GenAI Engineer

Location: DHA Phase 2
Timing: 10:00 AM 6:00 PM Monday to Friday
Job Type: Full-Time Onsite
Salary: PKR/month
Gender Preference: Male Candidates Only
Hiring Urgency: Immediate Joiners or Maximum 15-Day Notice Preferred

We are seeking an experienced GenAI Engineer to design build and optimize AI-powered solutions that automate software development workflows and business processes. This role is ideal for professionals with strong expertise in Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Agentic AI Systems Prompt Engineering AI Evaluation Frameworks and Production AI Deployments.

You will play a critical role in transforming business requirements into intelligent workflows while driving automation across development testing deployment and operational processes.

• Design develop and optimize AI-driven applications and workflows
• Build and implement RAG pipelines AI agents and multi-agent systems
• Research evaluate and integrate state-of-the-art open-source AI models
• Develop advanced prompt engineering strategies to improve AI outputs
• Implement hallucination detection and AI quality assurance mechanisms
• Build AI evaluation frameworks to measure model performance and reliability

• Convert client requirements into structured epics user stories and development workflows
• Automate task breakdown effort estimation prioritization and assignment processes
• Design intelligent systems that improve productivity across engineering teams
• Build automation solutions across QA staging deployment and release management

• Design scalable data pipelines for AI applications
• Work with vector databases and semantic search architectures
• Optimize AI systems for performance latency scalability and cost
• Integrate AI solutions with Java backends JavaScript frontends MongoDB MySQL and cloud environments

• Deploy and maintain enterprise-grade AI solutions
• Monitor model performance and continuously improve outputs
• Troubleshoot and debug non-deterministic AI behaviors
• Ensure reliability scalability and security of AI applications

• BS in Data Science Computer Science AI Machine Learning or related field
• 46 years of professional experience
• 23 years of hands-on AI/ML experience
• Strong proficiency in Python
• Experience with LLMs RAG architectures and prompt engineering
• Experience with vector databases
• Strong SQL and database management skills
• Experience deploying AI solutions into production environments
• Excellent analytical problem-solving and communication skills

• LangChain LangGraph LlamaIndex CrewAI AutoGen
• OpenAI Anthropic Gemini Open Source LLMs
• MLOps and AI observability tools
• Cloud platforms (AWS Azure GCP)
• Knowledge development environments

• Work on cutting-edge Generative AI projects
• Competitive compensation package
• Opportunity to build production-scale AI systems
• High-growth environment with significant ownership