As a Senior Software Engineer – AI & Platform Systems, you will design, build, and deploy intelligent, data-driven web platforms that integrate modern AI capabilities into scalable, maintainable solutions. You will operate as a senior technical contributor, owning solution architecture at the project level while collaborating closely with architects, product leaders, and cross-capability teams.

You will help translate AI strategy into working systems—supporting experimentation, production deployment, and ongoing optimization—while maintaining high engineering standards and mentoring peers.

• Proven experience delivering production-grade web applications in small, cross-functional teams (agency or consultancy experience preferred
• Strong experience with Java, .NET/C#, or Python including: o Web services (RESTful APIs) | o Server-side frameworks (JSP, ASP.NET, or equivalents)
• Deployment and maintenance in server and cloud environments
• Solid understanding of modern AI-enabled architectures, including: o Consuming Large Language Models (LLMs) and AI APIs including MCP
• Retrieval-augmented generation (RAG) concepts and vector search integration o Prompt-based interaction and tool-using AI workflows.
• Experience integrating relational databases and designing data schemas to support web and AI-driven solutions
• Strong knowledge of HTML, CSS, and advanced JavaScript, including DOM manipulation, Ajax, and modern JS patterns
• Experience working with Content Management Systems (CMS) and digital platforms | Proficiency in XML / JSON and their role in distributed systems
• Solid understanding of object-oriented design, design patterns, and MVC architectures | Experience with cloud-based deployment (AWS, Azure, or GCP preferred)
• Working knowledge of web server and application server administration (Apache, Tomcat, IIS, Node, etc.)
• Strong SQL skills and understanding of relational data models
• Experience with testing methodologies, including unit, integration, and test-driven development
• Familiarity with web security practices, including SSL, authentication, and authorization | Experience building accessible, standards-compliant web applications
• Strong understanding of the current state of AI models, tools, Retrieval Augmented Generation, and Django/python
• Nice to have: Experience with Python-based services supporting AI or data pipelines | Hands-on experience with prompt engineering, AI agents, or orchestration frameworks | Familiarity with vector databases and embeddings | Experience working alongside data science or ML teams | Exposure to AI governance concepts such as bias awareness, explainability, or human-in-the-loop systems | Comfort using generative AI tools (e.g., ChatGPT, Gemini, Claude) for development, ideation, or research.