Full Stack Engineer 4- People Tech- GenAI & Agentic Systems (LangChain, LangGraph)
$179k - $205k • McLean, VA • Full-time
Posted 1mo ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Agent Engineer
About the job
Capital One is seeking passionate Full-stack Software Engineers to join the People Tech team, driving a major transformation by leveraging cutting-edge open-source frameworks and emerging technologies. The People Tech team focuses on the digital transformation and operational excellence of Capital One’s corporate functions, innovating and transforming the Human Experience with robust technical solutions for HR, Legal, Brand, and Global Workplace Services. This role will be at the forefront of architecting and building enterprise-scale LLM-driven capabilities and autonomous agentic AI solutions to optimize HR processes and elevate the global associate experience.
Responsibilities
- Architect LLM-driven capabilities and HRTech innovations for enterprise-scale systems.
- Design, build, and deploy autonomous agentic AI solutions and multi-agent workflows.
- Partner with security, governance, and risk teams for secure and compliant AI implementation.
- Lead technology projects and development teams in distributed microservices and full-stack systems.
- Share passion for tech trends, experiment with new technologies, and mentor engineers.
- Collaborate with digital product managers to deliver robust cloud-based solutions.
- Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript, and TypeScript.
- Provide technical leadership and set standards for AI-enabled full-stack applications.
- Partner with architects to define service boundaries, integration patterns, and AI agent execution environments.
- Identify areas for improvement, implement refactoring, and reduce technical debt.
- Influence long-term technology strategy through evaluation of emerging tools and practices.
Requirements
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 4 years of experience in software engineering.
- At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies.
- Master’s Degree in Computer Science or a related field (preferred).
- 7+ years of experience coding with Python, Java, JavaScript, TypeScript, SQL, or Go (preferred).
- 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies (preferred).
- 3+ years of experience with database and database management systems (preferred).
- 4+ years of experience contributing to open source frameworks (preferred).
- 4+ years of experience creating synchronous and asynchronous APIs (preferred).
- 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks (preferred).
- Experience with interactive AI tooling beyond basic code completion (preferred).
- Experience leveraging modern AI-based coding tools and IDE copilots (preferred).
- Experience leading cross-functional engineering efforts or large-scale technical initiatives (preferred).
- Experience establishing and enforcing coding standards and design patterns (preferred).
- Experience with RAG architecture, vector databases or embedding-based search (preferred).
- Experience leveraging Spec-Driven Development (SDD) (preferred).
- Experience with agentic or multi-step LLM pipeline design using LangGraph, LangChain, or equivalent (preferred).
- Experience deploying enterprise-grade, secure, and privacy-compliant LLM or AI agent applications at scale (preferred).