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 types given requirements (e.g., context length, token inputs, token outputs)
9+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala
5+ years of experience contributing to open source frameworks
5+ years of experience with front-end JavaScript or TypeScript frameworks
5+ years of experience creating synchronous and asynchronous APIs
4+ years of experience with database and database management systems
4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
4+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket)
4+ years of experience troubleshooting technical issues within cloud environments
3+ years of experience mentoring senior engineers and driving professional development within technical teams
2+ years of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems
2+ year of experience leading architectural design reviews and influencing enterprise-wide technical standards and methodologies
1+ year of experience establishing and enforcing coding standards and design patterns across teams
1+ year of experience implementing observability and reliability practices at scale
Experience influencing technology strategy at the portfolio or business unit level
Experience leading cross-functional engineering efforts or large-scale technical initiatives
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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.
McLean, VA: $229,900 - $262,400 for Full-stack Engineer 5
Richmond, VA: $209,000 - $238,500 for Full-stack Engineer 5
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
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).
