Senior Application Engineer

Job Title: Senior Application Engineer

Location: Seattle, Washington, United States

Type: Full Time

Our client is Looking a Senior Application Engineer to build and scale next-generation AI-powered cloud applications within a fast-paced innovation environment.

This role is a hands-on engineering position focused on developing secure, cloud-native applications and agent-driven AI solutions. The ideal candidate will work in an agile delivery model, rapidly building and iterating minimum viable products while maintaining high standards of reliability, scalability, and security.

Key Responsibilities

Cloud Application Development & API Engineering

• Design, develop, and maintain backend services and APIs supporting AI-driven applications.
• Build scalable services using technologies such as Python (FastAPI), Node.js, or similar frameworks.
• Integrate AI/LLM capabilities, retrieval systems, and enterprise data sources into applications.
• Deliver iterative product increments within rapid sprint cycles, ensuring continuous validation and improvement.
• Develop secure application architectures including authentication, authorization, and data protection mechanisms.

AI & Platform Engineering

• Build and manage intelligent workflows and agent-based systems for complex problem-solving.
• Develop integration layers that enable AI agents to interact with enterprise systems and structured data sources.
• Implement data retrieval, storage, and context management using modern cloud data services.
• Contribute to evolving semantic data layers that enhance AI-driven analytics and decision-making.
• Create reusable architecture patterns for scalable cloud deployments.

DevOps, Automation & Observability

• Design and maintain CI/CD pipelines, infrastructure-as-code, and automated testing frameworks.
• Monitor application performance, reliability, and cost efficiency using observability tools.
• Implement security and quality controls within development pipelines, including automated validation checks.
• Build solutions that support traceability, auditing, and controlled execution environments.

Collaboration & Technical Leadership

• Work closely with cross-functional teams including AI engineers, data scientists, product teams, and architects.
• Participate in agile ceremonies, contributing to backlog refinement and sprint planning.
• Provide technical mentorship through code reviews, design discussions, and knowledge sharing.
• Communicate architectural trade-offs related to performance, cost, scalability, and compliance.
• Support the transition of prototypes into production-ready solutions.

Qualifications & Experience

• Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
• 5+ years of experience in software engineering, backend development, or cloud platform engineering.
• Strong hands-on experience building cloud-native solutions, preferably within AWS environments.
• Proficiency in programming languages such as Python or TypeScript with modern frameworks.
• Experience with containerization, CI/CD pipelines, infrastructure-as-code, and version control systems.
• Exposure to AI/ML systems, including large language models, retrieval systems, or agent-based frameworks.
• Experience working with structured and unstructured data systems, including databases and search platforms.
• Strong problem-solving, analytical thinking, and communication skills.

Preferred Qualifications

• Experience building AI-powered applications such as RAG systems or agent-based workflows.
• Familiarity with modern AI development frameworks and tools.
• Experience with observability platforms and monitoring solutions.
• Exposure to enterprise-scale or regulated environments.
• Passion for working with emerging technologies and applying them to real-world challenges.