Senior Application Engineer

• 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.

• 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.