Inteelabs is seeking a Senior GenAI Software Solutions Engineer for a hybrid role in Penang, Malaysia. The ideal candidate will have extensive experience in AI systems engineering, particularly in developing and optimizing AI agents for diverse environments
Job Summary
Architect, build, and optimize AI agents that run seamlessly across device and cloud environments.
Leverage and extend MCP services to enable flexible orchestration, tool integration, and agent coordination.
Ensure model safety, sandboxing, data governance, and secure execution across device and cloud.
Matching Summary
Match Score: 85
Inteelabs is seeking a Senior GenAI Software Solutions Engineer for a hybrid role in Penang, Malaysia. The ideal candidate will have extensive experience in AI systems engineering, particularly in developing and optimizing AI agents for diverse environments.
Skills & Requirements
Must-have
AI systems engineering
integrating multiple models and runtimes
building secure, scalable, efficient AI solutions
hybrid AI agent development
MCP service integration
agentic routing and planning
model runtime engineering
Nice-to-have
RAG pipelines and vector databases
optimizing GenAI for edge devices
local LLMs and fine-tuning
customer/partner support for GenAI
LangChain, LlamaIndex, AutoGen, HuggingFace
UX/UI or prompt engineering
Key Requirements
5+ years hands-on experience on AI/ML algorithm development
2+ years of hands-on experience in NLP, LLM-based systems, or AI agent development
Deep expertise in GenAI algorithms, solution architecture, and performance tuning
Proven experience building custom AI tools, agents, or apps
Strong Python or C++ skills
Excellent problem-solving skills
Familiarity with client AI tools, cross-platform agents, or plugin ecosystems