Full Stack Engineer 5 - Global Workforce Services - AI Automation
$230k - $262k • Richmond, VA • Full-time
Posted 12d ago
Job Location
Richmond, VA
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
Capital One is seeking passionate Full-stack Software Engineers to join the Global Workforce Services team, driving a major transformation by leveraging cutting-edge open-source frameworks and emerging technologies. This role focuses on powering enterprise facilities and physical security through a hybrid landscape of applications, managing a large IoT footprint, and transforming operations using state-of-the-art AI, autonomous agents, and RAG pipelines. You will be at the forefront of innovation, solving complex business problems in a fast-paced, collaborative environment.
Responsibilities
- Lead technology projects and development teams in creating solutions for regulatory needs.
- Develop performant, responsive web interfaces and real-time AI chat/agent interfaces using modern frontend frameworks.
- Build resilient, high-throughput microservices and APIs supporting real-time AI responses.
- Integrate AI agent capabilities into enterprise systems, databases, and third-party APIs using tool and function calling.
- Architect and integrate heterogeneous AI systems, including rule-based, retrieval-augmented, and generative components, into production pipelines.
- Share passion for technology trends, experiment with new technologies, and participate in technical communities.
- Collaborate with product managers to deliver robust cloud-based solutions.
- Provide technical leadership, shaping system architecture and long-term technology direction.
- Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems.
- Partner with architects and product leaders to define platform roadmaps and shared services strategy.
Requirements
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 6 years of experience in software engineering.
- At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies.
- Experience building production RAG pipelines (chunking, embeddings, vector indexing, graph RAG, or fine-tuning).
- Experience leveraging Agentic patterns (Tool Calling, ReAct loops, Plan-and-Execute, Multi-Agent Collaboration).
- Experience with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel) and model APIs (OpenAI, Anthropic, Bedrock, Ollama, Hugging Face).
- Experience in building agentic AI systems and agentic workflows.
- 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.
- Experience right-sizing models, instance counts, and hardware types given requirements.
- Extensive experience coding with multiple languages like Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala.
- Experience contributing to open source frameworks.
- Experience with front-end JavaScript or TypeScript frameworks.
- Experience creating synchronous and asynchronous APIs.
- Experience with database and database management systems.
- Experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks.
- Experience using Git-based version-control systems.
- Experience troubleshooting technical issues within cloud environments.
- Experience mentoring senior engineers and driving professional development.
- Experience leveraging observability to identify and optimize performance bottlenecks in distributed systems.
- Experience leading architectural design reviews and influencing enterprise-wide technical standards.
- Experience establishing and enforcing coding standards and design patterns.
- 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.