Job Description
We are seeking a highly skilled AI Engineer with demonstrated expertise in cloud computing, API architecture, and applied data science to design and deploy enterprise-grade artificial intelligence solutions. This role requires a deep understanding of Large Language Models (LLMs) and the ability to operationalize them within secure, scalable, and high-performance cloud environments.
As part of our advanced technology group, you will contribute to the development of intelligent automation platforms that enhance decision-making, streamline data workflows, and deliver measurable business value. Successful applicants will work remotely, collaborating closely with distributed teams across Pakistan.
Key Responsibilities:
- Design, develop, and maintain AI-driven systems using FastAPI (Python) for high-performance backend services.
- Integrate and orchestrate advanced model frameworks including LangChain, Claude API, and OpenAI API.
- Architect, deploy, and manage cloud-native infrastructure (AWS, GCP, or Azure) to support model training, hosting, and scaling.
- Lead model lifecycle management, including data preprocessing, fine-tuning, validation, and deployment to production.
- Collaborate with data scientists, engineers, and product teams to translate research prototypes into enterprise applications.
- Implement AI governance, monitoring, and performance optimization practices aligned with organizational standards.
Required Experience & Technical Expertise:
- Cloud Platforms: Proven experience GCP for AI and distributed workloads.
- Frameworks: Advanced proficiency in FastAPI, LangChain, Claude API, and OpenAI API integration.
- Data Science & Modeling: Strong foundation in machine learning, data pipeline engineering, and statistical modeling.
- Model Training & Hosting: Hands-on experience fine-tuning and hosting LLMs in production.
- DevOps & MLOps: Experience with Docker, Kubernetes, Git, MLflow, or comparable tools.
- Programming Languages: Expert-level command of Python.
Preferred Qualifications:
- Graduate degree (MSc or PhD) in Computer Science, Data Science, or a related quantitative field.
- Experience deploying retrieval-augmented generation (RAG) or multi-agent LLM architectures.
- Familiarity with vector databases (Pinecone, FAISS, Weaviate) and secure API lifecycle management.
- Strong communication and documentation skills suited for a professional, client-facing environment.
What We Offer:
- Opportunity to work remotely with a high-performing, innovation-driven team.
- Engagement in enterprise-scale AI transformation projects across multiple industries.
- Salary PKR 350,000 - 400,000.