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Accenture in India
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Custom Software Engineer

Custom Software Engineer

Accenture in India

7 years

0 Lacs

mumbai maharashtra india

Posted:6 days ago| Platform:

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Skills Required

software design code agile azure devops support ai testing reliability test strategies data integration cdp drive extract report management metrics reports security compliance reporting aws api postman jest node.js

Work Mode

On-site

Job Type

Full Time

Job Description

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 :

Microsoft Azure DevOps

Good to have skills :

Minimum 7.5 Year(s) Of Experience Is Required

Educational Qualification :

15 years full time educationSummary: We are seeking a Tester to support AI/LLM creation workstreams. This role requires strong software testing experience, familiarity with Agile SDLC, and hands-on exposure to testing AI/LLM-based solutions. The tester will work closely with cross-functional teams to ensure quality, accuracy, and reliability of AI-driven APIs and prompt-based solutions. Roles & Responsibilities:

Design and execute test strategies, test approaches, and test plans for AI/LLM-based solutions.
Create detailed test cases, test data, and execute functional, integration, and system testing.
Test APIs/services that receive file attachments from the CDP website and send them to LLMs for evaluation.
Validate LLM responses that drive on-screen behavior and business logic.
Test AI prompt-based solutions that extract key attributes from Accenture contracts.
Partner with Accenture Legal and CIO teams to validate AI prompt outputs from contract intelligence tools.
Perform validation of multi-modal LLMs (text and image-based inputs).
Track, document, and report defects using standard defect management tools.
Produce standard testing metrics and reports for management review.
Work within Agile delivery teams and actively participate in sprint ceremonies.
Ensure overall quality assurance for AI-enabled applications following security and compliance standards. Professional & Technical Skills:
Strong software testing experience.
Hands-on experience with AI/LLM prompting and response evaluation.
Experience testing APIs and backend services.
Familiarity with SDLC and Agile delivery methodologies.
Experience creating test cases, executing tests, and reporting defects.
Understanding of testing metrics and quality reporting.
Multi-modal LLMs (text and image processing).
AWS cloud technologies.
Agile delivery methods.
API testing using Postman or Bruno.
Experience with Azure DevOps.
Knowledge of Jest for Node.js testing. Additional Information:
The candidate should have minimum 7.5 years of experience in Microsoft Azure DevOps.
We don’t have location constraints.
A 15-year full-time education is required.

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Custom Software Engineer