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NorthBay Logo NorthBay · IT - Software Development

Lead GenAI Engineer

Pakistan, Lahore · Job Posted January 05, 2026
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Job Description

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.

Job Responsibility

  • 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

Requirements

  • 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
  • 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
  • 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
  • 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
  • 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

Nice to have

  • 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
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