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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 listed

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, software development life cycle, 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 role requires combining human judgment with AI-assisted productivity to deliver faster, higher-quality outcomes.
  • Backend experience in one or more of Java with Spring Boot for microservices and API integration, .NET with C# and enterprise application frameworks, or Python for scripting, automation, and AI API integration is sought.
  • Frontend experience with React, Angular, or Vue.js for responsive user interface development is sought.
  • TypeScript or JavaScript experience is sought.
  • Additional skills include SQL or NoSQL, REST or GraphQL APIs, cloud-native skills in Azure, AWS, or GCP, containerization with Docker or Kubernetes, and continuous integration and continuous delivery pipelines.

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.
  • Design and deliver enterprise-grade, full-stack solutions using AgentAI tools for accelerated development.
  • Bridge traditional engineering teams and AI-native specialists to enable productivity uplift and scalability without deep machine-learning model training or MLOps ownership.
  • Define end-to-end architecture for full-stack enterprise applications integrating AgentAI copilots, pre-built AI services, and APIs.
  • Ensure compliance with software development life cycle, 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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