Mobile Wave Solutions is a professional services company specializing in software development as a service. With a team of over 120 engineers, we deliver scalable, high-quality software that empowers our global clients to innovate and grow. We value collaboration, technical excellence, and a pragmatic approach to solving complex problems. About the Role We’re looking for a Senior AI Engineer (C# / .NET) to lead the design, development, and operation of cutting-edge agentic AI systems across a modern, cloud-based platform. In this role, you will connect internal developer productivity, enterprise intelligence, and user-facing products. This is a hands-on technical leadership role where you will lead by example through daily coding, architectural design, and mentorship. You will set the technical direction across a .NET backend, React frontend, and GCP infrastructure, driving the company's AI strategy across three distinct layers: Layer 1 (Engineering): Using AI agents to help our team build and test software faster. Layer 2 (Company Brain): Unifying internal company data and tools into a single shared intelligence. Layer 3 (Customer Features): Shipping predictive, data-driven AI features directly to our external users. Key Responsibilities Build Agent Architecture : Lead the design of agent architectures in .NET/C# (planning, memory, multi-step reasoning) and build ASP.NET Core backends with clean APIs for a React frontend. Optimize the SDLC (Layer 1): Design agentic workflows to assist with coding, testing, and CI/CD across our .NET and React codebases; standardize internal AI developer tools. Connect Enterprise Data (Layer 2): Build robust data ingestion, retrieval (RAG), and memory layers over internal systems. Design secure integrations (tool calling, MCP servers) so agents can take action across internal tools. Deliver Customer Intelligence (Layer 3): Ship safe, customer-facing predictive features using customer data as context. Ensure strict data isolation, privacy, and multi-tenant security boundaries. Set Standards & Cloud Practices : Establish org-wide standards for deploying, monitoring, and cost-optimizing agentic systems on Google Cloud Platform (GCP). Mentor & Guide : Conduct technical reviews, make high-level decisions on model selection, and grow the engineering team's agentic systems expertise. Qualifications 6+ years of software engineering experience, with strong proficiency in C# and the .NET ecosystem (.NET 8+, ASP.NET Core). 2+ years of hands-on experience building production applications with LLMs , including advanced prompt engineering and tool/function calling. Demonstrated experience shipping agentic or complex LLM systems at scale, including solid knowledge of RAG , vector databases , and context management . Experience using AI agents within the software development lifecycle and familiarity with .NET-native AI tooling (e.g., Semantic Kernel, Microsoft.Extensions.AI ). Solid experience with Google Cloud Platform (GCP) (GKE, Cloud Run, Pub/Sub, Cloud Storage, etc.). Expert grasp of API design, distributed systems, asynchronous programming, and multi-tenant security isolation. Great communication skills, a collaborative mentoring mindset, and a strong sense of ownership. Advantages: Experience with Vertex AI and the broader GCP AI/ML ecosystem. Familiarity with cross-language interop (where parts of the AI ecosystem are Python-based). Knowledge of LLM observability/evaluation tools (Cloud Monitoring, OpenTelemetry) and AI safety practices. Our Benefits Remote or Hybrid Work Options Private Health Insurance, including dental care Additional Holidays after your 1st and 5th year Sponsored Training & Certifications Employee Referral Bonuses Multisport Card – fully covered Fun Office Space with relaxation zones and free parking