Project Description:

Designed and developed production-grade LLM-powered enterprise applications using Python, LangChain, and Retrieval-Augmented Generation (RAG) architectures. Built end-to-end AI pipelines incorporating prompt engineering, query rewriting, intent classification, embeddings, vector databases, retrieval, reranking, and response synthesis to deliver accurate, low-latency responses.

Location: Bangalore or Pune

Responsibilities include:

Design and implement end-to-end LLM application pipelines using modern orchestration frameworks.
Own prompt engineering, model quality, RAG accuracy and AI safety across multiple AI applications.
Build and optimize multi-step LLM workflows including intent classification, query rewriting, retrieval, reranking and response synthesis.
Develop scalable Retrieval-Augmented Generation (RAG) systems with high retrieval precision and low latency.
Implement production-grade AI guardrails, jailbreak protection, prompt injection mitigation and hallucination reduction strategies.
Design automated evaluation pipelines for prompts,



retrieval quality and model performance.
Optimize latency, throughput and cost across complex LLM call chains.
Integrate NVIDIA AI technologies including NIM, NeMo, NeMo Guardrails and NVIDIA Riva.
Build streaming AI APIs and conversational experiences supporting multi-turn interactions.
Collaborate with platform, backend and product engineering teams to deliver enterprise AI solutions.
Monitor production AI systems, identify quality degradation and continuously improve model performance.

Requirements:

4+ years of software engineering experience.
At least 2 years building production LLM-powered applications.
Expert-level Python development.
Solid experience with LLM prompt engineering and prompt optimization.
Experience designing production RAG architectures.
Experience with LangChain, LlamaIndex or custom orchestration frameworks.
Strong understanding of embeddings, vector databases and retrieval

📌 6 AI Application Engineer (Bengaluru)
🏢 Customertimes
📍 Bengaluru