LLM / GenAI Engineer
Scale.jobs
Location
🇺🇸 United States
Type
full_time
Salary
Undisclosed
Posted
3w ago
Job Description
About The Role
The role
is for someone who has moved beyond prompting and understands what it takes to build production-grade AI systems: RAG pipelines, agentic workflows, fine-tuning pipelines, and systematic evaluation frameworks. You will own complex pieces of an AI platform and work directly with applied scientists, backend engineers, and enterprise clients.
Key Responsibilities
- Design and implement RAG pipelines using LangChain, LlamaIndex, or custom architectures
- Build and optimize vector database integrations (Pinecone, Weaviate, Chroma, pgvector) for semantic search at production scale
- Develop systematic LLM evaluation frameworks: benchmark suites, LLM-as-judge pipelines, regression testing
- Run instruction fine-tuning and parameter-efficient fine-tuning (LoRA, QLoRA) on domain-specific datasets
- Write observable, tested, and well-documented code; participate in architecture reviews
What We Are Looking For
- 2–5 years of software engineering experience, including at least 1 year working with LLMs in production
- Deep familiarity with at least one LLM orchestration framework: LangChain, LlamaIndex, or equivalent