Agentic Systems Engineer
Posted 20 Aug 2026
Advertised as “Senior Agentic Systems Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 6+ yrs
- Management level
- People management
- Employment
- Remote
- Contract
- Full-time
No salary listed for this role.
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 Agentic Systems Engineer 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 scalable backends, modern frontend components, and cloud 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 (planning, memory, multi-step reasoning, tool calling) and build robust backends with clean APIs for React/Web frontends.
-
Optimize the SDLC (Layer 1): Design agentic workflows to assist with coding, testing, and CI/CD across our 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 modern Cloud infrastructure.