Onsite Lead: Agentic GenAI Engineer

Citi; Irving (TX); On-site; USD 126,000 - 189,000; Full time

Benefits offered by this job

Medical coverage

Dental and vision coverage

401(k) plan

Life insurance

Disability insurance

Wellness programs

Paid time off

Job summary

Citi in Irving, TX is seeking a hands-on AI software professional to lead the design and delivery of GenAI and agentic AI capabilities for Citi's Controls Technology platform.

You will architect robust agentic applications on top of foundation models, applying context engineering, RAG, knowledge graphs, and multi-agent orchestration patterns. This is an onsite role with a strong focus on scalable deployment and governance.

Qualifications

• Deep expertise in foundation models, embeddings, tokenization, and context-window management.
• Proven history building RAG systems with multi-vector retrieval and prompt engineering.
• Experience designing knowledge graphs and Graph RAG architectures.
• Hands-on with Google ADK, LangGraph, CrewAI, and comparable frameworks.
• Strong Python skills and experience with API development and data preprocessing.

Responsibilities

• Collaborate with AI architects and stakeholders to design generative and agentic AI solutions.
• Architect context engineering strategies for reliability, provenance, and token efficiency.
• Develop advanced prompt engineering and RAG methods for production use cases.
• Build and optimize RAG systems with hybrid search and multi-vector retrieval.
• Design knowledge graphs and Graph RAG pipelines for multi-hop reasoning.
• Architect agentic workflows and multi-agent systems with ADK and related frameworks.
• Develop agent harnesses for governance, safety, and execution controls.
• Integrate agents with tools/data via MCP and promote inter-agent collaboration (A2A).
• Support production deployment, observability, and maintainability of GenAI apps.
• Mentor juniors and stay current with advances in generative AI and agentic tech.

Skills

Generative AI

Agentic AI

Python

NLP

Context engineering

RAG

Knowledge graphs

Multi-agent systems

API development

Cloud (AWS)

Education

Bachelor's or Master's in CS/Data Science/AI

Tools

OpenAI APIs

LangChain

LlamaIndex

Neo4j

ArangoDB

Google ADK

Kubernetes

Docker

CrewAI

LangGraph

Job description

Citi in Irving, TX is seeking a hands-on AI software professional to lead the design and delivery of GenAI and agentic AI capabilities for Citi's Controls Technology platform.

You will architect robust agentic applications on top of foundation models, applying context engineering, RAG, knowledge graphs, and multi-agent orchestration patterns. This is an onsite role with a strong focus on scalable deployment and governance.