Job Description
- Design, build, and iterate on AI-powered features — from prototype to production
- Develop and maintain LLM-based pipelines including RAG systems, agents, and prompt engineering frameworks
- Fine-tune, evaluate, and benchmark models for domain-specific tasks
- Build robust backend APIs and microservices that serve AI capabilities at scale
- Collaborate with product and design to translate AI capabilities into intuitive user experiences
- Integrate third-party AI services (OpenAI, Anthropic, Cohere, HuggingFace, etc.) and manage their trade-offs
- Instrument AI systems with monitoring, logging, and evaluation metrics to track quality over time
- Contribute to internal tooling, reusable components, and best practices for AI development
AI / ML:
LLM APIs & prompt engineering
RAG pipelines & vector databases
Model fine-tuning (LoRA, PEFT)
Evaluation frameworks & evals desi...