Apply Digital - Principal Agentic Engineer (Back-end)

• Lead the design and development of scalable, secure, and high-performance backend systems using Python and modern cloud-native patterns. • Apply spec-driven development practices to ensure clarity, quality, and predictable delivery. • Organizing, distributing and translating backlog requirements from Product, UX and other disciplines, into detailed spec driven requirements for Agents to implement. • Coordinate teams of coding agents to deliver engineering requirements. • Design and implement RESTful APIs to support frontend, mobile, and third-party integrations. • Architect and deliver AI-powered backend solutions, including: Vector stores and Retrieval-Augmented Generation (RAG) pipelines, integration with LLMs (e.g., Gemini, Claude, GPT-4/5), and use of AI coding agents and developer copilots to improve delivery velocity. • Develop and maintain systems using Google Cloud Platform (GCP), with hands-on experience in, Vertex AI, Google Gen AI APIs. • Leverage Agent Development Kits (ADKs) (e.g., Google ADK) to design and implement intelligent agent-based systems. • Ensure systems are observable, reliable, and debuggable in production environments. • Collaborate with engineers to design well-architected, maintainable solutions aligned with business goals. • Mentor and guide engineers, fostering technical excellence and continuous learning. • Partner with Project Managers and cross-functional teams to manage delivery risks and timelines. • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, including clients. • Strong experience with Python 3 for backend development. • Experience designing and consuming RESTful APIs. • Proven experience with spec-driven development. • Hands-on experience using AI coding agents (e.g., Copilot, Claude Code). • Strong prompt engineering skills. • Experience working with LLMs (e.g., Gemini 3, Claude Opus, GPT-4.x/5.x). • Experience implementing vector stores and RAG architectures. • Experience with Agent Development Kits (e.g., Google ADK). • Strong experience with Google Cloud Platform (GCP). • Hands-on experience with Vertex AI and Google Gen AI APIs. • Experience with relational and non-relational databases. • Experience with Git and CI/CD pipelines. • Strong system design fundamentals, including queues, caching strategies, database schema design, and API design. You know how to build systems that survive and scale in production. • Experience designing AI agents, agent task planning, and reasoning patterns. • Agent observability and debugging experience. • Ability to clearly articulate goals, constraints, and context for agentic  systems; reason through edge cases and failure modes; and iteratively refine agent behavior based on observed outcomes. • Comfort understanding and integrating across the full stack; experience with TypeScript and modern JavaScript is highly beneficial. • Excellent English communication skills (written and verbal), with the ability to explain complex technical concepts to both technical and non-technical audiences. • Excellent command of the English language to guide coding agents to complete required coding tasks. • Experience working effectively with fully remote, distributed teams. • Experience working in a consultancy, agency, or professional services firm. • Ability to thrive in a flexible, fast-paced delivery environment. • Experience with BMAD Method or similar spec driven development frameworks. • Familiarity with layered and distributed architectures. • Experience with Terraform. • Experience with additional backend languages. • Experience with gRPC or other communication patterns. • Experience with eCommerce platforms or complex integrations.