1 day ago
Base Salary
$126k - $189k/yr
Responsibilities
- Lead the architecture, development, and deployment of production-grade, multi-tenant agentic AI platforms and applications.
- Build full-stack AI platform components using Python, Java with Spring Boot, React, and microservices.
- Develop and optimize multi-agent workflows using ReAct, ReWOO, and Google's Agent Development Kit.
- Build MCP servers and decoupled integration layers that enforce controlled agent-to-API communication.
- Implement advanced RAG systems including GraphRAG, LightRAG, and RAPTOR hierarchical summary trees.
- Integrate graph and vector databases, including Neo4j and pgvector, for complex data retrieval.
- Design prompt instructions and intent-classification logic for precise, collision-free workflows.
- Work directly with business SMEs as a Forward Deployed Engineer to translate enterprise workflows into agent-driven software.
- Partner with UI and workflow developers to integrate backend agentic logic with user-facing systems and enterprise APIs.
- Mentor developers, guide technical strategy, and set standards for production code quality and architecture.
Requirements
- 10+ years of professional software engineering experience.
- 5+ years of AI/ML experience, including at least 2+ years focused on generative AI, LLMs, RAG, or agentic workflows.
- 3+ years of leadership experience managing technical teams and delivering complex software or AI solutions.
- Bachelor's or master's degree in Computer Science, Engineering, or a related technical field.
- Deep hands-on expertise in Python, LLM orchestration, prompt engineering, and agentic frameworks.
- Strong backend proficiency with Java and Spring Boot or Python and FastAPI, plus frontend proficiency with React.
- Experience integrating relational, graph, and vector databases such as Oracle, Neo4j, pgvector, Pinecone, or Milvus.
- Extensive hands-on experience with AWS services and infrastructure for AI/ML deployment and scaling.
- Ability to write production-grade code while mentoring junior developers and guiding technical direction.
- A strong portfolio demonstrating successful delivery of AI solutions in production business environments.
- Excellent communication skills for collaboration with business SMEs, UI developers, and platform stakeholders.
Benefits
- Hybrid work model with three days in the office and two days working remotely.
- Opportunity to lead agentic AI and LLM engineering at global scale with access to enterprise data and infrastructure.
- Continuous learning and technical development involving current AI frameworks, tools, and applied research.
- Collaborative global technology and AI community with opportunities to influence engineering direction.
- Medical, dental, and vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
- Paid vacation, sick leave, and holidays, with additional wellbeing and work-life balance support.
- Full-time Vice President-level role based in Irving, Texas.
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About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.