Production AI Engineer — LLMs, RAG & Agentic Workflows (Hybrid)

Nasdaq; Atlanta (GA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

401(k) match

Employee Stock Purchase Program

Student loan repayment

Life and disability plans

Generous paid time off

Job summary

Nasdaq in Atlanta is seeking an AI Engineer to design and deliver secure, scalable AI-enabled applications for enterprise use. You will apply LLMs, RAG, vector search, and agentic workflows to improve search, automation, and decision‑making across the business.

This hands‑on role emphasizes production‑grade software rather than training models, with collaboration across product, architecture, and engineering teams to build observable, reliable AI systems.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or equivalent practical experience.
• 5+ years of software engineering experience building AI or LLM-enabled applications in production.
• Strong hands-on experience with RAG architectures, embeddings, vector databases, semantic search, and cloud AI platforms such as AWS Bedrock.
• Experience designing agentic workflows, integrating MCP tools and servers, and building AI experiences for chat or conversational UIs.
• Strong programming and system design skills in .NET or Java with experience building APIs and cloud-native backend services.

Responsibilities

• Design and build AI-powered applications that use LLMs to improve user workflows, search, automation, and decision support.
• Develop and optimize RAG-based solutions using enterprise data, embeddings, and vector search to enable relevant, context-aware experiences.
• Integrate AI capabilities through AWS Bedrock or similar platforms, including prompt engineering, guardrails, and safety controls that improve quality and reliability.
• Build conversational and agentic experiences that coordinate tools, functions, and multi-step reasoning, including MCP tools, functions, and server integrations.
• Partner with product, architecture, and engineering teams to deliver scalable, maintainable AI systems and establish strong evaluation, observability, and monitoring practices.

Skills

LLM applications

Software engineering

API design

Cloud services

System design

Education

Bachelor's degree

Tools

AWS Bedrock

Vector databases

LangChain

MCP tools

Job description

Nasdaq in Atlanta is seeking an AI Engineer to design and deliver secure, scalable AI-enabled applications for enterprise use. You will apply LLMs, RAG, vector search, and agentic workflows to improve search, automation, and decision‑making across the business.

This hands‑on role emphasizes production‑grade software rather than training models, with collaboration across product, architecture, and engineering teams to build observable, reliable AI systems.