Artificial Intelligence Engineer - RAG Development & Optimization

Job Title : AI Engineer - Agentic & RAG Systems(AI & Data Platforms)

Location : Remote,

Notice period : immediate to 30 days only can apply

• RAG Development & Optimization
• Chatbot Quality & Evaluation Frameworks
• Guardrails, Safety & Responsible AI. Multi-Agent Systems & Orchestration
• Design and implement Retrieval-Augmented Generation pipelines to ground LLMs in enterprise or domain-specific data.
• Make strategic decisions on chunking strategy, embedding models, and retrieval mechanisms to balance context precision, recall, and latency.
• Work with vector databases (Qdrant, Weaviate, pgvector, Pinecone) and embedding frameworks (OpenAI, Hugging Face, Instructor, etc.).
• Establish comprehensive evaluation frameworks for LLM applications, combining quantitative (BLEU, ROUGE, response time) and qualitative methods (human evaluation, LLM-as-a-judge, relevance, coherence, user satisfaction).
• Implement multi-layered guardrails across input validation, output filtering, prompt engineering, re-ranking, and abstention ("I don't know") strategies.
• Design and operate multi-agent workflows using orchestration frameworks such as LangGraph, AutoGen, CrewAI, or Haystack.
• Coordinate routing logic, task delegation, and parallel vs. sequential agent execution to handle complex reasoning or multi-step tasks.
• Strong proficiency in Python (FastAPI, Flask, asyncio) and GCP experience is good to have
• Demonstrated hands-on RAG implementation experience with specific tools, models, and evaluation metrics

(ref : hirist.tech)