NorthBay Solutions
Lead GenAI Engineer (Application Development)
GenAI - Karachi, Sindh, Pakistan - Full Time
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.
