Senior .NET AI Engineer: RAG, LLMs & Enterprise Apps

Nasdaq, Inc.; Sandy Springs (GA); Híbrido; USD 140.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

401(k) match

Employee stock purchase program

Life and disability plans

Generous paid time off

Health insurance

Hybrid home/office schedule

Parental leave

Fertility benefits

Bereavement leave

Education assistance

Descripción de la vacante

Nasdaq seeks a Senior AI Application Engineer to design, build, and scale AI-powered enterprise apps using C#/.NET, LLMs, and cloud-native tech. You’ll architect RAG-based solutions with embeddings and vector search, integrate AI via AWS Bedrock, and craft agentic workflows coordinating tools and server integrations.

You’ll partner with product and engineering to deliver scalable, observable AI systems that deliver measurable business value in a hybrid Atlanta, GA environment.

Formación

• Bachelor’s degree or equivalent in CS/engineering/AI or related field.
• 5+ years of professional software engineering experience with C#/.NET.
• Experience with RAG architectures, embeddings, vector DBs, and cloud AI platforms.

Responsabilidades

• Design, build, and maintain AI-powered enterprise apps using C#, .NET, and LLMs.
• Develop and optimize RAG solutions with embeddings and vector search.
• Integrate AI via AWS Bedrock or similar platforms with guardrails.
• Build conversational experiences and agentic workflows with MCP tools.
• Collaborate with product and engineering to enable scalable AI systems.

Conocimientos

C#/.NET

APIs

Cloud-native

LLMs

RAG architectures

Vector search

Agent workflows

MCP tools

Server integrations

Educación

Bachelor’s degree in Computer Science, Engineering, AI, or related field

Herramientas

AWS Bedrock

Descripción del empleo

Nasdaq seeks a Senior AI Application Engineer to design, build, and scale AI-powered enterprise apps using C#/.NET, LLMs, and cloud-native tech. You’ll architect RAG-based solutions with embeddings and vector search, integrate AI via AWS Bedrock, and craft agentic workflows coordinating tools and server integrations.

You’ll partner with product and engineering to deliver scalable, observable AI systems that deliver measurable business value in a hybrid Atlanta, GA environment.