Custom Software Engineer

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Adobe Experience Manager (AEM) Sites
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an AEM + AI Native Application Developer, you will design, build, and configure Adobe Experience Manager (AEM) applications to meet business process and application requirements, while bringing production-grade AI engineering capabilities to accelerate delivery and unlock new experience patterns. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, apply AI-assisted and agentic development workflows, manage project timelines, and contribute to the overall success of application development initiatives.

Roles & Responsibilities:
a. Requirement Analysis & Component Development: Analyse business requirements using AI tools to synthesize briefs and generate component specifications build and configure AEM components using Sling Models, OSGi, HTL, and Java with AI accelerating boilerplate and scaffolding
b. Testing, Debugging & Quality Ownership: Apply AI-generated test cases and AI-assisted debugging to improve coverage and reduce defect cycle times validate all AI-generated outputs with engineering judgement — AI assists, you own the quality
c. Content Modelling & Integration: Participate in AEM content modelling, taxonomy planning, and MSM activities support integration with third-party APIs and DAM systems using LLM APIs and AI-assisted code review
d. Prompt Engineering & Collaboration: Apply AEM-specific prompt engineering for component generation, OSGi configuration, and code review contribute reusable prompts to shared team libraries collaborate with architects to translate designs into working implementations
e. AEMaaCS & Cloud Best Practices: Work within AEMaaCS environments including Cloud Manager pipelines and cloud-native OSGi patterns use AI to generate pipeline configurations and deployment checklists catch cloud-incompatible patterns before they reach pipelines
f. EDS: AEM Edge Delivery Services — document-based authoring and block development concepts use AI to accelerate EDS pattern understanding and block scaffolding


Professional & Technical Skills:
a. AEM Core: Proficiency in Adobe Experience Manager (AEM) Sites development
b. AEM Development: Hands-on experience with AEM component development using HTL (Sightly), Sling Models, OSGi/Felix, and Java
c. AEMaaCS: Familiarity with AEM as a Cloud Service (AEMaaCS), including Cloud Manager pipelines and cloud-native deployment patterns
d. AEM EDS (Basic): Basic awareness of AEM Edge Delivery Services (EDS), including its document-based authoring model and block development concepts
e. AI-Assisted Development: Demonstrated hands-on use of AI coding assistants (GitHub Copilot, Claude) integrated into daily AEM development — with practical examples of AI-driven problem-solving, component generation, and iteration
f. LLM API Integration: Direct experience calling LLM APIs (OpenAI, Anthropic, or similar) in application code, with understanding of token management, latency, and cost trade-offs
g. Programming Languages: Strong Java and JavaScript proficiency in HTL (Sightly) Python
h. Adobe Platform Developers APIs (AEM, Firefly, AEP, AJO, etc)
i. Cloud & DevOps: Familiarity with cloud fundamentals (AWS, Azure, or GCP), Docker containers, and CI/CD pipelines
j. Agile Delivery: Understanding of Agile delivery fundamentals and sprint-based development


Additional Information:
a. Bachelor s degree in computer science, Computer Engineering, Software Engineering, or a related field
b. 2+ years of commercial AEM development experience in production environments (or equivalent demonstrated through client projects, internships, or significant personal/open-source projects)
c. Ability to validate, evaluate, and improve AI-generated outputs understanding of AI limitations and responsible use
d. A 15-year full-time education background is required

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

Equal Employment Opportunity Statement

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