Lead GenAI Engineer (Application Development)

Lead GenAI Engineer (Application Development)

Experience: 712 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 812 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 (45 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.