Z
Zensar
AI Engineer
AI Engineers || Offshore
On-siteSeniorAI Engineerposted 1w ago
Role summaryAI-generated
This AI Engineer role focuses on designing and deploying generative AI solutions, including prompt engineering and RAG, while ensuring responsible AI through guardrails and human-in-the-loop reviews. The position also involves modernizing legacy applications using AI-driven code comprehension, reverse engineering, and automated testing pipelines.
Skills required
About this role
AI & Generative AI Development
- Design, build, and deploy AI/GenAI-powered enterprise solutions.
- Develop AI agents, agentic workflows, and automation pipelines.
- Implement Prompt Engineering, RAG (Retrieval-Augmented Generation), and AI orchestration frameworks.
- Create guardrails, validation mechanisms, and human-in-the-loop review processes to ensure responsible AI adoption.
- Optimize AI solution performance, accuracy, and reliability.
Application Modernization
- Support legacy modernization and transformation programs using AI-driven approaches.
- Leverage AI for:
- Code comprehension
- Reverse engineering
- Business rule extraction
- Dependency mapping
- Documentation generation
- Test generation and automation
- Code migration and modernization acceleration
- Work with legacy technologies such as HP NonStop, COBOL, C++, batch processing, or similar platforms.
Software Engineering & Cloud Development
- Develop and maintain enterprise applications using .NET/C#, ASP.NET, and Web APIs.
- Build AI-enhanced applications and services integrated with existing enterprise systems.
- Develop automation solutions using Python and AI frameworks.
- Work with Azure AI Services, Azure OpenAI, cloud-native services, and modern engineering platforms.
- Collaborate on API integrations, microservices, CI/CD pipelines, and DevOps initiatives.
Responsibilities
AI & Generative AI Development
- Design, build, and deploy AI/GenAI-powered enterprise solutions.
- Develop AI agents, agentic workflows, and automation pipelines.
- Implement Prompt Engineering, RAG (Retrieval-Augmented Generation), and AI orchestration frameworks.
- Create guardrails, validation mechanisms, and human-in-the-loop review processes to ensure responsible AI adoption.
- Optimize AI solution performance, accuracy, and reliability.
Application Modernization
- Support legacy modernization and transformation programs using AI-driven approaches.
- Leverage AI for:
- Code comprehension
- Reverse engineering
- Business rule extraction
- Dependency mapping
- Documentation generation
- Test generation and automation
- Code migration and modernization acceleration
- Work with legacy technologies such as HP NonStop, COBOL, C++, batch processing, or similar platforms.
Software Engineering & Cloud Development
- Develop and maintain enterprise applications using .NET/C#, ASP.NET, and Web APIs.
- Build AI-enhanced applications and services integrated with existing enterprise systems.
- Develop automation solutions using Python and AI frameworks.
- Work with Azure AI Services, Azure OpenAI, cloud-native services, and modern engineering platforms.
- Collaborate on API integrations, microservices, CI/CD pipelines, and DevOps initiatives.
Qualifications
AI & Generative AI Development
- Design, build, and deploy AI/GenAI-powered enterprise solutions.
- Develop AI agents, agentic workflows, and automation pipelines.
- Implement Prompt Engineering, RAG (Retrieval-Augmented Generation), and AI orchestration frameworks.
- Create guardrails, validation mechanisms, and human-in-the-loop review processes to ensure responsible AI adoption.
- Optimize AI solution performance, accuracy, and reliability.
Application Modernization
- Support legacy modernization and transformation programs using AI-driven approaches.
- Leverage AI for:
- Code comprehension
- Reverse engineering
- Business rule extraction
- Dependency mapping
- Documentation generation
- Test generation and automation
- Code migration and modernization acceleration
- Work with legacy technologies such as HP NonStop, COBOL, C++, batch processing, or similar platforms.
Software Engineering & Cloud Development
- Develop and maintain enterprise applications using .NET/C#, ASP.NET, and Web APIs.
- Build AI-enhanced applications and services integrated with existing enterprise systems.
- Develop automation solutions using Python and AI frameworks.
- Work with Azure AI Services, Azure OpenAI, cloud-native services, and modern engineering platforms.
- Collaborate on API integrations, microservices, CI/CD pipelines, and DevOps initiatives.
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