Entry - level AI Engineer at Bisnow using AI to enhance workflows and tools across various teams. Collaborating with senior leadership on practical AI applications for improved efficiency.
About the role
- AI Engineer designing and delivering production-grade AI solutions across public sector and enterprise clients. Focusing on Generative AI, Agentic AI, and collaboration with architects and engineers.
Responsibilities
- Deploy, fine-tune and monitor Generative AI models and Agentic AI systems for enterprise use cases.
- Develop and implement Retrieval-Augmented Generation (RAG) pipelines and advanced prompt and context engineering strategies.
- Design and implement multi-agent systems using orchestration frameworks such as CrewAI, Semantic Kernel or LangGraph.
- Integrate Agentic AI into business workflows and collaborate with data engineers to bring agentic capabilities to production.
- Implement LLM evaluation pipelines to assess output quality, accuracy and safety
- Apply responsible AI principles including fairness, transparency and auditability, particularly for regulated public sector environments.
- Apply AI safety, guardrails and output validation controls to ensure robust, compliant production deployments.
- Evaluate and recommend emerging GenAI tools and agentic frameworks for client applicability, driving innovation within the team.
Requirements
- 2+ years’ experience in AI engineering, software development or data science, with a strong recent focus on GenAI and LLMs.
- Hands-on experience with GenAI orchestration frameworks and cloud platforms, including Azure AI Foundry, CrewAI, LangChain, Semantic Kernel, Hugging Face and Azure ML Studio.
- Strong capability in prompt and context engineering, RAG pipeline design, and LLMOps, including tooling such as PromptFlow, LangSmith, prompt versioning and LLM cost management.
- Experience working with Azure data and analytics services, including Data Factory, Data Lake, Synapse Analytics and Azure SQL Database.
- Strong programming skills (Python, C# or similar), with experience using Azure DevOps/GitHub CI/CD, and working across the software development lifecycle, including access control, audit logging, documentation, knowledge transfer and training.
Benefits
- A collaborative and supportive environment in which you can grow and develop your career
- The tools and opportunity to do work you can be proud of
- A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience
- Hybrid working – we empower you to make smart choices about when and where to work to achieve great results
- Industry leading coaching and mentoring
- Competitive salary and an excellent benefits package
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