New Opportunity Available - Generative AI Engineer
I’m looking for a talented GenAI engineer to join an elite engineering team to play a pivotal role in the designing, building and operating of brand new AI-powered solutions.
... The Opportunity:
- Permanent Opportunity
- Competitive Salary - with attractive bonus structures
- Financial Services - Banking sector
- Sydney CBD | Hybrid working model
What I’m Looking For:
- Experienced with AI Frameworks and tools (e.g., Langchain, Semantic Kernel, TensorFlow, PyTorch)
- Commercial or side project experience in one or more of the following technologies or related technologies: Anthropic Claude, Llama, LiteLLM, Cursor, windsurf / Codeium, VO Vercel, Continue, Aider, Cline, Langchain, Langgraph, Hugging Face
- Experience across the full SDLC including design, build, test and supporting mission-critical production platforms
- Able to implement AI/ML best practices including CI/CD pipelines and model monitoring
- Demonstrated proficiency using cloud technologies and integrating with ML services including GCP Vertex AI, DataRobot or AWS SageMaker in large and complex organisations and experience with SQL and Python environments
Key Responsibilities:
- You will be at the forefront of developing and deploying innovative AI solutions.
- Responsible for architecture, design, development, testing and operations and deliver in iterative cycles.
- Take end-to-end ownership of your product in a modern DeVops culture
- Working within a multidisciplinary team alongside data scientists and engineers
Skills and Experience:
- Experience with AI frameworks and tools (e.g., Langchain, Semantic Kernel, TensorFlow, PyTorch).
- Commercial or side project experience in one or more of the following technologies or related technologies: Anthropic Claude, Llama, LiteLLM, Cursor, windsurf / Codeium, VO Vercel, Continue, Aider, Cline, Langchain, Langgraph, Hugging Face
- Experience across the full SDLC including design, build, test and supporting mission-critical production platforms
- Able to implement AI/ML best practices including CI/CD pipelines and model monitoring
- Demonstrated proficiency using cloud technologies and integrating with ML services including GCP Vertex AI, DataRobot or AWS SageMaker in large and complex organisations and experience with SQL and Python environments
- Previous experience and familiarity with cloud technologies and architectural practices to enhance tooling across the AI model development lifecycle
- Knowledge of architectural patterns, cloud-native solutions on AWS & Azure, microservices architecture, solutions integration and containerisation.
About the company
This client is a leading global multinational investment bank and financial services company. It is headquartered and listed in the Australian stock exchange and employs nearly 15,000 staff in over 20 countries, being one of the world's largest asset managers in infrastructure and Australia's top ranked mergers and acquisitions adviser with almost half a trillion dollars in assets under management.
At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.