Haryana Quality assurance engineer Jobs – 133 Open Jobs Today

AI Engineer / Agent Developer
Metyis AG —Gurugram, Haryana
- Full-time
- Hybrid work
- Azure
- Data analysis skills
- SQL
Quick apply
17h
Manager, IT Application Services Developer- GCC
Alvarez & Marsal —Gurugram, Haryana
- Computer Science
- B.Sc
- Research
Java Technical Architect | EXP : 12+ yrs
Datamatics Global Services Limited —Gurugram, Haryana
- Email
- Azure
- DevOps
- Research
Java Full Stack Developer
CoolBoots Media —Gurugram, Haryana
- Java
- Databases
- SQL
Dot Net Architect
Venture7 Technology Private Limited —Faridabad, Haryana
- Call employer
- Azure
- Software troubleshooting
- Salesforce
Manual Quality Assurance Engineer, SIMBA Team - Gurgaon, India
Speechify —Gurugram, Haryana
- Full-time
- Remote
- Computer Science
- B.Sc
- Project management
1h

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Manager, IT Application Services Developer- GCC
Alvarez & Marsal —Gurugram, Haryana
Candidate must have demonstrated experience in providing excellent customer service, including (but not limited to): Provide production support (on-call).

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AI Engineer / Agent Developer

Metyis AG
Gurugram, Haryana

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Job details

Full-time
17 hours ago

Qualifications

CI/CD
Azure
SAP HANA
Enterprise Software
SAP
Data analysis skills
Git
SAP BW 4HANA
Application development
SQL
Quality assurance
Bachelor's degree
Continuous integration
APIs
Metadata
SAP ERP
AI
ABAP
Communication skills
Python
Analytics

Full job description

Metyis is growing! We are looking for a AI Engineer/ Agent Developer with +4 years of relevant experience for a full-time position to join the Technology team at our Digital Campus in Porto.

Who we are

We are Metyis, a forward-thinking, global company that develops and delivers solutions around Big Data, Digital Commerce, Marketing and Design and provides Advisory services. We have offices in 15 locations with a talent pool of 1000+ employees and more than 50 nationalities, dedicated to creating long-lasting impact and growth for our business partners and clients.

Together with HUGO BOSS, our esteemed business partner, we have embarked on a joint venture and created the HUGO BOSS Digital Campus, dedicated to increasing the data analytics, eCommerce and technology capabilities of the company and boosting digital sales. The HUGO BOSS Digital Campus employees will help create a state-of-the-art data architecture infrastructure, advanced business analytics, and the development and enhancement of HUGO BOSS’ eCommerce platform and services.

This collaborative environment will provide the capabilities required for HUGO BOSS to maximise data usage and support its growth trajectory towards becoming the leading premium tech-driven fashion platform worldwide.

What we offer

Develop your professional career working with one of the major brands in the fashion industry
Lead a fast-growing international and diverse team
Driving to success a best in class E2E demand and supply planning initiative to improve the whole supply chain of the entire organization
Working with a world leading software vendor and one of the most advanced integrated business planning platforms in the world
Driving high-impact insights enhances decision-making across the entire organization

What you will do

Design, develop, and maintain AI-powered agents, copilots, and automation solutions supporting SAP migration and enterprise data platform modernization.
Build scalable backend services, APIs, orchestration workflows, and automation components for AI-enabled migration solutions.
Develop AI capabilities that analyze SAP BW objects, ABAP code, metadata, lineage, dependencies, interfaces, and migration complexity.
Build Retrieval-Augmented Generation (RAG) and context-management solutions using enterprise documentation, metadata, business rules, code repositories, and data catalogs.
Integrate AI applications with SAP repositories, DevOps pipelines, documentation platforms, source control systems, and enterprise data platforms.
Support migration activities including object discovery, impact analysis, source-to-target mapping, documentation generation, reconciliation, testing, and validation.
Partner with SAP Architects and domain experts to convert business knowledge into reusable AI context, structured metadata, and intelligent automation.
Implement human-in-the-loop review processes, approval workflows, traceability, and quality controls for AI-generated outputs.
Ensure AI solutions meet enterprise standards for security, governance, monitoring, observability, and responsible AI.
Contribute to reusable AI frameworks, development standards, automation accelerators, and engineering best practices

What you will bring

4+ years of experience in Software Engineering, AI Engineering, Data Engineering, Automation, or Enterprise Application Development.
Strong proficiency in Python and experience building production-grade applications, APIs, backend services, or automation platforms.
Hands-on experience developing AI applications using LLMs, AI agents, Retrieval-Augmented Generation (RAG), tool/function calling, and workflow automation.
Experience integrating AI solutions with enterprise applications, APIs, databases, documentation platforms, DevOps tools, and code repositories.
Strong understanding of software engineering best practices including Git, CI/CD, automated testing, secure development, code quality, and observability.
Experience working with Microsoft Azure, Azure AI Services, Azure OpenAI, Azure AI Foundry, Databricks, Microsoft Fabric, or similar cloud platforms.
Strong SQL and data analysis skills with experience validating data, investigating discrepancies, and working with source-to-target mappings.
Knowledge of enterprise data platforms, metadata management, data lineage, data quality, and analytics.
Understanding of AI governance, security, responsible AI principles, model evaluation, and enterprise access controls.
Excellent analytical, problem-solving, and stakeholder communication skills.

Nice to Have

Experience with SAP BW, SAP HANA, ABAP, SAP metadata, extractors, APIs, or SAP integration patterns.
Experience supporting SAP modernization, ERP migration, or enterprise transformation initiatives.
Exposure to automating technical documentation, code analysis, testing, migration support, or reconciliation processes.
Experience implementing human-in-the-loop AI workflows, evaluation frameworks, and quality assurance controls.
Experience collaborating across AI, Data Engineering, SAP, BI, CloudOps, and enterprise architecture teams.

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Refine Your Search

quality assurance engineer jobs in haryana

AI Engineer / Agent Developer

Manager, IT Application Services Developer- GCC

Java Technical Architect | EXP : 12+ yrs

Java Full Stack Developer

Dot Net Architect

Manual Quality Assurance Engineer, SIMBA Team - Gurgaon, India

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