Skillvue Tech Stack
AI-powered skills assessment platform for recruitment and workforce development
Skillvue builds AI-driven skills assessment agents for HR teams, deployed across recruitment, internal mobility, and performance management workflows. The tech stack—Python, R, AWS (SageMaker, Lambda, ECS, EKS), Bedrock, and RAG—shows a production-grade ML infrastructure focused on real-time inference; current project load (real-time conversational agents, LLM-based assessment platforms, RAG systems) and pain points (model monitoring, bias reduction, low-latency inference, cost optimization) reveal a company moving beyond prototypes into operational MLOps complexity. Senior-skewed hiring across research and sales suggests they're scaling both model sophistication and GTM capacity simultaneously.
Tech Stack 12 technologies
What Skillvue Is Building
◆Challenges
- Model monitoring
- Reducing bias in assessments
- Integrating assessments into production pipelines
- Cost/performance optimization
- Low-latency inference
- Entering new markets
- Expanding commercial channels
- Increasing project delivery capacity
- Digitalizing finance processes
- Compliance with funding guidelines
▲Active Projects
- Competency framework development
- Real-time conversational agent
- Operationalizing skill frameworks
- Assessment task design
- Llm-based assessment platform
- Building partnership function from scratch
- Operationalize skill frameworks and ai models into production pipelines
- Digitalization of finance processes
- Productionizing llms
- Rag systems
