Custom Software Engineer
- Accenture
- 12 - 17 years
- Chennai
- 1 day ago
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Job Description
Project Role :Custom Software EngineerProject 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 :Java Full Stack Development
Good to have skills :NA
Minimum 12 year(s) of experience is required
Educational Qualification :15 years full time educationRoleSummary
Design and deliver enterprise-grade, full-stack solutions leveraging AgentAI tools for accelerated development. Act as a bridge between traditional engineering teams and AI-native specialists, enabling productivity uplift and scalability without deep ML model training or MLOps ownership.
Key Responsibilities
Solution Architecture
oDefine end-to-end architecture for full-stack enterprise applications integrating AgentAI copilots, pre-built AI services, and APIs.
oEnsure compliance with SDLC, security, and performance standards while embedding AI-assisted workflows.
AI Integration
oUse AgentAI tools and LLM-based copilots for coding, testing, debugging, documentation, and design acceleration.
oIncorporate AI services (e.g., RAG-based retrieval, conversational APIs) into enterprise systems.
Full-Stack Design
oArchitect scalable front-end and back-end solutions using modern frameworks and cloud-native patterns.
oOptimize API design, data flows, and UI/UX for AI-assisted features.
Collaboration
oAct as a liaison between traditional engineering teams and AI-native squads drive adoption of AI-assisted development practices.
Governance Quality
oMaintain architectural integrity, scalability, and reliability enforce responsible AI usage and guardrails.
Must-Have
Qualifications
Solid foundation in enterprise engineering, SDLC, and domain/industry workflows.
Demonstrated capability in using copilots and LLM tools for software development tasks.
Practical understanding of AI concepts like RAG and limitations of LLMs.
Ability to deliver faster, higher-quality outcomes by combining human judgment with AI-assisted productivity.
Does not train models or design ML architectures focuses on integration and productivity uplift.
Programming Full-Stack Skills
Backend (Any 1 or more):
oJava (Spring Boot) microservices, API integration
o.NET (C#) enterprise application frameworks
oPython scripting, automation, AI API integration
Frontend:
oReact / Angular / Vue.js responsive UI development
oTypeScript / JavaScript modern front-end engineering
Additional:SQL/NoSQL, REST/GraphQL APIs, cloud-native skills (Azure/AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines.Additional Information:
- The candidate should have minimum 12 years of experience in Java Full Stack Development.
- A 15 years full time education is required.Qualification15 years full time education
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Blockchain Quality Assurance EngineerEmployement Type: Full timeContact Details:
Company: AccentureLocation(s): Chennai
Keyskills: software engineer kubernetes react ui ux sql microservices docker java debugging typescript graphql architecture front end python ai llm javascript nosql angular spring boot back end compliance full stack agile aws sdlc
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