Generative AI Engineer (Onsite, Lahore, Remittance Salary)

Requirements:

• 3+ years of hands-on experience in LLM integration, prompt engineering, or fine-tuning open-source models.
• Strong command of Python, HuggingFace Transformers, LangChain, or LLM orchestration frameworks.
• Experience with cloud infrastructure (AWS preferred) for scalable AI deployment (e.g., SageMaker, Lambda, ECS).
• Deep understanding of enterprise NLP applications, semantic search, and embedding-based retrieval.
• Familiarity with MLOps pipelines, model versioning, and A/B evaluation for generative outputs.
• Background in domains involving safety-critical systems, enterprise operations, or process automation.
• Awareness of data governance, access control, and security principles when working with GenAI in regulated environments.

Responsibilities:

• Design and fine-tune LLM-based assistants using models such as GPT, DeepSeek, or LLaMA to deliver contextual support, automated content generation, and dynamic workflow guidance.
• Integrate Generative AI pipelines into complex enterprise processes involving compliance-sensitive data, ensuring accuracy, traceability, and explainability.
• Collaborate across engineering and product teams to develop natural language interfaces, knowledge retrieval systems, and AI copilots.
• Employ prompt engineering, embedding models, and RAG architectures to align LLM responses with domain-specific knowledge graphs.
• Ensure AI output quality through evaluation frameworks focused on hallucination control, factual consistency, and task reliability.