AI Engineer – LLM / RAG / Agentic AI | Remote | 3+ Years We’re Hiring: AI Engineer

We are looking for an experienced AI Engineer with strong hands-on expertise in LLMs, RAG, Agentic AI, Python, vector databases, and document intelligence.

The ideal candidate will have experience building production-ready Generative AI applications, implementing LLM agents and retrieval pipelines, processing complex documents, and deploying AI solutions to cloud environments.

Job Details

Role: AI Engineer – LLM / RAG / Agentic AI
Experience: 3+ Years
Location: Remote (Preferred)
Contract Duration: 12+ Months (Long-Term Chance)
Work Timings: To be discussed

Key Responsibilities
- Design and implement LLM-powered agents with tool/function calling, dialogue state management, guardrails, and safety mechanisms.
- Build production-grade Retrieval-Augmented Generation (RAG) pipelines.
- Develop indexing, document chunking, embeddings, reranking, and hybrid retrieval solutions for high-precision AI responses.
- Ingest, parse, and process complex PDFs and enterprise documents.




- Implement document intelligence solutions using OCR and multimodal LLMs for text, image, table, and layout understanding.
- Design and continuously improve prompts, prompt templates, system instructions, and few-shot examples.
- Conduct A/B testing and automated evaluations of LLM applications.
- Measure and optimize AI application quality across grounding, hallucination, accuracy, latency, and cost.
- Integrate LLM applications with external tools, APIs, enterprise systems, and data sources.
- Implement integrations using Model Context Protocol (MCP) or similar frameworks.
- Deploy and monitor AI applications in AWS, Azure, or GCP environments.
- Implement appropriate logging, monitoring, and observability for production AI systems.
- Create and maintain project documentation, including requirements, technical designs, architecture documentation, and user guides.

Must-Have Skills & Experience
- 3+ years of

📌 AI Engineer (India)
🏢 Kasmoprav
📍 India