Lead GenAI Engineer (Application Development)

NorthBay Solutions; Blue Area; Hybrid; PKR 2,000,000 - 2,750,000; Full time

Job summary

A leading tech company is seeking a Lead GenAI Engineer for application development. The ideal candidate will have 7-12+ years of experience in AI/ML and GenAI, proven leadership in cross-functional teams, and a strong technical background in developing enterprise applications. This role offers a hybrid work environment and presents an opportunity to work on cutting-edge technology in a collaborative setting.

Qualifications

• 7-12+ years of experience in GenAI application development.
• Proven experience in developing and deploying enterprise-scale applications.
• Strong leadership skills in managing cross-functional teams.

Responsibilities

• Design and implement AI-powered applications.
• Lead a team of engineers across various disciplines.
• Collaborate with teams to translate requirements into AI solutions.

Skills

AI/ML

GenAI application development

Leadership

Python

TensorFlow

DevOps

Education

Cloud certifications (AWS/Azure/GCP)

Tools

Docker

Kubernetes

SQL

NoSQL

Job description

Lead GenAI Engineer (Application Development)

Experience: 7–12+ years
Location: Hybrid (Lahore / Karachi / Islamabad – Pakistan)
Employment Type: Full-time

About the Role

NorthBay Solutions is seeking a Lead GenAI Engineer (Application Development) with a strong foundation in AI/ML, GenAI solution design, and end-to-end application development. The ideal candidate will have a proven track record of developing and deploying enterprise-scale GenAI applications across cloud and hybrid environments, while leading cross-functional engineering teams in Agile settings.

Core Responsibilities

• Design and implement AI-powered enterprise-grade applications, integrating traditional systems with AI/ML and GenAI capabilities.
• Lead a team of 8–12 engineers across full-stack, DevOps, and AI/ML disciplines.
• Drive technical decision-making across infrastructure, microservices, APIs, and AI components.
• Architect and deliver production-ready GenAI applications, ensuring scalability, reliability, and performance.
• Collaborate with product and business teams to translate complex requirements into actionable AI-driven solutions.

Technical Requirements

GenAI Leadership (3+ Years) – Primary

• Proven experience in developing and deploying GenAI applications in production.
• Expertise in LLMs (LLAMA, Mistral, GPT, etc.), including fine-tuning, optimization, and deployment.
• Hands-on experience with Agentic AI, Multi-Agent Systems, and Agentic RAG implementations.
• Proficiency in Vector Databases, LangChain, LangGraph, and related toolchains.
• Strong prompt engineering and Chain-of-Thought optimization capabilities.

AI/ML Foundation (4–5 Years)

• Hands-on Python, TensorFlow, PyTorch experience for building ML models and AI pipelines.
• Expertise in the AI/ML model lifecycle — from development and deployment to monitoring.
• Experience integrating AI/ML solutions into enterprise-grade web or mobile applications.

Application Development & Architecture (7+ Years)

• Strong background in full-stack development (MERN or equivalent stack).
• Proven ability to deliver end-to-end applications integrating AI/ML and GenAI capabilities.
• Proficiency in API development (REST, GraphQL) and microservices architecture.
• Experience deploying solutions across on-premises, cloud, and hybrid environments.
• Kubernetes for container orchestration and deployment management.
• Database experience in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).
• Familiarity with DevOps tools: Docker, CI/CD pipelines, and infrastructure automation.

Cloud & Infrastructure

• Hands-on experience with AWS/Azure/GCP cloud environments and ML services.
• Experience with AWS SageMaker, Bedrock, Lambda, API Gateway, or equivalents.
• Understanding of hybrid architecture design integrating AI/ML systems.

Proven Delivery

• Successful delivery of 7+ enterprise or AI/ML-driven applications.
• Demonstrated leadership experience managing cross-functional technical teams.
• Ability to deliver high-quality, scalable, and secure solutions under tight timelines.

Preferred Qualifications

• Cloud certifications (AWS/Azure/GCP – Solutions Architect / ML Specialty preferred).
• Excellent communication and leadership skills, capable of bridging business and technology.
• Experience working in Agile/Scrum environments with measurable performance outcomes.

Ideal Candidate

A hands-on leader with strong expertise in GenAI application development, solid understanding of AI/ML, and a proven background in enterprise software engineering and deployment across cloud and hybrid infrastructures.