AI Solutions Engineer — Azure-powered Production AI

GO NET ZERO PTE. LTD.

High Street

On-site

GBP 88,000 - 123,000

Full time

14 days+

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Job summary

GoNetZero is seeking an AI Solutions Engineer to design, build, and deploy AI-powered applications, agents, and automation solutions. You will operate at the intersection of software engineering, AI, and business transformation, delivering production-ready solutions that boost operational efficiency and customer experiences.

Responsibilities include building copilots, orchestrating multi-agent workflows, and deploying AI solutions on Azure.

Qualifications

  • Proficiency in Python programming and building APIs/backend services.
  • Experience designing cloud-based applications and services for production use.
  • Hands-on experience with cloud platforms, especially Azure or equivalent.
  • Solid understanding of Large Language Models and Generative AI concepts.
  • Strong problem-solving abilities and stakeholder management skills.

Responsibilities

  • Build AI-powered applications, copilots, and autonomous agents.
  • Develop multi-agent systems and orchestration workflows.
  • Design and implement RAG solutions and knowledge-based AI apps.
  • Integrate AI solutions with enterprise systems and APIs.
  • Deploy and manage AI solutions on Azure and related platforms.
  • Prototype and evaluate emerging AI technologies and frameworks.
  • Translate business requirements into scalable, production-ready solutions.
  • Ensure reliability, security, governance, and performance of AI systems.

Skills

Python
APIs
Cloud platforms
LLMs
Stakeholder management

Tools

Azure
Azure OpenAI
LangChain
ADK
Semantic Kernel

Job description

GoNetZero is seeking an AI Solutions Engineer to design, build, and deploy AI-powered applications, agents, and automation solutions. You will operate at the intersection of software engineering, AI, and business transformation, delivering production-ready solutions that boost operational efficiency and customer experiences.

Responsibilities include building copilots, orchestrating multi-agent workflows, and deploying AI solutions on Azure.

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