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Accenture

Advises businesses and runs their technology

AI Native Software Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A minimum of 15 years of experience in Java Full Stack Development is required.
  • A minimum of 15 years of full-time education is required.
  • A solid foundation in enterprise engineering, the software development lifecycle, and domain or industry workflows is required.
  • Demonstrated capability using copilots and large language model tools for software development tasks is required.
  • Practical understanding of retrieval-augmented generation and the limitations of large language models is required.
  • The ability to deliver faster, higher-quality outcomes by combining human judgment with AI-assisted productivity is required.
  • Backend experience with one or more of Java with Spring Boot for microservices and API integration, .NET with C# enterprise application frameworks, or Python for scripting, automation, and AI API integration is required.
  • Frontend experience with React, Angular, or Vue.js for responsive UI development is required.
  • Experience with TypeScript or JavaScript, SQL or NoSQL, REST or GraphQL APIs, cloud-native skills with Azure, AWS, or GCP, containerization with Docker or Kubernetes, and CI/CD pipelines is required.
  • The role does not require training models or designing machine-learning architectures; its focus is integration and productivity uplift.

Responsibilities

  • Build and ship production-ready software using AI as a core part of the engineering lifecycle.
  • Apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve how software is built and operated.
  • Define end-to-end architecture for full-stack enterprise applications integrating AgentAI copilots, pre-built AI services, and APIs.
  • Ensure compliance with software development lifecycle, security, and performance standards while embedding AI-assisted workflows.
  • Use AgentAI tools and large language model-based copilots for coding, testing, debugging, documentation, and design acceleration.
  • Incorporate AI services, including retrieval-augmented-generation-based retrieval and conversational APIs, into enterprise systems.
  • Architect scalable front-end and back-end solutions using modern frameworks and cloud-native patterns.
  • Optimize API design, data flows, and user interface and user experience for AI-assisted features.
  • Act as a liaison between traditional engineering teams and AI-native squads to drive adoption of AI-assisted development practices.
  • Maintain architectural integrity, scalability, and reliability, and enforce responsible AI usage and guardrails.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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