Product Engineer (hybrid/remote)

Responsibilities

• Accurately documents design and code fixes for work completed to ensure knowledge sharing and maintainability in line with established standards.
• Generates and codes work units for simple to intermediate changes, enhancements, and modules according to specifications and standards.
• Provides and confirms estimates for assigned work units and communicates progress or risks, proactively working with project managers to stay aligned on timelines.
• Supports the review of business, functional, and high ‑ level technical requirements-including technical recovery, security, and audit-to understand scope and contribute to solution design and rollback considerations.
• Assists with change ‑ management activities supporting production deployment for Developers, Quality Control Analysts, and Environment Management personnel.
• Tracks and resolves simple to intermediate defects, identifies support issues, and escalates more complex problems where appropriate .
• Supports the translation of business problems into AI ‑ assisted workflows, identifying opportunities to improve efficiency through automation.
• Contributes to the design and development of AI ‑ powered solutions and agents, working alongside senior engineers where needed.
• Supports continuous improvement of AI solutions based on model performance, outcomes, and user feedback.
• Follows established standards and best practices for prompt engineering, agent configuration, and reuse.
• Participates in integrating GenAI solutions with enterprise knowledge sources, APIs, and applications.
• Applies best practices for data quality, grounding strategies, and retrieval approaches to help improve accuracy and reduce errors.
• Supports adherence to AI governance, security, and compliance guidelines, with guidance from senior team members and architects.
• Essential Skills:
• All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy.
• A minimum of 3 years working with Python.
• A minimum of 3 years working with RESTful APIs, microservices architecture, and asynchronous processing.
• A minimum of 1 year' experience working with cloud platforms (Azure preferred, AWS also acceptable), including building, deploying, or integrating applications using cloud ‑ based services.
• Desirable Skills:
• Knowledge of Java/ Spring Boot.
• Experience with React.js or modern frontend frameworks.
• Experience in cloud platforms (Azure, AWS).
• Knowledge of ethical AI practices and compliance frameworks.
• Knowledge in Generative AI, LangChain , LLM orchestration, and prompt engineering.
• Supervisory Responsibilities:
• This job does not have supervisory duties.
• Posting End Date: Thursday 25th June 2026 [11:59pm]

Requirements

• AI Concepts, AI Governance, Generative AI, Java (Programming Language), Large Language Models (LLMs), Microsoft Azure, Python (Programming Language), Python Frameworks, React.js, RESTful APIs, Spring Boot
• Shape the Future of Insurance with Cutting-Edge Tech and a People-First Culture
• Why join us?
• We also invest in you. At Allstate NI, your career growth matters. You'll

Additional Information

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team The Product Engineer will be responsible for designing, developing, and delivering high-quality application solutions. This role ensures code quality through thorough testing, structured code reviews, and accurate documentation, while collaborating closely with product, project, and quality teams to deliver reliable, secure software. As a Product Engineer you will support the adoption of GenAI-enabled solutions by translating business problems into AI-assisted and agentic workflows, establishing governance and engineering standards, and integrating AI capabilities with enterprise systems to drive innovation, efficiency, and continuous improvement.

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