Skills : Python, PyTorch, Rest Api,
A more explicitly AI-focused variant of the FDE role, emphasizing model integration and applied ML over general software delivery. Focuses on adapting foundation models, RAG systems, and agentic workflows to a specific customer's data and use case, often at frontier AI labs.
Job Description:
A more explicitly AI-focused variant of the FDE role, emphasizing model integration and applied ML over general software delivery. Focuses on adapting foundation models, RAG systems, and agentic workflows to a specific customer's data and use case, often at frontier AI labs.
Key Skills:
- Applied LLM engineering: fine-tuning, prompt optimization, retrieval architectures
- Vector databases (Pinecone, Weaviate, pgvector)
- Python, ML frameworks (PyTorch), API integration
- Evaluation and observability tooling for LLM systems
- Client-facing technical communication
Experience Required:
- 3–7 years in ML/AI engineering or applied AI roles
- Direct experience deploying LLM-based products to real users/customers
- Comfort working with ambiguous, evolving specs