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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - Agentic Development - **Company:** Fair Isaac Corporation - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Code Coverage, Continuous Integration, Information Engineering, Cursor (Graphical User Interface Elements), Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Software Architecture, Software Engineering, SQL Databases, TypeScript, GitHub Copilot, Large Language Models, Kubernetes - **Published:** September 23, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pm2uc8ar87 ## About the Role * Demonstrable experience in software engineering within large, complex codebases, with a strong foundation in software architecture, testing practices, and long-term maintainability. * Practical experience working with AI coding agents such as Claude Code, GitHub Copilot, Codex, or Cursor with a clear understanding of their capabilities, limitations, and appropriate use within a production engineering workflow. * The technical judgement to critically evaluate agent generated output, identify subtle errors or architectural weaknesses, and make informed decisions about when to intervene in the agent workflow. * The ability to communicate technical requirements with precision, producing specifications and definitions of done that are unambiguous, testable, and actionable by both agents and engineering colleagues. * A disciplined approach to verification, instinctively questioning correctness, building appropriate checks and test coverage, and applying particular rigour in regulated and mission-critical delivery contexts. * A results-oriented approach to delivery, with accountability for the quality and correctness of shipped work rather than volume of code produced. * Familiarity with relevant technologies including Python, SQL, JavaScript/TypeScript, AWS or Azure, Kubernetes, CI/CD pipelines, ML model deployment, or real-time decisioning systems. * Experience with spec-driven development, context engineering, or agent orchestration in a team environment is a significant advantage, as is knowledge of regulated or audited software delivery processes and controlled change management. * A background in decisioning, credit risk, fraud detection, analytics, optimisation, or data engineering would be advantageous; candidates who can also articulate a considered approach to human-AI collaboration including delegation boundaries, human oversight, and earning autonomy through demonstrated quality will be of particular interest. ## Description * Collaborate with Product teams to translate early stage ideation into structured Proof of Concepts, establishing clear technical feasibility and scope. * Produce detailed specifications and acceptance criteria that enable coding agents to generate correct, maintainable, and well-architected output, taking full ownership of the resulting code through to deployment. * Apply rigorous quality standards to all agent generated output, ensuring it meets the same level of scrutiny as hand written code within a regulated decisioning context. * Operate effectively within the agentic harness, utilising established guides, including AGENTS.md files, architectural rules, and reference documentation alongside automated sensors such as linters, fitness tests, verification loops, and LLM-as-judge reviewers. * Identify the root cause of recurring agent errors and work with the harness team to implement systemic controls, ensuring the same class of failure cannot recur across the codebase. * Maintain the accuracy and currency of repository documentation, specifications, and contextual knowledge, treating these as a shared system of record for both human engineers and agents. * Apply focused technical judgement to architecture decisions, edge case analysis, latency and integration risk, auditability requirements, and any determination that falls outside the appropriate scope of agent autonomy. ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Overflow: AI and Agentic Coding](https://www.wearedevelopers.com/magazine/721-the-overflow-ai-and-agentic-coding) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)