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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.Salary PKR 350,000 - 400,000.Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information TechnologyIndustries : Transportation, Logistics, Supply Chain and Storage#J-18808-Ljbffr