• Work autonomously across the entire software development lifecycle; • Apply development best practices and code design principles to promote quality and maintainability of new and existing projects; • Define and implement solutions that meet quality requirements with autonomy; • Mentor and help develop other engineers; • Lead initiatives, definitions and alignments with other areas independently; • Monitor and operate production solutions (Build & Run), ensuring performance, reliability and quality; • Collaborate with cross-functional teams, providing technical insights and contributing to product strategy.

• Design and implement robust front-end solutions for our visual IDE, optimizing for performance and scalability. • Work closely with UX/UI designers to translate design concepts into functional code. • Contribute to the development lifecycle, including coding, testing, debugging, and deployment. • Ensure high-quality graphic standards and brand consistency. • Stay updated with emerging front-end technologies and methodologies, integrating them to enhance our platform's capabilities. • Maintain an online presence between the hours of 9am - 4pm EST

• Design, develop, and maintain full stack features—from RESTful APIs and backend services to responsive, user-friendly frontend components—using Python/Django and TypeScript/React. • Build and evolve backend systems that handle business logic, data storage, and integrations, ensuring performance, reliability, and scalability. • Implement reusable, accessible, and performant UI components in React. Collaborate with product and design to deliver intuitive user experiences. • Contribute to the design of our database models and write efficient, secure queries. Ensure the performance and integrity of our data layer. • Ensure you and other team members are contributing clean, efficient, testable, and reusable code that aligns with our technical strategy and coding standards. • Provide leadership in the technical output of your team and ensure technical designs follow appropriate design patterns. • Enable the observability and monitoring of relevant system behavior in the areas of the application you own and propose improvements to application performance and stability.

• Deliver internal copilots and customer/agent-facing automations with clear SLAs, rollbacks, and observability from day one. • Design ingestion, chunking, embeddings, indexing, hybrid search/rerank, and retrieval evaluation; track retriever quality via offline golden sets and online metrics. • Design and implement scalable AWS architectures, including AWS AI features such as Bedrock, IAM, knowledge bases, secure secrets and policy enforcement, automated provisioning, and resource-usage governance as core platform capabilities. • Add tracing, prompt/agent version lineage, eval dashboards, and regression alerts; establish golden datasets and canary tests. • Enforce PII redaction, safety filters, role-based access, audit logs, and human-in-the-loop review paths to control quality and risk. • Version and deploy prompts, tools, agents, and retrieval pipelines; support blue/green and shadow deploys with automatic rollback triggers. • Cut run-rate spend through caching, truncation, batching, autoscaling, and model routing; establish clear unit economics per workflow. • Provide templates, SDKs, and high-quality abstractions that let product teams ship safely without bespoke plumbing; improve developer experience. • Build primarily in Python and Metaflow (Outerbounds); deploy on AWS (Bedrock + core services) and OpenAI; use Cursor in daily workflows; help evaluate and, when appropriate, run on Databricks. • Participate in on-call, author runbooks, and remove single-thread risk for AI services; drive reliability and resilience akin to ML Ops.