Senior Product Software Engineer - AI Native

Description

The company is a global technology firm that provides expert software and information tools relied on by leading professionals at the moments that count most.

The team is hiring a Senior Product Software Engineer - AI Native.

Responsibilities

• Own a software solution from early discovery through to production, turning customer, business and technical needs into reliable, secure, scalable and maintainable products.
• Take unclear team-level problems, clarify goals, compare options and choose a solution path, working with stakeholders to set requirements, coordinate dependencies and deliver results.
• Build, test, ship, maintain and improve applications, services and platforms, using both hand-written code and approved AI-assisted methods.
• Use approved AI tools where they fit, check their output, and stay responsible for architecture, quality, security and production readiness.
• Write specifications covering requirements, design approaches, acceptance criteria, dependencies, risks and implementation notes.
• Decide what testing and verification each area needs, based on complexity, risk and business impact.
• Guide colleagues through design reviews, code reviews, knowledge sharing and mentoring, and help set engineering practice.
• Diagnose and resolve cross-component and production issues, putting lasting corrective fixes in place.
• Apply security, privacy, compliance and data protection requirements across the full lifecycle.
• Work with product, design, architecture, operations, security and business colleagues to shape solutions.
• Improve performance, scalability, reliability, resiliency and maintainability while lowering operational risk.
• Improve engineering processes, delivery speed and team skills through automation, standardization and knowledge sharing.
• Weigh customer impact, product strategy, operational effects and business outcomes when making technical decisions.
• Stay accountable for everything you approve or release, whether you wrote it or generated it, treating AI output as unverified until reviewed; define acceptance criteria, produce evidence of readiness, and escalate technical risks.

Requirements

• Bachelor's degree in a relevant field, or equivalent demonstrated experience.
• 4-6 years of relevant experience in product software engineering.
• Strong experience as a full stack software engineer.
• Advanced knowledge of C,.NET Framework,.NET Core and ASP.NET Web API.
• Advanced knowledge of Angular, RESTful APIs and microservices architectures.
• Advanced knowledge of SQL, relational database design and Redis.
• Advanced knowledge of asynchronous messaging systems such as RabbitMQ, MassTransit and Azure Service Bus.
• Solid understanding of OOP, SOLID principles, Domain-Driven Design (DDD) and Clean Code practices.
• Ability to write specifications and build software from them, whether by coding or by directing approved generation tools, and to read, trace, test and debug code regardless of its origin.
• Ability to design software that is understandable, changeable, secure, operable and fit for purpose, including defining interfaces and contracts and designing for testability.
• Skill in testing, problem solving and analysis, breaking complex systems into parts and seeing how they interact.
• Experience working in agile teams, adapting quickly to change with a focus on continuous improvement.
• Comfort in a shared codebase using branching, review and merge practices, with clean, reviewable changes.
• Ability to design, build and manage APIs, including their documentation, security and testing.
• Ability to keep technical documentation current, accessible and useful.
• Working knowledge of application security, including secure coding, access control, authentication and security testing.
• Ownership mindset, learning speed, pragmatism and willingness to challenge assumptions with evidence.
• Ability to coach others on responsible use of AI tools and to raise the standard of the team.

Conditions

Hybrid work model.

You may be required to attend an onsite interview at a company office as part of recruitment.

Interviews must be completed without AI tools or outside prompts; virtual backgrounds must be removed, and some interviews are held in person.

Using AI-generated answers or third-party help during an interview will disqualify a candidate.