AI Architect/Engineer - Agentic AI & Domain Specialized Systems

We're seeking a hands-on AI Architect/Engineer to design and implement autonomous AI agents with specialized domain knowledge. You'll build production-grade agentic systems from prototype to scale, working with LLMs, implementing RAG/CAG pipelines, and eventually fine tuning custom models Key Responsibilities Design and implement autonomous AI agent architectures with domain expertise and reasoning capabilities Build multi-agent systems with role specialization, task decomposition, and orchestration Architect RAG/CAG pipelines with vector databases for consistent agent outputs Implement agent memory systems, planning frameworks (ReAct, Plan-and-Execute), and tool-use capabilities Design RESTful APIs for integration with application platforms Build evaluation frameworks and monitoring for agent performance and reliability Lead transition from cloud LLM APIs to custom fine-tuned models Work with domain experts to encode specialized knowledge into agent systems Required Skills AI/ML Expertise Deep understanding of LLMs, transformer architectures, and NLP Proven experience building autonomous agents with planning, reasoning, and tool-use Hands-on with agent frameworks: LangGraph, LangChain, AutoGen, CrewAI Expert-level prompt engineering: few-shot, chain-of-thought, ReAct patterns Production RAG systems with vector databases (Pinecone, Weaviate, Qdrant, Chroma,FAISS) Extensive experience with Claude, OpenAI GPT-4 APIs, function calling, structured outputs Vector embeddings, semantic search, similarity metrics, retrieval strategies Understanding of fine-tuning, RLHF, LoRA, QLoRA, domain-specific model adaptation