Location: Lahore, Pakistan (On Site)

Job Type: Full-time

We are seeking a Senior AI / Machine Learning Engineer with strong Python backend expertise to design, build, and operate intelligent systems using LLMs, traditional ML models, and scalable backend services.

This role requires hands-on experience across the full AI lifecycle from data preparation and model training to deployment, monitoring, and continuous improvement while collaborating closely with backend systems and APIs.

Key Responsibilities

Artificial Intelligence & Machine Learning

• Design, train, evaluate, and deploy machine learning models for real-world use cases.
• Fine-tune and integrate Large Language Models (LLMs) for conversational AI, extraction, classification, and decision support.
• Determine when to use:
• LLMs
• Traditional ML models
• Rule-based or hybrid approaches
• Build custom ML pipelines including data ingestion, feature engineering, training, validation, and inference.
• Monitor model performance, drift, and accuracy over time.

LLM & Generative AI Systems

• Integrate LLMs into applications for:
• Chatbots and assistants
• Natural language understanding
• Structured data extraction
• Content generation
• Implement prompt engineering, output validation, and fallback strategies.
• Reduce hallucinations through guardrails, validation logic, and hybrid designs.
• Optimize latency, cost, and reliability of LLM-powered systems.

Data & Model Training

• Work with structured and unstructured datasets.
• Prepare training datasets and labeling strategies.
• Fine-tune models using domain-specific data when required.
• Evaluate models using business-oriented metrics, not just technical accuracy.
• Document model behavior, assumptions, and limitations.

Python Backend Development

• Build and maintain Python-based backend services and APIs.
• Develop scalable, production-grade services using frameworks such as FastAPI or similar.
• Integrate AI models into backend workflows.
• Ensure robust error handling, logging, and observability.
• Optimize performance and concurrency (async programming, background tasks).

Required Qualifications

Core Skills

• 4+ years of professional experience in software engineering and/or machine learning.
• Strong proficiency in Python.
• Hands-on experience with machine learning model development.
• Experience integrating LLMs or NLP systems into applications.
• Solid understanding of data structures, algorithms, and system design.
• Experience deploying models and services into production environments.

AI / ML Expertise

• Supervised and unsupervised learning
• NLP and/or conversational AI
• Model evaluation and monitoring
• Feature engineering and data preprocessing
• Model fine-tuning and experimentation

Backend & Infrastructure

• REST APIs and backend service development
• Async and concurrent programming concepts
• Databases (SQL)
• Caching systems (Redis or similar)
• Cloud or container-based deployments (nice to have)

Nice-to-Have

• Experience with speech-to-text or voice systems
• Experience with vector databases or semantic search
• Familiarity with MLOps tools and workflows
• Knowledge of open-source LLM ecosystems
• Experience in search, recommendation, or ranking systems