Software Engineering - Distributed Agentic AI Systems
Core
Design, develop, and implement a software stack for distributed AI inferencing and workload offloading across private networks and closed PC clusters.
Role type
Senior IC distributed systems engineer (agentic AI)
Builds
Software stack for hardware proof-of-concepts (POCs) and workflow tests bridging agentic AI frameworks with OS, edge devices, and distributed networks.
Domain
Enterprise IT, Distributed Systems, Agentic AI, Edge Computing
Deliverable
production ML models | product features | infrastructure
Required skills
Distributed systems architecture, Systems programming (C++), Python, Linux/Windows OS administration, Edge device integration, Application & Network security (AppArmor, SELinux), Agentic AI frameworks (LangChain, LangGraph), Distributed computing & workload orchestration, LLM inferencing (Llama.cpp, vLLM)
Preferred skills
LLM fine-tuning, RAG, Model Context Protocol (MCP), Prompt engineering, Cloud administration, Network security certifications
Technologies
C++, Python, Linux, Windows, AppArmor, SELinux, LangChain, LangGraph, Llama.cpp, vLLM
Responsibilities
Architect distributed computing strategies for workload orchestration across client nodes, private servers, and cloud; Install and configure autonomous agents on Windows and Linux; Design security frameworks for application/network layers and data movement; Analyze system telemetry and computing bottlenecks during agent simulations; Contribute to technology strategy for distributed AI inference and edge deployment.
Seniority
Senior, hands-on IC
