Technology Lead driving AI solutions and team leadership for NorthBay Solutions. Required expertise in Generative AI, ML/AI, and enterprise architecture.
Responsibilities
Architect and deliver end-to-end AI/ML and GenAI solutions integrating with existing enterprise systems.
Lead a team of 8–12 engineers across AI/ML, full-stack, and DevOps disciplines in Agile environments.
Drive technical decision-making across infrastructure, APIs, microservices, databases, and AI platforms.
Ensure successful deployment and scaling of AI solutions across on-premises, cloud, and hybrid architectures.
Act as a trusted advisor to business stakeholders, bridging technical depth with strategic vision.
Requirements
10+ years of experience in technology leadership roles
Expert-level experience with LLMs (LLaMA, Mistral, GPT, etc.), including fine-tuning and deployment
Strong hands-on work with Agentic AI, multi-agent systems, and RAG implementations
Proficiency with vector databases, LangChain, LangGraph, and modern GenAI toolchains
Expertise in advanced prompt engineering and Chain-of-Thought techniques
Proven track record delivering 3+ production-grade GenAI applications
Hands-on experience with Python, TensorFlow, and PyTorch for building production ML systems
Strong background in full-stack development (MERN stack or equivalent)
Deployment expertise across on-premises, cloud, and hybrid environments
Advanced Kubernetes skills for orchestration and scaling
Database expertise in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB)
Proven ability to design and manage APIs and microservices (REST, GraphQL)
DevOps proficiency with Docker, CI/CD pipelines, and infrastructure automation
Deep knowledge of AWS, Azure, or GCP with ML/AI services
Strong grasp of hybrid cloud architectures integrating AI/ML workloads
Strong focus on delivery excellence, scalability, and long-term maintainability
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