GenAI Engineer
Navigator HR Consulting Solutions
Date: 2 weeks ago
City: Lahore
Contract type: Full time
Location: Onsite DHA phase 1 lahore
Timings: 10 AM - 7 PM (Monday to Friday )
Role Overview
We are looking for a GenAI Engineer who can build and optimize AI-driven systems while automating the end-to-end software development lifecycle. The ideal candidate will be responsible for transforming client requirements into structured workflows and enabling intelligent automation across development, QA, and deployment processes.
Key Responsibilities
Timings: 10 AM - 7 PM (Monday to Friday )
Role Overview
We are looking for a GenAI Engineer who can build and optimize AI-driven systems while automating the end-to-end software development lifecycle. The ideal candidate will be responsible for transforming client requirements into structured workflows and enabling intelligent automation across development, QA, and deployment processes.
Key Responsibilities
- Work on GenAI initiatives including organizing, testing, and improving AI-driven systems
- Build evaluation frameworks to assess and improve AI performance
- Research and integrate state-of-the-art open-source AI models
- Develop AI-powered automation to convert client requirements into epics, tasks, and workflows
- Automate effort estimation, task breakdown, and intelligent assignment across teams
- Design and implement RAG pipelines, agentic workflows, and prompt engineering solutions
- Build data pipelines and integration architectures for improved performance and reduced latency
- Develop and deploy production-grade AI solutions
- Work with LLMs, vector databases, and implement hallucination detection mechanisms
- Integrate AI systems with existing stack (Java backend, JavaScript MUI frontend, MongoDB & MySQL, Cloud deployment)
- Ensure automation across development lifecycle including QA, staging, and deployment
- BS in Data Sciences from a reputable university
- 4–6+ years of professional experience with 2–3+ years in AI/ML
- Strong expertise in data processing, structuring, and visualization
- Experience in predictive modeling and AI system design
- Proficiency in Python (knowledge of .NET is a plus)
- Strong SQL skills and experience with relational and NoSQL databases
- Hands-on experience with LLMs, RAG, and prompt engineering
- Experience working with vector databases
- Ability to debug non-deterministic AI systems
- Experience implementing AI evaluation frameworks and hallucination detection
- Proven ability to deliver AI solutions in production environments
- Strong problem-solving, ownership, and communication skills
- Strong ownership mindset with ability to handle end-to-end workflows
- Ability to automate complex processes using AI
- Experience working in fast-paced, product-driven environments
- Capability to bridge AI systems with real-world engineering workflows
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