Software Engineer
Core
Build AI-powered software for industrial networking, security, observability, and edge computing using LLMs, agents, and ML models.
Role type
AI-native software engineer (industrial IoT)
Builds
AI applications, agents, and edge AI models for industrial switching, routing, and security
Domain
Industrial IoT, Networking, AI/ML
Deliverable
production ML models
Required skills
Python, C/C++/Go/Java, Data Structures & Algorithms, LLM/Agent Development, Model Integration & Evaluation, AI Coding Agents, Networking Protocols (TCP/IP)
Preferred skills
SLM adaptation (fine-tuning, LoRA, quantization), On-device inference (TensorFlow Lite, llama.cpp), RAG/MCP/Agent Orchestration, Open-source AI contributions
Technologies
PyTorch, TensorFlow, Hugging Face, LangGraph, LLMs, SLMs, RAG, MCP
Responsibilities
Develop and evaluate industrial applications and agentic workflows using LLMs and SLMs; Apply AI to network operations, troubleshooting, and threat detection; Fine-tune and deploy ML models on edge platforms; Use coding agents for design, implementation, and debugging.
Seniority
Mid-level (1-3 years experience)
