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CareCone Group · Sydney, New South Wales, Australia

AI Engineer (AWS)

seniorfull timePosted 6 days ago
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Role: AI Engineer (AWS)

Location: Sydney

Fulltime (Permanent)

Job Description

Role Overview

- We are looking for a skilled Agentic AI Engineer with hands on experience in designing and delivering production grade Agentic AI solutions.

- The ideal candidate should have strong expertise in Python, LangGraph, LLM orchestration, prompt engineering, and tool/API integration.

- Experience with AWS platform engineering and cloud native application development is highly desirable.

Key Responsibilities

- Design, develop, and deploy enterprise scale Agentic AI applications and multi agent workflows.

- Build AI agents using LangGraph, LLM frameworks, and advanced orchestration patterns.

- Implement prompt engineering, guardrails, evaluation frameworks, and agent memory/reasoning capabilities.

- Integrate AI agents with enterprise APIs, databases, external tools, and business applications.

- Develop RAG based solutions leveraging vector databases and knowledge repositories.

- Collaborate with platform, DevOps, and architecture teams to ensure scalable, secure, and production ready deployments.

- Contribute to AI platform engineering, monitoring, observability, and CI/CD practices.

Required Skills

- Strong Python development experience.

- Hands on experience with LangGraph and LLM orchestration frameworks.

- Expertise in Agentic AI, Generative AI, multi agent systems, and AI workflow design.

- Advanced prompt engineering and model evaluation techniques.

- Experience with REST APIs, tool integrations, and enterprise application connectivity.

- Knowledge of RAG architectures, embeddings, and vector databases.

- Strong understanding of software engineering best practices and cloud native development.

Preferred Skills

- AWS (Bedrock, Lambda, EKS/ECS, API Gateway, S3, Terraform).

- Docker, Kubernetes, MLOps, and CI/CD pipelines.

- Experience with LangChain, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.

- Exposure to enterprise AI governance, observability, and security frameworks.

Qualification

- Bachelor's/Master's degree in Computer Science, AI, Data Science, or related field.

- Proven experience delivering AI/GenAI solutions in production environments.

- Priority Skills: Python, LangGraph, Agentic AI, LLM Orchestration, Prompt Engineering, Tool/API Integration, RAG, AWS Platform Engineering.

Interested Candidates can share their updated resumes on [email protected] or can reach me on +61 251 103 879

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