• Design and develop scalable AI-powered applications and services, integrating multi-agent frameworks and LLM-based workflows to enable intelligent automation.
• Build and optimize AI models, vector search systems, and embeddings to enhance data retrieval, analytics, and decision-making.
• Implement advanced API integrations, ensuring seamless interaction between AI models, enterprise systems, and external data sources.
• Architect and manage AI cloud infrastructure on Azure (e.g., ACI, AKS), prioritizing security, scalability, cost optimization and reliability for AI workloads.
• Lead the development of data pipelines for processing, storing, and retrieving structured and unstructured data efficiently.
• Supervise and mentor junior developers, ensuring best practices in AI workflow development, API design/integrations, and cloud deployments.
• Automate infrastructure and model deployment with DevOps practices and CI/CD pipelines
• Continuously monitor and optimize AI-driven applications, addressing performance bottlenecks and improving system resilience through proactive logging, real-time analytics, and comprehensive reporting to drive insights and improvements.
• Collaborate with architects and product managers to define AI strategies, aligning technical solutions with business objectives.
• Research and integrate emerging AI technologies, keeping the platform current, competitive, and future-proof.
  
  
  

• Minimum 10 years of software engineering experience spanning design, development, testing, and deployment.
• Enterprise integration background with hands-on experience in developing and integrating REST/SOAP web services, managed APIs, OAuth 2 authentication, and messaging queues for reliable system communication.
• Strong experience coding in Python or C#, plus JavaScript/TypeScript, SQL, and a solid grasp of design and integration patterns.
• Hands-on experience with agentic workflows and multi-agent frameworks (e.g., Autogen/AG2, LangChain/LangGraph, CrewAI) to orchestrate AI agents.
• Advanced knowledge of Retrieval-Augmented Generation (RAG) and prompt engineering (ReAct, Reflection, chain-of-thought) and Metacognitive AI techniques.
• Familiarity with vector embeddings, semantic search, and vector databases (Pinecone, FAISS) for AI-powered information retrieval.
• Solid understanding of AI/ML fundamentals (pre-training, fine-tuning, transfer learning, Transformers) and LLM architectures, including parameter scaling.
• Strong expertise in Azure AI and cloud services, designing modular AI architectures with Azure AI Services and data processing pipelines.
• Proven expertise in entity and data modeling, with hands-on experience in relational, NoSQL, and vector databases, optimizing data pipelines to support AI applications efficiently.
  
  
  

• We are experts in International Talent Partnering. This means that you will be a trusted member of the ASW family, and get access to our great benefits, plus you also get to work directly with one of clients.
• In our unique English-speaking environment, you can practice and enhance your English with peers and international client teams based in either Australia, UK, US or NZ.
• Get global access to Learning & Development programs.
• Great work-life balance.
• Competitive remuneration.
• Excellent medical benefits.
• Great Paid Leave entitlements.
• Company parties/events, future travel opportunities, and other exciting activities.
• Ongoing career opportunities.
• To find out what our people say about working at ASW, visit: https://aswhiteglobal.com/careers/
  
  
  

Please refer to job description.