AI Agent Engineer (Sydney)

AI Agent Engineer (Sydney)

27 Aug
|
IMPROVE PRETERM
|
Sydney

27 Aug

IMPROVE PRETERM

Sydney

? We’re Hiring: AI Agent Engineer

? Employment Type: Full-Time

? Level: Entry-Level to Mid-Level

We are seeking a highly motivated, innovative, and technically skilled AI Agent Engineer to join our growing AI engineering team. This role is ideal for individuals passionate about generative AI, autonomous agents, LLMs, workflow automation, and building intelligent systems that can reason, use tools, interact with external systems, and complete complex tasks.

? Key Responsibilities

• Design, develop, and deploy intelligent AI agents powered by Large Language Models (LLMs).

• Build multi-step agent workflows capable of planning, reasoning, tool use, and task execution.

• Integrate LLMs with APIs, databases, search systems, enterprise applications, and external tools.

• Develop agent architectures using function calling, tool calling, structured outputs, and workflow orchestration.

• Build Retrieval-Augmented Generation (RAG) systems and knowledge-based AI agents.

• Design memory, context management, state management, and agent interaction mechanisms.

• Develop and optimize prompts, system instructions, workflows, and agent behaviors.

• Evaluate agent performance, reliability, accuracy, latency, and cost.

• Build testing and evaluation frameworks for AI agent applications.

• Implement guardrails, validation mechanisms, monitoring, and error-handling workflows.

• Debug and improve agent reasoning, tool execution, and task completion performance.

• Integrate AI agents with backend services, databases, cloud platforms, and business applications.

• Optimize AI systems for scalability, performance, reliability, and production deployment.

• Collaborate with software engineers, LLM engineers, data scientists, product managers, and business teams.

• Research emerging agentic AI frameworks, models, architectures, and industry best practices.

• Maintain technical documentation covering agent architecture, workflows, tools, prompts, evaluations, and deployment processes.

✅ Requirements





• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related field is preferred.

• Experience with LLMs, generative AI, AI agents, NLP, or software engineering is an advantage.

• Strong programming skills in Python or another modern programming language.

• Strong understanding of LLM concepts, APIs, prompt engineering, embeddings, and model inference.

• Experience with agent frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, or similar technologies is an advantage.

• Familiarity with RAG, vector databases, semantic search, embeddings, and knowledge retrieval systems.

• Experience integrating APIs, databases, external tools, and enterprise systems with AI applications.

• Understanding of REST APIs, Git, cloud platforms, databases, and software development practices.

• Knowledge of AI evaluation, observability, guardrails, and responsible AI practices is a plus.

• Strong analytical, debugging, experimentation, and problem-solving skills.

• Ability to design reliable workflows for complex, multi-step tasks.

• Strong communication and collaboration skills.

• Positive written and verbal communication skills in English.

• Strong interest in autonomous AI systems, agentic workflows, and emerging AI technologies.

? What We Offer

• Hands-on experience building real-world AI agents and autonomous AI systems.

• Opportunities to work with cutting-edge LLMs, agent frameworks, RAG systems, and AI infrastructure.

• Exposure to AI automation, intelligent workflows, tool-using agents, and enterprise AI applications.

• Career progression into Senior AI Agent Engineer, LLM Engineer, AI Solutions Architect, AI Engineer, or AI Technical Lead roles.

• Training, mentorship, and continuous technical development.

• Opportunities to collaborate with experienced AI and software engineering professionals.

• Dynamic, innovative, and fast-growing AI-focused working environment.

- • Competitive compensation with performance-based incentives.

📌 AI Agent Engineer (Sydney)
🏢 IMPROVE PRETERM
📍 Sydney

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