Key skills
Agentic orchestration frameworksEnterprise system integrationMemory architectures for AIRetrieval-Augmented Generation (RAG)Large Language Model (LLM) fine-tuningDomain-optimized reasoning LLMsBackend service engineeringHuman-AI collaboration interfacesDistributed systems developmentMicroservices architectureMachine learningGenerative AIPythonJavaKafkaVector databasesReactive programming frameworksAIMLRAGAgenticCollaboration
About this role
Wisq is a company that believes HR can transform organizations and lives through innovative technology. They are seeking an Agentic AI Platform Engineer to tackle complex AI challenges, build orchestration frameworks, and design advanced memory architectures.
Responsibilities:
- Build no-code agentic orchestration frameworks that integrate seamlessly with enterprise systems
- Design pioneering memory architectures that overcome traditional RAG limits, giving agents persistent context across complex processes
- Train domain-optimized reasoning LLMs that unlock reasoning capabilities and reduce hallucinations for nuanced business scenarios
- Engineer scalable backend services that power intuitive UIs for seamless human-AI collaboration on documents and processes
Requirements:
- 5+ years developing distributed systems
- Implementing microservices
- Creating ML/generative AI solutions
- Academic excellence at a top CS program
- Standout performance in your cohort
- Versatile, brilliant engineers who thrive across the full spectrum of AI challenges
- Ability to build no-code agentic orchestration frameworks that integrate seamlessly with enterprise systems
- Design pioneering memory architectures that overcome traditional RAG limits
- Train domain-optimized reasoning LLMs
- Engineer scalable backend services that power intuitive UIs for seamless human-AI collaboration