Full Stack Engineer 4- People Tech- GenAI & Agentic Systems (LangChain, LangGraph)

Capital One; Chicago (IL); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One in Chicago is seeking a Full Stack Engineer 4 to lead and build large-scale AI-enabled systems within People Tech. You’ll design, implement, and deploy multi‑agent workflows, partner with security and governance, and mentor engineers.

You’ll use Java, Scala, Python, Go, Node.js, TypeScript, and work with AWS, Docker, Kubernetes, and various data stores to deliver enterprise HR solutions. This role emphasizes architectural consistency, open source tooling, and continuous refactoring

Qualifications

• Bachelor's Degree or higher in Computer Science or related quantitative field.
• At least 4 years of software engineering experience.
• At least 2 years of experience with public cloud platforms (AWS, GCP, Azure).

Responsibilities

• Architect and lead LLM-driven capabilities for HRTech at enterprise scale.
• Design, build, and deploy autonomous agentic AI solutions and multi-agent workflows.
• Collaborate with security, governance, and risk teams to ensure secure AI capabilities.
• Provide technical leadership across Agile teams and establish design/operational standards.
• Mentor other members of the engineering community and stay current with tech trends.

Skills

Bachelor's degree

4+ years experience

Public cloud experience

Education

Bachelor's degree in CS or related

Master's degree (preferred)

Tools

AWS

GCP

Azure

Job description

Full Stack Engineer 4- People Tech- GenAI & Agentic Systems (LangChain, LangGraph) 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. People Tech is responsible for the digital transformation and operational excellence of Capital One’s corporate functions. Our core mission is to innovate and transform the Human Experience by providing robust technical solutions for a diverse portfolio, including HR, Legal, Brand, and Global Workplace Services. This mission is powered by our Engineering, Data, and Enablement Towers, which build the scalable platforms and data driven insights necessary for long term stability and security. To ensure we move with purpose, our team connects the dots across the organization, driving architectural consistency and fostering an environment of experimentation. Together, we ensure that People Tech is not just executing tasks, but strategically evolving to meet the future needs of our associates and the enterprise.

What You’ll Do

• Architect how we lean into LLM-driven capabilities and HRTech innovations to build systems used on an enterprise-scale to optimize HR processes and elevate the global associate experience.
• Design, build, and deploy autonomous agentic AI solutions and multi-agent workflows that automate complex HR capabilities across our global enterprise footprint.
• Partner with security, governance, and risk teams to ensure all AI-enabled capabilities and agentic workflows are implemented in a secure, compliant, and well-managed manner.
• 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.
• 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 global associate experiences.
• Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
• Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence for AI-enabled full stack applications.
• Partner with architects to define service boundaries, integration patterns, AI agent execution environments, and reusable frameworks.
• Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance.
• Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment.

Basic Qualifications

• Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 4 years of experience in software engineering (Internship experience does not apply)
• At least 2 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
• 7+ years of experience in coding with more than two of the following: Python, Java, JavaScript, TypeScript, SQL, or Go
• 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies
• 3+ years of experience with database and database management systems
• 4+ years of experience contributing to open source frameworks
• 4+ years of experience creating synchronous and asynchronous APIs
• 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
• Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
• Experience leveraging modern AI-based coding tools and IDE copilots
• Experience leading cross-functional engineering efforts or large-scale technical initiatives
• Experience establishing and enforcing coding standards and design patterns across teams
• Experience with RAG architecture, vector databases or embedding-based search
• Experience leveraging Spec-Driven Development (SDD)
• Experience with agentic or multi-step Large Language Model (LLM) pipeline design using LangGraph, LangChain, or equivalent orchestration frameworks
• Experience deploying enterprise-grade, secure, and privacy-compliant LLM or AI agent applications at scale.

Salary and Compensation

• Chicago, IL: $179,400 - $204,700 for Full-stack Engineer 4
• McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4
• New York, NY: $215,200 - $245,600 for Full-stack Engineer 4
• Plano, TX: $179,400 - $204,700 for Full-stack Engineer 4
• Richmond, VA: $179,400 - $204,700 for Full-stack Engineer 4
• San Francisco, CA: $215,200 - $245,600 for Full-stack Engineer 4
• San Jose, CA: $215,200 - $245,600 for Full-stack Engineer 4

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website.

Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [e-mail].

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit.