Senior AI Application Engineer
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Role details
Tech stack
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Job description
- Design and build enterprise LLM applications
- Develop scalable RAG pipelines and evaluation frameworks
- Optimize prompt engineering, retrieval quality, and model accuracy
- Implement AI safety, guardrails, hallucination detection, and security controls
- Build multi-step LLM orchestration workflows
- Improve latency, scalability, and production reliability
- Collaborate with product, platform, and engineering teams to deliver AI-powered solutions
Why Join?
- Build next-generation enterprise AI products
- Work on LLMs, RAG, Multi-Agent AI, and Generative AI technologies
- Solve challenging AI quality, safety, and scalability problems
- Collaborate with experienced AI engineers and product leaders
- Opportunity to shape production AI systems used by real customers
Pay: $150,000.00 - $170,000.00 per year
Requirements
We are seeking a Senior AI Application Engineer with deep expertise in LLMs, RAG, Prompt Engineering, AI Safety, and Production AI Systems. You will build and own enterprise-grade AI applications that power intelligent learning experiences, conversational AI, adaptive recommendation engines, and multi-modal AI solutions. This is a production engineering role focused on building reliable, scalable, and secure AI products-not research or proof-of-concepts., * 10+ years of overall software engineering experience
- 2+ years building production-grade LLM applications
- Strong expertise in Python
- Hands-on experience with RAG (Retrieval-Augmented Generation)
- Prompt Engineering and LLM optimization
- LangChain, LlamaIndex, or custom orchestration frameworks
- AI Safety, Guardrails, Prompt Injection & Jailbreak Prevention
- RAG Evaluation Frameworks (RAGAS, TruLens, or equivalent)
- Vector Databases, Embeddings, and Semantic Search
- Production AI monitoring, evaluation, and optimization
- API development and AI service deployment
Preferred Skills
- NVIDIA AI ecosystem
- NeMo Guardrails
- Knowledge Graphs
- Multi-Agent AI Systems
- Adaptive Learning Platforms
- ServiceNow API Integration
- Hybrid Search (BM25 + Vector Search), * production LLM applications: 1 year (Preferred)
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