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Accenture

Advises businesses and runs their technology

Custom 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 12 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 (SDLC), and domain or industry workflows is required.
  • Demonstrated capability in using copilots and large language model tools for software development tasks is required.
  • Practical understanding of retrieval-augmented generation (RAG) and the limitations of large language models is required.
  • Ability to deliver faster, higher-quality outcomes by combining human judgment with AI-assisted productivity is required.
  • 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 required.
  • Frontend experience with React, Angular, or Vue.js for responsive UI development is required.
  • TypeScript or JavaScript experience for modern front-end engineering is required.
  • Additional skills include SQL or NoSQL, REST or GraphQL APIs, cloud-native skills with Azure, AWS, or GCP, containerization with Docker or Kubernetes, and CI/CD pipelines.
  • The role focuses on AI-service integration and productivity uplift; it does not require training models or designing machine-learning architectures.

Responsibilities

  • Develop custom software solutions by designing, coding, and enhancing components across systems or applications.
  • Use modern frameworks and agile practices to deliver scalable, high-performing software solutions tailored to business needs.
  • Define end-to-end architecture for full-stack enterprise applications integrating AgentAI copilots, pre-built AI services, and APIs.
  • Ensure compliance with SDLC, 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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