Senior - AI Engineer

NorthBay Solutions LLC; Lahore; Hybrid; PKR 1,800,000 - 2,500,000; Full time

Job summary

NorthBay Solutions LLC is hiring a Senior AI Engineer in Lahore for a hybrid, full-time role. You will build, deploy, and scale AI/ML solutions, including GenAI initiatives and agentic workflows, to deliver business insights and robust systems.

You will work with cross-functional teams on data processing, predictive modeling, and production-grade Python-based implementations, with exposure to LLMs and vector databases.

Qualifications

• BS in Computer Science from a reputable university.
• 4–6+ years of total professional technology experience.
• 2–3+ years focused AI/ML experience.
• Proven production-grade AI/ML implementation experience.

Responsibilities

• Develop understanding of business domains and data.
• Build predictive models and reporting systems to support decisions.
• Write scripts and queries for data extraction and visualization.
• Design and deploy scalable AI/ML solutions in production.
• Work on GenAI initiatives including organizing and testing AI systems.
• Develop and optimize agentic workflows and RAG-based systems.
• Design forecasting models to improve accuracy.
• Debug and enhance AI systems to reduce hallucinations and improve reliability.
• Build evaluation frameworks to assess AI performance.
• Research and integrate state-of-the-art open-source AI models.
• Train and optimize models across domains like object detection, OCR, and statistics.
• Build robust data pipelines and integration architectures for performance and latency.

Skills

Python

SQL

LLMs

_agentic workflows

RAG

prompt engineering

Vector Databases

Data visualization

Production deployment

Education

BS in Computer Science

Tools

.NET

Job description

Job Description:

Job Title: Senior AI Engineer

Location: Lahore

Job Type: Full-time, (Hybrid)

NorthBay is seeking a highly skilled AI Engineer with strong experience in AI and advanced analytics to join our team. The ideal candidate will have a solid background in data processing, predictive modeling, and production-grade AI systems. This role requires hands-on expertise in building, deploying, and scaling AI solutions that drive real business impact. You will work closely with cross-functional teams and stakeholders to understand business needs, develop intelligent systems, and deliver actionable insights. A strong focus on modern AI practices, including LLMs and agentic workflows, is essential.

Responsibilities

• Develop a deep understanding of business domains and customer data
• Build predictive models and reporting systems to support decision-making
• Write efficient scripts and queries for data extraction, processing, and visualization
• Design and deploy scalable AI/ML solutions into production environments
• Work on GenAI initiatives, including organizing, testing, and improving AI-driven systems
• Develop and optimize agentic workflows and RAG-based systems
• Design and implement forecasting models to significantly improve accuracy
• Debug and enhance AI systems, focusing on reducing hallucinations and improving reliability
• Build evaluation frameworks to continuously assess and improve AI performance
• Research and integrate state-of-the-art open-source AI models
• Train and optimize models across domains such as object detection, classification, OCR, and statistical modeling
• Build robust data pipelines and integration architectures for improved performance and reduced latency.
• Collaborate with stakeholders to translate business needs into technical solutions

Requirements

• BS in Computer Science (BSCS) from a reputable university
• 4–6+ years of total professional experience in technology
• 2–3+ years of focused experience in AI/ML
• Strong expertise in data processing, structuring, and visualization
• Proven experience in designing and implementing predictive models
• Production-grade proficiency in Python; .NET is a plus
• Strong SQL skills and experience working with Vector Databases
• Proven ability to ship AI solutions to production (not limited to experimental work)
• Hands‑on experience with Large Language Models (LLMs)
• Experience with agentic workflows, Retrieval-Augmented Generation (RAG), and prompt engineering.
• Ability to debug non-deterministic AI systems
• Experience implementing hallucination detection mechanisms
• Strong understanding of evaluation frameworks for AI models and prompts