AI Engineer

Job Description – AI Engineer

Company: Mercurial Minds (Pvt.) Ltd.
Location: Islamabad (On-site)
Employment Type: Full-time
Experience Required: 2–4 years (AI / Machine Learning / Applied Data Science)

Company Overview

Mercurial Minds (Pvt.) Ltd. is a forward-thinking technology and digital innovation company delivering end-to-end software solutions that help businesses transform, scale, and innovate through modern digital technologies. Our expertise spans cloud-native platforms, data-driven systems, AI-powered products, and large-scale digital transformation initiatives across telecom, media-tech, and enterprise environments.

At Mercurial Minds, we focus on building intelligent, scalable, and production-ready systems that create measurable business value. We foster a culture of innovation, technical excellence, and continuous learning.

Role Overview

We are seeking an experienced and highly motivated AI Engineer to design, build, and deploy intelligent systems powered by modern AI technologies, including large language models (LLMs), machine learning, and advanced data pipelines.

This role involves working on end-to-end AI solutions such as agentic systems, retrieval-augmented generation (RAG), semantic search, question-answering systems, summarization engines, recommendation systems, AI-powered matching platforms, and production-grade analytics solutions.

The ideal candidate combines strong AI engineering expertise with applied machine learning knowledge and hands-on experience deploying scalable AI solutions in production environments.

Key Responsibilities

• Design, develop, and optimize end-to-end AI-powered applications
• Build and maintain RAG pipelines using vector databases, embeddings, and document processing workflows
• Implement semantic search, filtering, and ranking systems across large and multi-source datasets
• Fine-tune, evaluate, and deploy open-source LLMs and other machine learning models
• Design scalable data pipelines for ingestion, cleaning, transformation, and storage
• Deploy models and AI services using cloud infrastructure and containerization technologies
• Collaborate with product, backend, and frontend teams to integrate AI capabilities into applications
• Monitor model performance, latency, and operational costs, and continuously optimize system quality

Required Skills & Qualifications

• Bachelor’s degree (BS) in Computer Science, Artificial Intelligence, Data Science, or a related field
• Strong proficiency in Python programming and software engineering best practices
• Hands-on experience with agentic and LLM frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, or similar
• Experience working with vector databases (Pinecone, Weaviate, Milvus, FAISS, Chroma, etc.)
• Solid understanding of NLP, embeddings, transformers, and semantic similarity techniques
• Experience deploying models using Docker and cloud platforms (AWS, Azure, or GCP)
• Familiarity with REST APIs and microservices architectures
• Knowledge of data processing libraries (Pandas, NumPy) and machine learning frameworks (Scikit-learn, PyTorch, or TensorFlow)
• Experience with model evaluation, prompt engineering, and performance optimization
• Understanding of the full ML lifecycle including training, validation, deployment, and monitoring

Nice to Have

• Experience fine-tuning open-source models (LoRA, PEFT, quantization)
• Knowledge of MLOps tools such as MLflow, Weights & Biases, Airflow, or Kubeflow
• Background in data science or advanced analytics
• Familiarity with graph databases or knowledge graphs
• Experience building high-availability production systems
• Master’s degree (MS) in Computer Science, Artificial Intelligence, Data Science, or related field
• Strong hands-on project experience in real-world AI applications

What We Offer

• Opportunity to work on real-world, high-impact AI solutions
• Exposure to cutting-edge AI and LLM technologies
• Collaborative and fast-growing engineering environment
• Competitive compensation and career growth opportunities

Ideal Candidate Profile

You are someone who enjoys taking AI ideas from concept to production, understands both theoretical foundations and practical implementation of modern AI systems, and actively stays current with rapidly evolving AI and LLM ecosystems.

Job Type: Full-time

Ability to commute/relocate:

• Islamabad: Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):

• Do you have hands-on experience building or deploying LLM-based applications (e.g., RAG pipelines, semantic search, or agentic systems) in a production or real-world environment?

• Have you worked with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus, Chroma) and deployed AI/ML models using cloud platforms or Docker?

Location:

• Islamabad (Required)

Work Location: In person