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- Architect, build, and deploy full-stack AI applications leveraging LLMs and GenAI models for enterprise use cases.
- Implement and optimize retrieval-augmented generation (RAG) pipelines, including integration with vector databases (Pinecone, FAISS, Weaviate).
- Develop multi-agent orchestration using frameworks such as LangChain, LangGraph,CrewAI, and AutoGen for autonomous task execution.
- Design effective prompts and function-calling logic for context-aware AI agent workflows.
- Collaborate with cross-functional teams (product, data, design) to translate requirements into production-grade AI systems.
- Deploy, monitor, and maintain GenAI and agentic applications on cloud platforms (AWS,GCP, Azure), ensuring reliability and scalability.
- Implement MLOps and CI/CD pipelines for continuous delivery, monitoring, and retraining of AI applications.
- Experience integrating with front-end frameworks for AI-powered user experiences.
- Proven track record of shipping reliable, maintainable AI products in production.
- Familiarity with open-source AI/agentic tools and continuous evaluation frameworks (Agent Bench, RAGAS).
- Bachelor's or master's degree in computer science, Engineering, AI, Data Science, or related discipline (or equivalent experience).
- 2+ years developing full-stack or AI/ML systems, with portfolio demonstrating LLM, GenAI, or agentic pipeline experience.
Full Stack AI Engineer - Sydney, New South Wales - Synechron
Description
We are looking for a Full Stack AI Engineer will design, develop, and deploy scalable AI systems using the latest in LLMs, RAG, GenAI, and agentic multi-agent frameworks to deliver end-to-end AI-powered applications. The role requires strong skills in both back-end and front-end development, expertise in prompt engineering, and hands-on experience with vector databases, orchestration frameworks, and cloud infrastructure.
Key Responsibilities
Required Skills
Strong proficiency in Python (data pipelines, AI integration), as well as back-end web frameworks (FastAPI, Flask, ).
Experience with RAG architectures, vector search technologies, and multimodal AI design.
This role is ideal for engineers passionate about building next-generation AI products that combine reasoning, retrieval, and autonomous agent workflows in real-world scenarios.
Deep understanding of LLM orchestration, agentic systems, and generative AI concepts.
Hands-on familiarity with prompt engineering, model evaluation, fine-tuning, and output optimization.
Knowledge of containerization & orchestration (Docker, Kubernetes), cloud platforms, and Loops best practices.
Preferred Skills
Qualifications
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Full Stack Engineer
Full time Only for registered members Sydney
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Full Stack Engineer
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Full Stack Engineer
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Full Stack Engineer
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Full Stack Engineer
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Full Stack Engineer
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Full Stack Engineer
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Full Stack Engineer
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Full Stack Engineer
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Full Stack Engineer
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Full Stack Engineer
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Full Stack Engineer
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Full Stack Engineer
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