Staff AI Engineer at Airwallex designing and deploying intelligent financial automation systems. Utilizing AI frameworks and collaborating across teams for innovative production solutions.
About the role
- 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
Benefits
- Health insurance
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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