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We are a trusted recruitment partner dedicated to connecting exceptional talent with innovative organizations. On behalf of a technology-driven software company developing intelligent, data-powered solutions, we are seeking a skilled and forward-thinking Artificial Intelligence Engineer to design, build, and deploy AI models that drive real-world impact. This is a full-time hybrid role, offering a balance between on-site collaboration and remote flexibility.
About the Role
As an Artificial Intelligence Engineer, you will be responsible for transforming complex data into intelligent systems that power products and decision-making. You'll work closely with data scientists, software engineers, and product teams to develop scalable AI solutions and continuously improve model performance. This role is ideal for professionals passionate about machine learning, innovation, and applied AI.
Key Responsibilities
Qualifications
What's Offered
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If you are passionate about building intelligent systems and want to be part of a team shaping the future of AI-powered solutions, we invite you to apply and grow your career with a forward-looking technology organization.
Job ID: 152273099
Skills:
Json, Dynamics 365, Apis, Power Platform, Microsoft 365, Data Governance, embeddings, Privacy, vector databases, Security, LLM APIs, workflow automation, intelligent assistants, Teams, Microsoft Copilot, Access Control, Salesforce, LangChain, Generative AI, Anthropic, Semantic Kernel, Sharepoint, RAG, Azure AI, OpenAI, Copilot Studio
Skills:
Functions, Devops, Git, Storage, Python, Memory, Entra ID, tracing, tool function calling, multi-agent orchestration, Microsoft Foundry, Key Vault, Container Apps, Azure OpenAI, structured outputs, infrastructure-as-code, prompt response logging, Azure services, LLM application patterns, RAG, evaluation frameworks, AI Search, observability
Skills:
Apis, Sql, MLops, Python, LangChain, Generative AI, NoSQL databases, cloud platforms, containerisation, CI CD, prompt engineering, Distributed Applications, large-scale data processing, RAG architectures, ETL pipelines