Lead GenAI Engineer

1 week ago

Lahore, Punjab, India NorthBay Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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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