Full Stack Engineer 4- People Tech- GenAI & Agentic Systems (LangChain, LangGraph)
Compensation
Not disclosed
Location
McLean, VA
Work setup
Not specified
Seniority
Intern
Employment
Internship
Experience
2+ years
Category
Fullstack
Posted
Skills
agentic-ai
agile
ai
analytics
api
aws
azure
ci-cd
cloud
design-patterns
docker
gcp
generative-ai
infrastructure-as-code
java
javascript
kubernetes
langchain
langgraph
llm
microservices
nodejs
nosql
python
rdbms
scala
sql
statistics
test-automation
typescript
vector-databases
virtualization
Must have
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
Nice to have
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.
Full 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.
Full Stack Engineer 4- People Tech- GenAI & Agentic Systems (LangChain, LangGraph) at Capital One (McLean, VA) — aijobsearch
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.
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
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
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com
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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).