Full Stack Specialist (Python / Agentic AI)
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Job description
End-to-end software development: including analysis, design, development, automated testing, deployment, and maintenance using industry best practices and security standards. Performance optimization: analyze system performance, identify bottlenecks, and implement solutions to enhance application efficiency and scalability. Collaborative solution delivery: partner with business stakeholders to gather requirements, leverage proof-of-concepts for technical decisions, and implement solutions with cross- functional teams. Production support and maintenance: support applications you build across environments, resolve critical issues, and fulfill ad hoc requests to ensure seamless business operations., Staff AI Engineer role (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry…
- 3 days ago +
Requirements
Must Have Qualifications: 7+ years of development experience, strong Python expertise, and at least 1+ year of AI experience, including building AI agents and working in agentic AI development environments. Required experience with AWD, Docker, LLMs, Rest APIs, and SQL. Nice to have skills in Advanced SQL, Angular, Java, Jenkins, Kafka and Spring., 5+ years of professional software development experience. 1+ years of hands-on experience building and deploying agentic AI/LLM applications in Production. Bachelor’s degree in computer science or related field. Qualifications: Strong analytical/problem-solving skills. Strong Python development skills (build, test, deploy) with CI/CD and Docker on AWS. Experience building agentic AI solutions using LangChain/LangGraph and integrating tools via MCP (Model Context Protocol). Experience integrating LLM workflows with APIs and data sources (SQL; RAG/embeddings a plus). Clear communicator; collaborative, open-minded team player. Experience with AI-assisted coding tools (e.g., VS Code, Amazon Q/Kiro, Copilot or similar). Nice to have: Trading or Financial Industry background, Kafka/event-driven systems, React/Angular, Advanced SQL/Vector DBs, Java., Adaptability: Quick learner who seamlessly adapts to new technologies and project requirements while consistently delivering high-quality results. Problem-Solving: Strong analytical skills with proven ability to rapidly assess complex situations, make sound technical decisions, and implement effective solutions under pressure. Ownership & Drive: Self-motivated engineer who takes complete ownership of deliverables, proactively identifies process improvements, and ensures successful project completion. Communication: Excellent interpersonal skills enabling clear, effective communication across all stakeholders - from technical teams to leadership and external partners. Resilience: Excels in dynamic environments with shifting priorities, aggressive deadlines, and 24/7 support requirements during on-call rotations.
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