AT A GLANCE
AI Engineer building production-grade GenAI/LLM features with focus on RAG optimization, model tuning, and evaluation systems for sustainability tech platform
KEY SKILLS
PythonLLM orchestrationRAGPrompt engineeringFine-tuningLoRAVector databasesEvaluation frameworksMachine learningGenAISupervised fine-tuningBenchmarkingOpenAIAnthropic
WHAT YOU'LL DO
- Design and execute experiments to improve GenAI capabilities and optimize for user value, reliability, and cost-effectiveness
- Build robust multi-dimensional evaluation suites using LLM-as-a-judge, semantic checks, and unit tests
- Implement and tune advanced retrieval strategies including hybrid search, reranking, and agentic retrieval
- Optimize complex reasoning loops such as Chain-of-Thought and ReAct patterns
- Oversee supervised fine-tuning and Parameter-Efficient Fine-Tuning workflows
- Balance quality, cost, and latency by optimizing token usage and inference latency
- Move promising proof-of-concepts to production-ready, validated products