Lead GenAI Engineer (Application Development)

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.

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