AI Architect/Engineer - Agentic AI & Domain Specialized Systems
RemoteIndia
Job Summary
Design and implement autonomous AI agent architectures with domain expertise, building multi-agent systems featuring role specialization, task decomposition, and orchestration. Architect RAG/CAG pipelines with vector databases to ensure consistent agent outputs while implementing memory systems, planning frameworks like ReAct, and tool-use capabilities. Lead the transition from cloud LLM APIs to custom fine-tuned models and build evaluation frameworks for performance monitoring. Work with domain experts to encode specialized knowledge into agent systems and design RESTful APIs for application platform integration.
Required Qualifications
- 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
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