# Full Stack Engineer 5 - Global Workforce Services - AI Automation at Capital One

Capital One is hiring a Full Stack Engineer 5 - Global Workforce Services - AI Automation. Level rates it Builds AI ●●●●; you can [apply on Level](https://jobsbylevel.com/go/12915612-149f-4d23-b30a-28c5d17b8042?utm_medium=ai-agent).

AI Level 4, AI centrality 90 out of 100. Richmond, VA.

## Details

- Company: [Capital One](https://jobsbylevel.com/companies/capital-one)
- AI level: AI Level 4 (score 90 out of 100)
- Location: Richmond, VA
- Posted: October 19, 2026
- Apply: https://jobsbylevel.com/go/12915612-149f-4d23-b30a-28c5d17b8042?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/full-stack-engineer-5-global-workforce-services-ai-automation-at-capital-one-633eea

## Description

Full Stack Engineer 5 - Global Workforce Services - AI Automation Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Software Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. At Global Workforce Services , we are the engineering team powering Capital One’s enterprise facilities and physical security across a hybrid landscape of SaaS, COTS and custom applications. Supporting a +10,000 device IoT footprint that impacts thousands of associates and customers daily, we are transforming how we manage IoT and deliver software using state of the art AI, autonomous agents and RAG pipelines. What You’ll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Frontend Development: Architect performant, responsive web interfaces and real-time streaming AI chat/agent interfaces using modern frameworks (Next.js, React, TypeScript, Tailwind CSS). Backend Systems & APIs : Build resilient, high-throughput microservices and APIs (Python/FastAPI, Node.js/TypeScript) with support for Server-Sent Events (SSE) and WebSockets for real-time AI responses. System Integration: Integrate AI agent capabilities into core enterprise systems, databases, third-party APIs, and legacy software via tool-calling and function-calling paradigms. Architect and integrate heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Provide technical leadership across multiple teams, shaping system architecture and long-term technology direction Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirements Partner with architects and product leaders to define platform roadmaps and shared services strategy Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience in software engineering (Internship experience does not apply) At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies Preferred Qualifications: Master’s Degree in Computer Science or a related field +2 years experience building production RAG pipelines (chunking, embeddings, vector indexing, graph RAG, or fine-tuning). +2 years experience leveraging Agentic patterns (Tool Calling, ReAct loops, Plan-and-Execute, Multi-Agent Collaboration). +2 years with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel) and model APIs (OpenAI, Anthropic, Bedrock, Ollama, Hugging Face). +2 year experience in building agentic AI systems and agentic workflows +2 year experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang +2 years Experience right-sizing models, instance counts, and hardware

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/full-stack-engineer-5-global-workforce-services-ai-automation-at-capital-one-633eea

Source: https://jobsbylevel.com/jobs/full-stack-engineer-5-global-workforce-services-ai-automation-at-capital-one-633eea

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