Overview
Requirements: • Leadership & Ownership: Proven experience leading projects and mentoring engineers • Fullstack Engineering: Node.js backend, Vue frontend, API design & scaling • LLM APIs: OpenAI, Anthropic, Bedrock, Claude, LLaMA, Mistral, LlamaIndex • Prompt Engineering: few-shot, CoT, dynamic context, function/tool calling • RAG Pipelines: embeddings, chunking, hybrid retrieval • Vector DBs: Pinecone, Weaviate, FAISS, Qdrant • Agentic AI: multi-step workflows, tool usage, memory (LangChain, LangGraph, AutoGen) • Fine-Tuning: LoRA, QLoRA, PEFT, embedding-based adaptation • EVALs: hallucination detection, groundedness, BERTScore, BLEU, GPTScore • Data Layer: MongoDB, Firestore, ElasticSearch, Redis • Cloud & Deployment: GCP (preferred), AWS, or Azure; Docker/Kubernetes; CI/CD for AI workloads