Generative AI Engineer (AVP) — Production AI Platforms

Socket.dev; Irving (TX); On-site; USD 107,000 - 161,000; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k)

Life, accident, and disability保险

Wellness programs

Paid time off and holidays

Incentive and retention awards

Job summary

Citi is seeking a Generative AI Engineer (AVP) in Irving, TX to build and scale production components of an enterprise AI platform that supports the software delivery lifecycle. This hands-on role focuses on delivering robust, production-grade systems rather than prototypes.

You will implement multi-agent workflows, integrate Gemini and Claude, connect agents to enterprise tools, and develop observable services with Python, FastAPI, and PostgreSQL in a secure, regulated environment.

Qualifications

• 3–7 years of hands-on software engineering experience with a track record of shipping production software.
• Strong CS fundamentals across data structures, algorithms, OS, networking, and relational DB design/optimization.
• Advanced Python (async, typing, dependency management) and solid software engineering practices (clean code, testing, CI/CD).
• Hands-on experience with LLM application development (prompt engineering, tool calling, structured outputs) and multi-agent frameworks.
• Practical RAG pipeline experience using vector databases and embedding-based retrieval; familiarity with evaluation methods for LLM/agent outputs.
• Experience integrating AI systems with external tools via structured interfaces (e.g., MCP); knowledge of Docker and Kubernetes/OpenShift.

Responsibilities

• Build and maintain production AI agents covering product analysis, requirements capture, UI prototyping, backlog generation, and automated code implementation with PR creation.
• Implement multi-agent workflows using Google ADK, including sub-agent orchestration and A2A messaging.
• Integrate Gemini and Anthropic Claude into agent pipelines via enterprise gateways with advanced prompt engineering.
• Connect agents to enterprise systems (Engineering docs, JIRA, GitHub) using MCP-style tool interfaces.
• Build RAG pipelines with vector search, embeddings, and clustering to ground agent responses.

Skills

CS fundamentals

Advanced Python

LLM development

Multi-agent workflows

RAG pipelines

Docker/Kubernetes

Education

Bachelor's degree in Computer Science

Tools

Docker

Kubernetes/OpenShift

Job description

Citi is seeking a Generative AI Engineer (AVP) in Irving, TX to build and scale production components of an enterprise AI platform that supports the software delivery lifecycle. This hands-on role focuses on delivering robust, production-grade systems rather than prototypes.

You will implement multi-agent workflows, integrate Gemini and Claude, connect agents to enterprise tools, and develop observable services with Python, FastAPI, and PostgreSQL in a secure, regulated environment.