Join to apply for the Lead GenAI Engineer (Application Development) role at NorthBay Solutions .
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 productionExpertise in LLMs (LLAMA, Mistral, GPT, etc.) , including fine‑tuning, optimization, and deploymentHands‑on experience with Agentic AI , Multi‑Agent Systems , and Agentic RAG implementationsProficiency in Vector Databases , LangChain , LangGraph , and related toolchainsStrong prompt engineering and Chain‑of‑Thought optimization capabilitiesAI / ML Foundation (4–5 Years)
Hands‑on Python , TensorFlow , PyTorch experience for building ML models and AI pipelinesExpertise in the AI / ML model lifecycle — from development and deployment to monitoringExperience integrating AI / ML solutions into enterprise‑grade web or mobile applicationsApplication 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 capabilitiesProficiency in API development (REST, GraphQL) and microservices architectureExperience deploying solutions across on‑premises, cloud, and hybrid environmentsKubernetes for container orchestration and deployment managementDatabase experience in SQL (PostgreSQL / MySQL) and NoSQL (MongoDB / DynamoDB)Familiarity with DevOps tools : Docker, CI / CD pipelines, and infrastructure automationCloud & Infrastructure
Hands‑on experience with AWS / Azure / GCP cloud environments and ML servicesExperience with AWS SageMaker , Bedrock , Lambda , API Gateway , or equivalentsUnderstanding of hybrid architecture design integrating AI / ML systemsProven Delivery
Successful delivery of 7+ enterprise or AI / ML‑driven applicationsDemonstrated leadership experience managing cross‑functional technical teamsAbility to deliver high‑quality, scalable, and secure solutions under tight timelinesPreferred Qualifications
Cloud certifications (AWS / Azure / GCP – Solutions Architect / ML Specialty preferred)Excellent communication and leadership skills , capable of bridging business and technologyExperience working in Agile / Scrum environments with measurable performance outcomesIdeal 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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