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 : Java Full Stack Development

Valuable to have skills : NA

Minimum 15 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

Role Summary

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.AI Powered Tech Talent

Key Responsibilities

Solution Architecture

- 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.

AI Integration

- Use AgentAI tools and LLM-based copilots for coding, testing, debugging, documentation, and design acceleration.
- Incorporate AI services (e.g., RAG-based retrieval, conversational APIs) into enterprise systems.

Full-Stack Design

- Architect scalable front-end and back-end solutions using modern frameworks and cloud-native patterns.
- Optimize API design, data flows, and UI/UX for AI-assisted features.





Collaboration

- Act as a liaison between traditional engineering teams and AI-native squads drive adoption of AI-assisted development practices.

Governance & Quality

- Maintain 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):

- Java (Spring Boot) – microservices, API integration
- .NET (C#) – enterprise application frameworks
- Python – scripting, automation, AI API integration

Frontend:

- React / Angular / Vue.js – responsive UI development
- TypeScript / 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 15 years of experience in Java Full Stack Development.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.

📌 Custom Software Engineer (Secunderabad)
🏢 Accenture
📍 Secunderabad