AI Application Engineer

• 4–7 years of software engineering experience with at least 2 years focused on production LLM application development
• Expert-level experience with Python for AI/ML application development and async programming
• Strong expertise in prompt engineering including system prompts, few-shot prompting, and tuning instruction
• Hands-on experience with multi-step LLM orchestration frameworks such as LangChain or LlamaIndex
• Experience designing and optimizing RAG pipelines and retrieval systems
• Experience with vector databases, similarity search tuning, and reranking techniques
• Experience implementing AI safety and guardrails for customer-facing applications
• Strong knowledge of automated AI evaluation frameworks such as RAGAS or TruLens
• Experience profiling and optimizing latency in multi-step AI pipelines

Preferred Qualifications

• Experience with adaptive learning systems or recommendation engines
• Knowledge graph integration experience with RAG architectures
• Experience with multi-agent orchestration patterns
• ServiceNow API integration experience
  • Experience with streaming LLM response handling and real-time AI applications