Senior AI Agentic Engineer — Production Systems

TIAA

Woodbridge Township (NJ)

Vor Ort

USD 170.000 - 245.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

TIAA is seeking an Agentic Engineering Specialist to design and build the AI-driven backbone of our enterprise data estate. This hands-on role targets engineers who operate at the intersection of applied AI and production systems engineering.

You will ship intelligent agents and LLM-powered capabilities across a heterogeneous data landscape, from concept to production, ensuring scalable, cost-efficient, and reliable AI solutions.

Qualifikationen

  • 5+ years of Full Stack Development experience.
  • Experience with graph, vector, document, and relational databases.

Aufgaben

  • Design, build, and ship AI agents and agentic workflows into production environments.
  • Design systems that synthesize data across graph, document (MongoDB), and vector data sources into outputs.
  • Develop memory and context management strategies for LLM applications, including context window optimization.
  • Engineer agent iteration and self-correction loops that are reliable and bounded.
  • Build and optimize RAG architectures using LangChain and LangGraph.
  • Apply deep expertise in graph database query languages, data modeling, and performance tuning.
  • Design and implement agents using Agent Core or comparable frameworks.
  • Optimize prompt engineering and LLM interaction patterns for cost, latency, and quality.
  • Bring robust testing, CI/CD, and source control to AI system development.

Kenntnisse

Full Stack Development
Multiple databases

Ausbildung

University degree preferred

Tools

LangChain
LangGraph
Agent Core
MongoDB
Redis
OpenShift
Kubernetes

Jobbeschreibung

TIAA is seeking an Agentic Engineering Specialist to design and build the AI-driven backbone of our enterprise data estate. This hands-on role targets engineers who operate at the intersection of applied AI and production systems engineering.

You will ship intelligent agents and LLM-powered capabilities across a heterogeneous data landscape, from concept to production, ensuring scalable, cost-efficient, and reliable AI solutions.

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