Backend Software Engineer- AI
Backend Software Engineer- AI
We are currently recruiting for a Backend Software Engineer with AI experience to join one of our Insurance clients on a 6-month contract.
Inside IR35
Hybrid
Responsible
- Design, build, test, deploy, and maintain software solutions.
- Analyse requirements and contribute to technical solution design.
- Develop high-quality code using appropriate design patterns and engineering principles.
- Produce unit, integration, and automated test coverage for developed solutions.
- Participate in peer code reviews and engineering quality practices.
- Collaborate with cross-functional teams to deliver business outcomes.
- Contribute to technical documentation and knowledge sharing activities.
- Support troubleshooting, defect resolution, and root cause analysis.
- Assist in improving development processes, tooling, automation, and delivery practices.
- Contribute to technical discussions regarding architecture, scalability, performance, and security.
- Support implementation and adoption of DevOps and CI/CD practices.
- Identify opportunities for innovation, optimisation, and automation.
- Support operational resilience and production support activities where required.
Qualifications & Experience Essential
- Experience developing, testing, and deploying software solutions in production environments.
- Experience with code reviews, automated testing, and source control practices.
- Strong capability in designing, building, and maintaining secure, scalable, and resilient server-side services.
- Experience with back-end programming languages and frameworks such as Java, C#, .NET, Node.js, Python, or equivalent technologies.
- Good understanding of API design, service integration, asynchronous processing, error handling, logging, and observability.
- Experience working with relational and/or non-relational databases, data models, stored procedures, queries, and performance tuning.
- Experience using AI-assisted engineering tools to support software design, implementation, testing, documentation, and code review.
- Understanding of responsible AI usage, including validation of generated outputs, protection of confidential information, and compliance with organisational governance.
- Experience with DevOps and platform engineering practices.
- Experience with container technology and microservice architectures.
- Exposure to AI-assisted development practices.
- Experience operating within regulated or security-conscious environments.
Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
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