand, reason, and act autonomously. We're a fast-growing startup backed by experienced founders who are passionate about pushing the boundaries of what AI agents can accomplish in real-world scenarios. As an early-stage company, every engineer has massive impact on our agent capabilities, product direction, and future success.

We're looking for a passionate engineer who loves building AI agents to join our founding team.

This role is perfect for someone who wants to build cutting-edge agents and work on autonomous systems that can plan, execute, and adapt.

You'll shape the future of AI by contributing to breakthrough agent architectures and capabilities. Learn from experts through direct mentorship from senior engineers and AI researchers.

Make real impact as your agents will solve real problems for users from day one. Grow rapidly by taking on increasing responsibility as we scale and expand our agent ecosystem.

You'll design and build AI agents by creating autonomous systems that can understand complex tasks and execute multi-step plans. Implement agent frameworks and work with LLMs, tool calling, memory systems, and planning algorithms.

Optimize agent performance by improving reasoning capabilities, reducing latency, and enhancing reliability. Handle integration work connecting agents to external APIs, databases, and real-world systems. Research and experiment by staying current with latest agent techniques and implementing novel approaches. Collaborate closely with our AI team on agent architecture and capability expansion.

Must Haves:

Recent CS/AI/Engineering graduate or equivalent experience. Strong programming fundamentals (Python preferred, but we value good engineering practices).

Genuine interest in AI agents
- You've built chatbots, automation scripts, or experimented with LLM APIs. Experience with APIs and system integration. Problem-solving mindset and ability to debug complex agent behaviors.

Most Important:
Deep curiosity about agents
- You think about how to make AI systems more autonomous and capable.

Systems thinking
- You understand how different components work together to create intelligent behavior.

Persistence
- Agent debugging requires patience and systematic problem-solving.

Growth mindset
- The agent space moves fast, and you love learning new techniques.

Be among the first engineers building our core agent platform.

Work on technology that will define how humans interact with AI. Rapid career advancement as agent capabilities and our team expand.

Learn from engineers who've built production AI systems. Work directly with founders on product vision and technical strategy. Flexible work arrangements with regular team collaboration. Generous equity package for early employees.

Application Process:

1.
Apply
- Send resume + brief note about your interest in AI agents.

2.
Agent Discussion
- 30-minute chat about your experience with AI/agents and our mission.

3.
Technical Interview
- 90-minute session covering algorithms, system design, and agent architecture.

4.
Team Meet
- Meet the founding team and dive deeper into our agent vision.

5.
Offer
- We move fast and typically respond within a week.

Ready to Build Intelligent Agents?

Send your resume and cover letter to:

Subject line:
AI Agent Engineer - (Your Name)

Tell us: What's your experience with AI agents, LLMs, or automation?

(Projects, experiments, coursework - all count) Describe an AI agent you'd love to build.

What would it do? What excites you most about joining an early-stage company focused on agent technology?

Extra credit:
Share a link to any agent-related projects, GitHub repos, or experiments you've worked on

Company Description

Rimizo Digital Solutions is a leading provider of expert SEO, PPC, Ai & Web Development, Facebook Ads, and Digital Marketing services. Our team of experienced professionals is dedicated to helping businesses succeed online by increasing their online presence, driving more traffic to their website, and generating more leads and sales. We specialize in creating custom digital marketing strategies that are tailored to meet the unique needs of each client. Whether you're looking to improve your search engine rankings, run a successful PPC campaign, or build a beautiful, responsive website, we have the skills and expertise to help you achieve your goals.

Role Description

This is a part-time hybrid role for an AI Engineer located in Islamabad, with some work from home acceptable. The AI Engineer will be responsible for designing and implementing AI models, developing software solutions, and working on various AI-related projects. Day-to-day tasks include pattern recognition, natural language processing, neural network development, and software development to support AI initiatives.

Qualifications

• Experience in Pattern Recognition and Natural Language Processing (NLP)
• Machine Learning
• Can be work on going projects
• Strong Computer Science fundamentals and Neural Networks skills
• Proficiency in Software Development
• Excellent problem-solving abilities and analytical thinking
• Ability to work independently and collaboratively in a hybrid work environment
• Bachelor's degree in Computer Science, Engineering, or a related field
• Experience working on AI projects is a plus