GEN AI Engineer

HR Navigator; Lahore; Sur place; PKR 2 232 000 - 3 348 000; Plein temps

Résumé du poste

HR Navigator is seeking a GenAI Engineer to build and optimize AI-driven systems, automating the end-to-end software development lifecycle.

The role focuses on transforming client requirements into structured workflows, enabling intelligent automation across development, QA, and deployment, and delivering production-grade AI solutions onsite in Lahore.

Qualifications

• BS in Data Sciences from a reputable university.
• 4–6+ years of professional experience with 2–3+ years in AI/ML.
• Strong SQL skills and experience with relational and NoSQL databases.
• Proficiency in Python (knowledge of .NET is a plus).
• Hands-on experience with LLMs, RAG, and prompt engineering.

Responsabilités

• 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.

Connaissances

Ownership mindset

End-to-end workflows

AI systems design

Problem solving

Communication skills

Formation

BS in Data Sciences

Outils

Python

SQL

LLMs

Vector databases

MongoDB

MySQL

Description du poste

GenAI Engineer

Location: Onsite

• *Salary Range:* PKR 200,000–300,000
• *Location:* DHA Phase 3, Lahore
• *Working Hours:* 10:00 AM – 6:00 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

Qualification

• 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

What We're Looking For

• Strong ownership mindset with ability to handle end-to-end workflows
• Ability to automate complex processes using AIExperience working in fast-paced, product-driven environments
• Capability to bridge AI systems with real-world engineering workflows