5 days ago
London, United KingdomMid Level / Senior
Responsibilities
- Build and ship full-stack product capabilities from prototype through production, including architecture, data models, backend services, APIs, integrations, AI systems, and user experiences.
- Design and implement agentic systems covering model interactions, tool use, retrieval, orchestration, state management, evaluations, observability, and guardrails.
- Use coding agents and AI development tools across the engineering lifecycle, including creating specifications, tests, development environments, CI pipelines, and evaluation systems.
- Translate ambiguous product opportunities into technical approaches, make architecture decisions, and balance speed, scalability, security, cost, and reliability.
- Own product and production outcomes, including customer adoption, reliability, observability, security, performance, and maintainability.
- Provide rigorous technical reviews, improve other engineers’ judgment and execution, and help define shared architecture and AI-native engineering practices.
Requirements
- At least 3 years of experience building and shipping production software.
- At least 3 years of full-stack software engineering experience across frontend and backend systems.
- At least 3 years of software engineering fundamentals, including system design, data modeling, APIs, testing, cloud-native development, security, observability, and production operations.
- At least 1 year of substantive hands-on AI-native engineering experience involving areas such as LLM APIs, coding agents, agent frameworks, tool integrations, retrieval systems, evaluation frameworks, or production guardrails.
- At least 1 year of experience building reliable AI or agentic systems beyond prototypes and taking products or major capabilities from zero to production.
- Bachelor’s degree or equivalent work experience; an Associate’s Degree requires at least 6 years of work experience.
- Ability to use AI development tools to increase engineering leverage while maintaining quality, exercise judgment under ambiguity, communicate technical decisions clearly, and collaborate with product managers, designers, customers, and domain experts.
- Genuine interest in frontier AI and a habit of testing new models, tools, and engineering approaches.
Benefits
- Competitive salary package depending on experience.
- Up to 25 days of vacation per year, private medical insurance, and 3 additional annual leave days for charitable work.
- London-based role requiring flexibility, mobility, and time onsite with clients and partners.
- Applications close 22/01/27, though the role may close earlier if a suitable applicant is found.
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About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.