Senior AI Engineer — LLM Agents
PatSnapIP & company
Singapore, SingaporeSenior
SoftBank Vision Fund 2
Summit Partners
Tencent Investment
Sequoia China
Vertex Ventures
Shunwei Capital
Data & AI
About the role
TL;DR
Senior AI Engineer to own LLM agentic systems for materials science R&D.
- •Patsnap's Materials team builds AI systems for R&D scientists and engineers.
- •You will own the agentic layer of our products, including LLM-powered agents, tools, and evaluation frameworks.
- •Key Responsibilities Design, build, and productionize agentic systems for materials science search, Q&A, and information extraction.
- •Develop, integrate, and maintain memory systems, MCP servers, and agent skills in a multi-agent environment.
- •Build evaluation frameworks with domain experts to measure answer quality, extraction accuracy, and retrieval performance.
- •Own production reliability and observability of agents.
- •Advise adjacent teams on agentic and search system design.
- •Requirements 5+ years of software/ML engineering, including 2+ years building LLM-based systems in production.
- •Experience designing evaluations for LLM/agent systems.
- •Experience instrumenting, monitoring, and debugging live AI services.
- •Strong Python skills; able to independently build and deploy services.
Required skills
PythonLLMsLangChainDockerKubernetesCI/CDGitHub ActionsDatadogGitLinuxJiraREST API
Nice-to-have skills
ElasticsearchOpenAI API
Tech stack
PythonLLMsOpenAI APILangChainElasticsearchDockerKubernetesCI/CDGitHub ActionsJenkinsGitLab CICircleCIAnsibleChefPuppetPrometheusGrafanaDatadogNew RelicPagerDutyNginxHAProxyGitLinuxJiraConfluencePostmanSwaggerOpenAPIREST API