Related skills
python pytorch langchain llamaindex hugging face📋 Description
- Architect and lead AI systems for multi-agent orchestration, RAG pipelines, and LLM infra
- Own end-to-end delivery of AI features from conception to production
- Drive tech direction for AI platform components; establish patterns and best practices
- Build high-scale data pipelines processing millions of records; manage embeddings
- Mentor SDE-II and junior engineers through code reviews and pairing
- Lead evaluation and safety initiatives: robust eval frameworks, guardrails, AI quality at scale
🎯 Requirements
- 5+ years software engineering experience with 2+ years building production LLM/GenAI systems at scale
- Expert-level Python skills including async programming, performance optimization, and production-grade testing
- Deep hands-on experience with ML/LLM frameworks: PyTorch, Hugging Face, LangChain, LlamaIndex, or Ray
- Proven experience building and scaling vector search systems: Elasticsearch, Pinecone, Weaviate, FAISS
- Strong system design skills: microservices, distributed systems, event-driven architectures (Kafka/SQS/Kinesis)
- Production experience with Kubernetes, Docker, and cloud infrastructure (AWS preferred)
🎁 Benefits
- Impactful AI-driven software shaping how sellers operate
- Collaborative culture with growth opportunities
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