Experience:

• 4+ years of software engineering experience
• At least 2 years building production LLM-powered applications

Responsibilities:

• 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 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

More skills:

Python, Retrieval-Augmented Generation (RAG), Query rewriting, Intent classification, Retrieval optimization, Prompt injection mitigation, Streaming AI APIs, Conversational AI, REST APIs, Asynchronous Python development, NVIDIA NIM, NeMo, NeMo Guardrails, NVIDIA Riva

Other:

• Excellent debugging, analytical and communication skills
• Strong English communication skills