Security models: OAuth and RBAC security
LLM Frameworks: LangChain, LangGraph
Machine Learning Platform (for build, train and deploy ML models): AWS SageMaker for Model hosting. Hugging Face is good to have.
- Demonstrated ability to deliver Gen AI solutions, into an enterprise scale production environments, with a focus on application security and observability.
- Experience building and deploying enterprise grade agent-based architectures and multi-agent orchestration.
- Strong programming skills in Python, and experience with full-stack development, ensuring quality with automated unit and regression testing.
- Considerable hands-on experience with the following AI \"tech stack\".
- AWS Cloud
- EKS / ECS
- Bedrock
- Semantic Kernel
- LangChain
- LangGraph
- SageMaker
- Deep understanding of foundational AI models, prompt engineering, and fine-tuning techniques.
- Experience deploying Generative AI solutions using enterprise-grade DevOps practices and CI/CD pipelines.
- Exposure to AI governance, compliance, and ethical AI frameworks, and the development and implementation of security guardrails.
- Experience delivering software solutions in a banking environment.
- Experience in fraud detection, customer personalisation, or conversational AI is a plus.
- Strong communication and stakeholder engagement skills.
Agentic AI Engineer in Sydney employer: Nityo Infotech
Join a dynamic team where innovation meets collaboration! As a Salesforce Developer, you'll thrive in a supportive work culture that values professional growth and offers ample opportunities for skill enhancement. Located in a vibrant area, our company provides competitive benefits and a unique chance to work on cutting-edge projects that make a real impact.
