• Lead the design, development, and evolution of high-performance applications and services using Java and Micronaut. • Design and implement architectures based on microservices, messaging, and events using Kafka. • Develop modern, responsive, and scalable user interfaces with React and TypeScript. • Model, optimize, and maintain PostgreSQL databases, ensuring performance and reliability. • Define and implement security, observability, monitoring, and resilience patterns in AWS environments. • Conduct code reviews to ensure quality, maintainability, and adherence to best development practices. • Support investigation and resolution of incidents, performing root cause analysis and driving continuous improvement actions. • Serve as a technical reference for the team, sharing knowledge and supporting the growth of professionals at different levels. • Actively participate in architectural definitions and long-term technical decisions.

• Lead engineering initiatives end-to-end • Collaborate cross-functionally with Engineering, Product, Policy, and Marketing teams • Demonstrate a high bar for code quality • Exceptional communication • Design, advise, and build the next versions of our GraphQL API • Debug and fix production issues + participate in an on-call rotation.

• Authoring code for implementing features for the product using Python/React. • System Design & Task Decomposition: Break down high-level product goals into well-defined, modular engineering tasks that can be executed by team members. • Code Review & Validation: Conduct in-depth reviews of both human and AI-generated code, ensuring quality, security, scalability, and alignment with domain requirements. • Architectural Oversight: Ensure design plans created by both human engineers and AI tools adhere to architectural decisions with a focus on modularity, bounded contexts, etc. • AI-Integrated Development Lifecycle: Develop and optimize CICD pipelines that incorporate AI agents, automated testing, and intelligent code reviews. • AI-Oriented Prompt Engineering: Design and test structured instructions, prompts, and specifications to drive accurate, context-aligned output from AI agents. • Documentation and Domain Clarity: Contribute to the development of domain models, technical documentation, and internal knowledge bases to support AI performance and team activity. • Serve in an on-call rotation (DevOps philosophy where you will participate in ops) and respond promptly to any production issues to remediate rapidly. • Be a teammate, help other teammates resolve complex problems or think through design/architecture challenges. Be available and responsive. • Write secure code. Avoid introducing an OWASP vulnerability. Know how APIs are secured, sessions are handled, and data is validated properly. • Mentor others and foster an excellent engineering culture based in trust, accountability, character, and honesty. • Seek feedback and deliver constructive criticism (e.g., code reviews) in a tactful and empathetic manner; build others up and mentor without ego.

• Join a dynamic and fast-growing AI infrastructure company that collaborates with Fortune 100 clients. • Accurately identify, classify, and annotate entities within PDF documents. • Assess solutions for correctness, clarity, security, performance, and adherence to the prompt. • Identify issues in application architecture, data modeling, API design, security, caching, and database usage. • Write strong explanations and model solutions that demonstrate best practices. • Evaluate, rank, and provide feedback on AI responses to improve correctness, security, readability, and contextual fit. • Ensure model integrity by testing AI outputs for inaccuracies, unsafe practices, and potential biases.