AES - DE - Generative AI Prompt Engineers

< div> < p> < span> < span> < strong> Key Responsibilities< /strong> < /span> < /span> < /p> < p> < span> < span> < strong> 1. AI Agents for Application Development< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Design and build < strong> AI agents that assist in application development lifecycle (SDLC)< /strong> < /span> < /span> < /li> < li> < span> < span> Develop agents for: < /span> < /span> < ul> < li> < span> < span> < strong> Code generation & scaffolding< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> API development & integration< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> Code refactoring and optimization< /strong> < /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Enable < strong> developer copilots< /strong> for faster feature delivery< /span> < /span> < /li> < /ul> < p> < span> < span> < strong> 2. AI Agents for Application Enhancements< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Build agents to: < /span> < /span> < ul> < li> < span> < span> Analyze existing codebases and suggest < strong> enhancements or optimizations< /strong> < /span> < /span> < /li> < li> < span> < span> Automate < strong> bug detection and resolution< /strong> < /span> < /span> < /li> < li> < span> < span> Support < strong> impact analysis for changes< /strong> < /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Develop agents for < strong> legacy modernization and code migration (e.g., Java/.NET upgrades)< /strong> < /span> < /span> < /li> < /ul> < p> < span> < span> < strong> 3. Testing & QA Automation Agents< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Create agents to: < /span> < /span> < ul> < li> < span> < span> Automatically generate < strong> unit, integration, and regression test cases< /strong> < /span> < /span> < /li> < li> < span> < span> Perform < strong> test execution and defect prediction< /strong> < /span> < /span> < /li> < li> < span> < span> Enable < strong> self-healing test automation frameworks< /strong> < /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> 4. LLM & Agent Framework Implementation< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Build solutions using frameworks such as: < /span> < /span> < ul> < li> < span> < span> < strong> LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI< /strong> < /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Implement: < /span> < /span> < ul> < li> < span> < span> < strong> Multi-agent orchestration (planner, executor, reviewer agents)< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> Tool-using agents (Git, CI/CD, APIs, databases)< /strong> < /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> 5. RAG & Context Engineering< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Implement < strong> RAG pipelines< /strong> using application code repositories, documentation, and APIs< /span> < /span> < /li> < li> < span> < span> Build < strong> context-aware agents< /strong> using: < /span> < /span> < ul> < li> < span> < span> Codebases (GitHub, Azure DevOps)< /span> < /span> < /li> < li> < span> < span> Knowledge repositories (Confluence, SharePoint)< /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> 6. DevOps & Integration< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Integrate agents into: < /span> < /span> < ul> < li> < span> < span> < strong> CI/CD pipelines (Azure DevOps, GitHub Actions)< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> Developer tools (IDE plugins, Copilot extensions)< /strong> < /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Develop APIs/microservices to expose agent capabilities< /span> < /span> < /li> < /ul> < p> < span> < span> < strong> 7. Evaluation & Optimization< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Define metrics for: < /span> < /span> < ul> < li> < span> < span> Developer productivity improvement< /span> < /span> < /li> < li> < span> < span> Code quality and defect reduction< /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Optimize for < strong> cost, latency, and accuracy of LLM usage< /strong> < /span> < /span> < /li> < /ul> < p> < span> < span> < strong> 8. Governance & Security< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Ensure: < /span> < /span> < ul> < li> < span> < span> < strong> Secure code handling and IP protection< /strong> < /span> < /span> < /li> < li> < span> < span> Compliance with < strong> enterprise AI governance< /strong> < /span> < /span> < /li> < li> < span> < span> Guardrails to prevent insecure or non-compliant code generation< /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> Required Skills & Experience< /strong> < /span> < /span> < /p> < p> < span> < span> < strong> Core Skills< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Strong programming skills in < strong> Python (mandatory)< /strong> and at least one of < strong> Java/.NET/Node.js< /strong> < /span> < /span> < /li> < li> < span> < span> Hands-on experience with < strong> application development & SDLC processes< /strong> < /span> < /span> < /li> < li> < span> < span> Experience with < strong> REST APIs, microservices architecture< /strong> < /span> < /span> < /li> < /ul> < p> < span> < span> < strong> AI / GenAI Skills< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Experience building < strong> AI-powered developer tools or agents< /strong> < /span> < /span> < /li> < li> < span> < span> Strong knowledge of: < /span> < /span> < ul> < li> < span> < span> < strong> LLMs (OpenAI, Azure OpenAI, open-source models)< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> Prompt engineering & fine-tuning basics< /strong> < /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Experience in < strong> RAG-based solutions< /strong> < /span> < /span> < /li> < /ul> < p> < span> < span> < strong> Agent Frameworks< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Hands-on with: < /span> < /span> < ul> < li> < span> < span> < strong> LangChain / Semantic Kernel / LlamaIndex< /strong> < /span> < /span> < /li> < li> < span> < span> Exposure to < strong> AutoGen / CrewAI / multi-agent patterns< /strong> < /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> DevOps & Tools< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Familiarity with: < /span> < /span> < ul> < li> < span> < span> < strong> GitHub / Azure DevOps repositories< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> CI/CD pipelines< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> Docker / Kubernetes (preferred)< /strong> < /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> Good to Have< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Experience with < strong> GitHub Copilot or similar developer productivity tools< /strong> < /span> < /span> < /li> < li> < span> < span> Exposure to < strong> code analysis tools (SonarQube, SAST/DAST)< /strong> < /span> < /span> < /li> < li> < span> < span> Experience in < strong> legacy modernization projects< /strong> < /span> < /span> < /li> < li> < span> < span> BFSI domain experience (for enterprise use cases)< /span> < /span> < /li> < /ul> < p> < span> < span> < strong> Experience< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> < strong> 5 10 years< /strong> total experience< /span> < /span> < /li> < li> < span> < span> < strong> 2+ years in GenAI / AI-led development (preferred)< /strong> < /span> < /span> < /li> < /ul> < p> < span> < span> < strong> Key Responsibilities< /strong> < /span> < /span> < /p> < p> < span> < span> < strong> 1. AI Agents for Application Development< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Design and build < strong> AI agents that assist in application development lifecycle (SDLC)< /strong> < /span> < /span> < /li> < li> < span> < span> Develop agents for: < /span> < /span> < ul> < li> < span> < span> < strong> Code generation & scaffolding< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> API development & integration< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> Code refactoring and optimization< /strong> < /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Enable < strong> developer copilots< /strong> for faster feature delivery< /span> < /span> < /li> < /ul> < p> < span> < span> < strong> 2. AI Agents for Application Enhancements< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Build agents to: < /span> < /span> < ul> < li> < span> < span> Analyze existing codebases and suggest < strong> enhancements or optimizations< /strong> < /span> < /span> < /li> < li> < span> < span> Automate < strong> bug detection and resolution< /strong> < /span> < /span> < /li> < li> < span> < span> Support < strong> impact analysis for changes< /strong> < /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Develop agents for < strong> legacy modernization and code migration (e.g., Java/.NET upgrades)< /strong> < /span> < /span> < /li> < /ul> < p> < span> < span> < strong> 3. Testing & QA Automation Agents< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Create agents to: < /span> < /span> < ul> < li> < span> < span> Automatically generate < strong> unit, integration, and regression test cases< /strong> < /span> < /span> < /li> < li> < span> < span> Perform < strong> test execution and defect prediction< /strong> < /span> < /span> < /li> < li> < span> < span> Enable < strong> self-healing test automation frameworks< /strong> < /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> 4. LLM & Agent Framework Implementation< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Build solutions using frameworks such as: < /span> < /span> < ul> < li> < span> < span> < strong> LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI< /strong> < /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Implement: < /span> < /span> < ul> < li> < span> < span> < strong> Multi-agent orchestration (planner, executor, reviewer agents)< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> Tool-using agents (Git, CI/CD, APIs, databases)< /strong> < /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> 5. RAG & Context Engineering< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Implement < strong> RAG pipelines< /strong> using application code repositories, documentation, and APIs< /span> < /span> < /li> < li> < span> < span> Build < strong> context-aware agents< /strong> using: < /span> < /span> < ul> < li> < span> < span> Codebases (GitHub, Azure DevOps)< /span> < /span> < /li> < li> < span> < span> Knowledge repositories (Confluence, SharePoint)< /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> 6. DevOps & Integration< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Integrate agents into: < /span> < /span> < ul> < li> < span> < span> < strong> CI/CD pipelines (Azure DevOps, GitHub Actions)< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> Developer tools (IDE plugins, Copilot extensions)< /strong> < /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Develop APIs/microservices to expose agent capabilities< /span> < /span> < /li> < /ul> < p> < span> < span> < strong> 7. Evaluation & Optimization< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Define metrics for: < /span> < /span> < ul> < li> < span> < span> Developer productivity improvement< /span> < /span> < /li> < li> < span> < span> Code quality and defect reduction< /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Optimize for < strong> cost, latency, and accuracy of LLM usage< /strong> < /span> < /span> < /li> < /ul> < p> < span> < span> < strong> 8. Governance & Security< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Ensure: < /span> < /span> < ul> < li> < span> < span> < strong> Secure code handling and IP protection< /strong> < /span> < /span> < /li> < li> < span> < span> Compliance with < strong> enterprise AI governance< /strong> < /span> < /span> < /li> < li> < span> < span> Guardrails to prevent insecure or non-compliant code generation< /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> Required Skills & Experience< /strong> < /span> < /span> < /p> < p> < span> < span> < strong> Core Skills< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Strong programming skills in < strong> Python (mandatory)< /strong> and at least one of < strong> Java/.NET/Node.js< /strong> < /span> < /span> < /li> < li> < span> < span> Hands-on experience with < strong> application development & SDLC processes< /strong> < /span> < /span> < /li> < li> < span> < span> Experience with < strong> REST APIs, microservices architecture< /strong> < /span> < /span> < /li> < /ul> < p> < span> < span> < strong> AI / GenAI Skills< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Experience building < strong> AI-powered developer tools or agents< /strong> < /span> < /span> < /li> < li> < span> < span> Strong knowledge of: < /span> < /span> < ul> < li> < span> < span> < strong> LLMs (OpenAI, Azure OpenAI, open-source models)< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> Prompt engineering & fine-tuning basics< /strong> < /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Experience in < strong> RAG-based solutions< /strong> < /span> < /span> < /li> < /ul> < p> < span> < span> < strong> Agent Frameworks< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Hands-on with: < /span> < /span> < ul> < li> < span> < span> < strong> LangChain / Semantic Kernel / LlamaIndex< /strong> < /span> < /span> < /li> < li> < span> < span> Exposure to < strong> AutoGen / CrewAI / multi-agent patterns< /strong> < /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> DevOps & Tools< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Familiarity with: < /span> < /span> < ul> < li> < span> < span> < strong> GitHub / Azure DevOps repositories< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> CI/CD pipelines< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> Docker / Kubernetes (preferred)< /strong> < /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> Good to Have< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Experience with < strong> GitHub Copilot or similar developer productivity tools< /strong> < /span> < /span> < /li> < li> < span> < span> Exposure to < strong> code analysis tools (SonarQube, SAST/DAST)< /strong> < /span> < /span> < /li> < li> < span> < span> Experience in < strong> legacy modernization projects< /strong> < /span> < /span> < /li> < li> < span> < span> BFSI domain experience (for enterprise use cases)< /span> < /span> < /li> < /ul> < p> < span> < span> < strong> Experience< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> < strong> 5 10 years< /strong> total experience< /span> < /span> < /li> < li> < span> < span> < strong> 2+ years in GenAI / AI-led development (preferred)< /strong> < /span> < /span> < /li> < /ul> < p> < span> < span> < strong> Key Responsibilities< /strong> < /span> < /span> < /p> < p> < span> < span> < strong> 1. AI Agents for Application Development< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Design and build < strong> AI agents that assist in application development lifecycle (SDLC)< /strong> < /span> < /span> < /li> < li> < span> < span> Develop agents for: < /span> < /span> < ul> < li> < span> < span> < strong> Code generation & scaffolding< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> API development & integration< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> Code refactoring and optimization< /strong> < /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Enable < strong> developer copilots< /strong> for faster feature delivery< /span> < /span> < /li> < /ul> < p> < span> < span> < strong> 2. AI Agents for Application Enhancements< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Build agents to: < /span> < /span> < ul> < li> < span> < span> Analyze existing codebases and suggest < strong> enhancements or optimizations< /strong> < /span> < /span> < /li> < li> < span> < span> Automate < strong> bug detection and resolution< /strong> < /span> < /span> < /li> < li> < span> < span> Support < strong> impact analysis for changes< /strong> < /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Develop agents for < strong> legacy modernization and code migration (e.g., Java/.NET upgrades)< /strong> < /span> < /span> < /li> < /ul> < p> < span> < span> < strong> 3. Testing & QA Automation Agents< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Create agents to: < /span> < /span> < ul> < li> < span> < span> Automatically generate < strong> unit, integration, and regression test cases< /strong> < /span> < /span> < /li> < li> < span> < span> Perform < strong> test execution and defect prediction< /strong> < /span> < /span> < /li> < li> < span> < span> Enable < strong> self-healing test automation frameworks< /strong> < /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> 4. LLM & Agent Framework Implementation< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Build solutions using frameworks such as: < /span> < /span> < ul> < li> < span> < span> < strong> LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI< /strong> < /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Implement: < /span> < /span> < ul> < li> < span> < span> < strong> Multi-agent orchestration (planner, executor, reviewer agents)< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> Tool-using agents (Git, CI/CD, APIs, databases)< /strong> < /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> 5. RAG & Context Engineering< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Implement < strong> RAG pipelines< /strong> using application code repositories, documentation, and APIs< /span> < /span> < /li> < li> < span> < span> Build < strong> context-aware agents< /strong> using: < /span> < /span> < ul> < li> < span> < span> Codebases (GitHub, Azure DevOps)< /span> < /span> < /li> < li> < span> < span> Knowledge repositories (Confluence, SharePoint)< /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> 6. DevOps & Integration< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Integrate agents into: < /span> < /span> < ul> < li> < span> < span> < strong> CI/CD pipelines (Azure DevOps, GitHub Actions)< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> Developer tools (IDE plugins, Copilot extensions)< /strong> < /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Develop APIs/microservices to expose agent capabilities< /span> < /span> < /li> < /ul> < p> < span> < span> < strong> 7. Evaluation & Optimization< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Define metrics for: < /span> < /span> < ul> < li> < span> < span> Developer productivity improvement< /span> < /span> < /li> < li> < span> < span> Code quality and defect reduction< /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Optimize for < strong> cost, latency, and accuracy of LLM usage< /strong> < /span> < /span> < /li> < /ul> < p> < span> < span> < strong> 8. Governance & Security< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Ensure: < /span> < /span> < ul> < li> < span> < span> < strong> Secure code handling and IP protection< /strong> < /span> < /span> < /li> < li> < span> < span> Compliance with < strong> enterprise AI governance< /strong> < /span> < /span> < /li> < li> < span> < span> Guardrails to prevent insecure or non-compliant code generation< /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> Required Skills & Experience< /strong> < /span> < /span> < /p> < p> < span> < span> < strong> Core Skills< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Strong programming skills in < strong> Python (mandatory)< /strong> and at least one of < strong> Java/.NET/Node.js< /strong> < /span> < /span> < /li> < li> < span> < span> Hands-on experience with < strong> application development & SDLC processes< /strong> < /span> < /span> < /li> < li> < span> < span> Experience with < strong> REST APIs, microservices architecture< /strong> < /span> < /span> < /li> < /ul> < p> < span> < span> < strong> AI / GenAI Skills< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Experience building < strong> AI-powered developer tools or agents< /strong> < /span> < /span> < /li> < li> < span> < span> Strong knowledge of: < /span> < /span> < ul> < li> < span> < span> < strong> LLMs (OpenAI, Azure OpenAI, open-source models)< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> Prompt engineering & fine-tuning basics< /strong> < /span> < /span> < /li> < /ul> < /li> < li> < span> < span> Experience in < strong> RAG-based solutions< /strong> < /span> < /span> < /li> < /ul> < p> < span> < span> < strong> Agent Frameworks< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Hands-on with: < /span> < /span> < ul> < li> < span> < span> < strong> LangChain / Semantic Kernel / LlamaIndex< /strong> < /span> < /span> < /li> < li> < span> < span> Exposure to < strong> AutoGen / CrewAI / multi-agent patterns< /strong> < /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> DevOps & Tools< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Familiarity with: < /span> < /span> < ul> < li> < span> < span> < strong> GitHub / Azure DevOps repositories< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> CI/CD pipelines< /strong> < /span> < /span> < /li> < li> < span> < span> < strong> Docker / Kubernetes (preferred)< /strong> < /span> < /span> < /li> < /ul> < /li> < /ul> < p> < span> < span> < strong> Good to Have< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> Experience with < strong> GitHub Copilot or similar developer productivity tools< /strong> < /span> < /span> < /li> < li> < span> < span> Exposure to < strong> code analysis tools (SonarQube, SAST/DAST)< /strong> < /span> < /span> < /li> < li> < span> < span> Experience in < strong> legacy modernization projects< /strong> < /span> < /span> < /li> < li> < span> < span> BFSI domain experience (for enterprise use cases)< /span> < /span> < /li> < /ul> < p> < span> < span> < strong> Experience< /strong> < /span> < /span> < /p> < ul> < li> < span> < span> < strong> 5 10 years< /strong> total experience< /span> < /span> < /li> < li> < span> < span> < strong> 2+ years in GenAI / AI-led development (preferred)< /strong> < /span> < /span> < /li> < /ul> < /div> Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.