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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.
Job Responsibility:
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
Requirements:
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
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
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
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
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
Nice to have:
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