About this role
Company introduction We are looking for experienced, highly disciplined software engineers who are passionate about redefining how software is built through AI, automation, and Spec-Driven Development (SDD). Our team builds and scales agentic AI solutions, accelerates software delivery through SDD, and creates reusable frameworks that help product teams build software faster, safer, and with higher quality. Role summary / purpose Senior Agentic Software Engineers design and deliver intelligent systems that combine AI agents, cloud-native architectures, automation frameworks, and modern software engineering practices. This role requires proven industry experience delivering production software, a strong foundation in software engineering fundamentals, and the discipline to apply those fundamentals rigorously when working alongside AI coding agents. This is a fast-paced role with tight deadlines and priorities that can shift quickly. This role operates with minimal supervision. You will be expected to take ownership of your work, make sound technical decisions on your own, manage your own priorities, and proactively raise risks and blockers without waiting to be asked. Key responsibilities • Agentic Solution Design & Development – Design and implement complex agentic AI solutions using modern LLMs, AI agents, MCP integrations, orchestration frameworks, and cloud-native services. Build production-ready AI-enabled applications on AWS and Azure, including agent runtimes. Develop reusable frameworks, accelerators, templates, and engineering patterns that increase delivery capacity across teams. Design systems that balance autonomous agent behavior with human oversight, governance, and security controls. • Software Engineering Fundamentals & Discipline – Apply strong engineering discipline to every deliverable: clean architecture, sound design patterns, meaningful test coverage, clear documentation, and maintainable code. Hold AI-assisted and agent-generated work to the same standards as human-written code. Practice TDD, refactoring, and continuous integration as everyday habits. Debug methodically, identify root causes, and proactively manage technical debt. • Code Review (Including Agent-Generated Code) – Perform thorough, high-quality code reviews for both human-written and agent-generated code. Critically evaluate AI-generated code for correctness, security, performance, maintainability, test quality, and alignment with specification and architecture. Identify subtle defects common in agent output and set review standards for the team. • Spec-Driven Development (SDD) – Lead software delivery using Spec-Driven Development methodologies. Translate business goals and user needs into clear, structured specifications. Review and refine specifications to ensure they are complete, testable, and implementation-ready before work begins. • Product Partnership, Estimation & Feasibility – Partner closely with product owners to shape work, providing realistic estimates and candid feasibility feedback. Identify technical risks, dependencies, and constraints. Break complex ideas into right-sized user stories and re-plan quickly when priorities change. • Platform & Integration Engineering – Design and implement APIs, MCP servers, integrations, and service interfaces that give AI agents secure access to tools. Build event-driven and service-oriented architectures. Integrate enterprise systems, knowledge repositories, and business workflows into…
Posted by Bartech Staffing on behalf of a vetted Top Three US electric utility client. Your recruiter confirms the exact rate when you connect.