Senior .NET AI Applications Engineer

Nasdaq

Atlanta (GA)

Hybrid

USD 140,000 - 190,000

Full time

8 days ago
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Benefits offered by this job

401(k) with match
Employee Stock Purchase Program
Paid time off
Healthcare benefits

Job summary

Nasdaq in Atlanta, GA is seeking a Senior AI Engineer with a .NET background to design and deliver secure, scalable AI-powered applications for enterprise environments. This hands-on role focuses on applying modern AI capabilities to real business problems, not training foundational models.

You will work with LLMs, RAG, vector search, and agentic workflows, building production-ready software, APIs, and cloud-native services, while ensuring security, observability, and reliability in a hybrid

Qualifications

  • Bachelor's degree in a technical field or equivalent practical experience.
  • 5+ years of software engineering, with production AI or LLM-enabled apps.
  • Strong API design and cloud-native backend experience using .NET or Java.

Responsibilities

  • Design and build AI-powered applications using LLMs to improve workflows and decision support.
  • Develop and optimize RAG-based solutions with embeddings and vector search.
  • Integrate AI capabilities via platforms like AWS Bedrock, with safety and guardrails.
  • Create agentic experiences coordinating tools and multi-step reasoning.
  • Collaborate with product and engineering to deliver scalable, observable AI systems.

Skills

DotNet
Java
APIs
Cloud-native
LLM integration

Education

Bachelor's degree or equivalent

Tools

AWS Bedrock
Vector databases
Embeddings
RAG architectures
MCP tools

Job description

Nasdaq in Atlanta, GA is seeking a Senior AI Engineer with a .NET background to design and deliver secure, scalable AI-powered applications for enterprise environments. This hands-on role focuses on applying modern AI capabilities to real business problems, not training foundational models.

You will work with LLMs, RAG, vector search, and agentic workflows, building production-ready software, APIs, and cloud-native services, while ensuring security, observability, and reliability in a hybrid

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