As a Senior Python GenAI Engineer, you will:Design and develop Generative AI solutions leveraging Large Language Models (LLMs).Build scalable AI-powered applications using Python, FastAPI, and Azure services.Develop and maintain RAG (Retrieval-Augmented Generation) architectures.Integrate LLMs with enterprise applications, APIs, databases, and knowledge repositories.Engineer prompt frameworks and optimize model performance for business use cases.Deploy, monitor, and manage AI workloads on Azure cloud platforms.Collaborate with Data Scientists, AI Engineers, Product Teams, and Solution Architects.Evaluate emerging AI technologies and recommend innovative solutions.What You Bring to the Table:7–10 years of software engineering experience with at least 3+ years in AI/ML or Generative AI solutions.Strong proficiency in Python and backend development.Hands-on experience with FastAPI and API-driven architectures.Experience working with Large Language Models (OpenAI, Azure OpenAI, Llama, Claude, Mistral, or similar).Knowledge of RAG frameworks, vector databases, embeddings, and semantic search.Experience with LangChain, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks.Strong expertise in Microsoft Azure services including Azure OpenAI, Azure AI Services, Azure Functions, Azure Storage, Azure Kubernetes Service (AKS), and Azure DevOps.Experience with Docker, Kubernetes, CI/CD, and cloud-native application development.Understanding of AI governance, model evaluation, and responsible AI principles.You Should Possess the Ability to:Architect end-to-end Generative AI solutions from concept to production.Build highly scalable, secure, and performant AI applications.Optimize prompts, embeddings, and model outputs for business value.Work with structured and unstructured enterprise data sources.Troubleshoot AI, application, and cloud infrastructure challenges.Communicate complex AI concepts effectively to technical and business stakeholders.Drive innovation while maintaining production-grade engineering standards.What We Bring to the Table:Opportunity to work on cutting-edge Generative AI and LLM initiatives.Access to modern cloud, AI, and data engineering technologies.Challenging projects with enterprise-scale impact.Collaborative environment focused on innovation and knowledge sharing.Continuous learning, certifications, and professional growth opportunities.Flexible work culture with strong emphasis on technical excellence and career progression.Let’s Connect Want to discuss this opportunity in more detail? Feel free to reach out.Recruiter: Giftson Paul DavidsonPhone: +31 20 369 0609 ; Extn : 151E-mail: [email protected]: https://www.linkedin.com/in/giftsonpauldavidson/As a Senior Python GenAI Engineer, you will:Design and develop Generative AI solutions leveraging Large Language Models (LLMs).Build scalable AI-powered applications using Python, FastAPI, and Azure services.Develop and maintain RAG (Retrieval-Augmented Generation) architectures.Integrate LLMs with enterprise applications, APIs, databases, and knowledge repositories.Engineer prompt frameworks and optimize model performance for business use cases.Deploy, monitor, and manage AI workloads on Azure cloud platforms.Collaborate with Data Scientists, AI Engineers, Product Teams, and Solution Architects.Evaluate emerging AI technologies and recommend innovative solutions.What You Bring to the Table:7–10 years of software engineering experience with at least 3+ years in AI/ML or Generative AI solutions.Strong proficiency in Python and backend development.Hands-on experience with FastAPI and API-driven architectures.Experience working with Large Language Models (OpenAI, Azure OpenAI, Llama, Claude, Mistral, or similar).Knowledge of RAG frameworks, vector databases, embeddings, and semantic search.Experience with LangChain, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks.Strong expertise in Microsoft Azure services including Azure OpenAI, Azure AI Services, Azure Functions, Azure Storage, Azure Kubernetes Service (AKS), and Azure DevOps.Experience with Docker, Kubernetes, CI/CD, and cloud-native application development.Understanding of AI governance, model evaluation, and responsible AI principles.You Should Possess the Ability to:Architect end-to-end Generative AI solutions from concept to production.Build highly scalable, secure, and performant AI applications.Optimize prompts, embeddings, and model outputs for business value.Work with structured and unstructured enterprise data sources.Troubleshoot AI, application, and cloud infrastructure challenges.Communicate complex AI concepts effectively to technical and business stakeholders.Drive innovation while maintaining production-grade engineering standards.What We Bring to the Table:Opportunity to work on cutting-edge Generative AI and LLM initiatives.Access to modern cloud, AI, and data engineering technologies.Challenging projects with enterprise-scale impact.Collaborative environment focused on innovation and knowledge sharing.Continuous learning, certifications, and professional growth opportunities.Flexible work culture with strong emphasis on technical excellence and career progression.Let’s Connect Want to discuss this opportunity in more detail? Feel free to reach out.Recruiter: Giftson Paul DavidsonPhone: +31 20 369 0609 ; Extn : 151E-mail: [email protected]: https://www.linkedin.com/in/giftsonpauldavidson/As a Senior Python GenAI Engineer, you will:As a Senior Python GenAI Engineer, you will:As a Senior Python GenAI Engineer, you will:

• Design and develop Generative AI solutions leveraging Large Language Models (LLMs).

Design and develop Generative AI solutions leveraging Large Language Models (LLMs).Design and develop Generative AI solutions leveraging Large Language Models (LLMs).

• Build scalable AI-powered applications using Python, FastAPI, and Azure services.

Build scalable AI-powered applications using Python, FastAPI, and Azure services.Build scalable AI-powered applications using Python, FastAPI, and Azure services.

• Develop and maintain RAG (Retrieval-Augmented Generation) architectures.

Develop and maintain RAG (Retrieval-Augmented Generation) architectures.Develop and maintain RAG (Retrieval-Augmented Generation) architectures.

• Integrate LLMs with enterprise applications, APIs, databases, and knowledge repositories.

Integrate LLMs with enterprise applications, APIs, databases, and knowledge repositories.Integrate LLMs with enterprise applications, APIs, databases, and knowledge repositories.

• Engineer prompt frameworks and optimize model performance for business use cases.

Engineer prompt frameworks and optimize model performance for business use cases.Engineer prompt frameworks and optimize model performance for business use cases.

• Deploy, monitor, and manage AI workloads on Azure cloud platforms.

Deploy, monitor, and manage AI workloads on Azure cloud platforms.Deploy, monitor, and manage AI workloads on Azure cloud platforms.

• Collaborate with Data Scientists, AI Engineers, Product Teams, and Solution Architects.

Collaborate with Data Scientists, AI Engineers, Product Teams, and Solution Architects.Collaborate with Data Scientists, AI Engineers, Product Teams, and Solution Architects.

• Evaluate emerging AI technologies and recommend innovative solutions.

Evaluate emerging AI technologies and recommend innovative solutions.Evaluate emerging AI technologies and recommend innovative solutions.What You Bring to the Table:What You Bring to the Table:What You Bring to the Table:

• 7–10 years of software engineering experience with at least 3+ years in AI/ML or Generative AI solutions.

7–10 years of software engineering experience with at least 3+ years in AI/ML or Generative AI solutions.7–10 years of software engineering experience with at least 3+ years in AI/ML or Generative AI solutions.

• Strong proficiency in Python and backend development.

Strong proficiency in Python and backend development.Strong proficiency in Python and backend development.

• Hands-on experience with FastAPI and API-driven architectures.

Hands-on experience with FastAPI and API-driven architectures.Hands-on experience with FastAPI and API-driven architectures.

• Experience working with Large Language Models (OpenAI, Azure OpenAI, Llama, Claude, Mistral, or similar).

Experience working with Large Language Models (OpenAI, Azure OpenAI, Llama, Claude, Mistral, or similar).Experience working with Large Language Models (OpenAI, Azure OpenAI, Llama, Claude, Mistral, or similar).

• Knowledge of RAG frameworks, vector databases, embeddings, and semantic search.

Knowledge of RAG frameworks, vector databases, embeddings, and semantic search.Knowledge of RAG frameworks, vector databases, embeddings, and semantic search.

• Experience with LangChain, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks.

Experience with LangChain, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks.Experience with LangChain, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks.

• Strong expertise in Microsoft Azure services including Azure OpenAI, Azure AI Services, Azure Functions, Azure Storage, Azure Kubernetes Service (AKS), and Azure DevOps.

Strong expertise in Microsoft Azure services including Azure OpenAI, Azure AI Services, Azure Functions, Azure Storage, Azure Kubernetes Service (AKS), and Azure DevOps.Strong expertise in Microsoft Azure services including Azure OpenAI, Azure AI Services, Azure Functions, Azure Storage, Azure Kubernetes Service (AKS), and Azure DevOps.

• Experience with Docker, Kubernetes, CI/CD, and cloud-native application development.

Experience with Docker, Kubernetes, CI/CD, and cloud-native application development.Experience with Docker, Kubernetes, CI/CD, and cloud-native application development.

• Understanding of AI governance, model evaluation, and responsible AI principles.

Understanding of AI governance, model evaluation, and responsible AI principles.Understanding of AI governance, model evaluation, and responsible AI principles.You Should Possess the Ability to:You Should Possess the Ability to:You Should Possess the Ability to:

• Architect end-to-end Generative AI solutions from concept to production.

Architect end-to-end Generative AI solutions from concept to production.Architect end-to-end Generative AI solutions from concept to production.

• Build highly scalable, secure, and performant AI applications.

Build highly scalable, secure, and performant AI applications.Build highly scalable, secure, and performant AI applications.

• Optimize prompts, embeddings, and model outputs for business value.

Optimize prompts, embeddings, and model outputs for business value.Optimize prompts, embeddings, and model outputs for business value.

• Work with structured and unstructured enterprise data sources.

Work with structured and unstructured enterprise data sources.Work with structured and unstructured enterprise data sources.

• Troubleshoot AI, application, and cloud infrastructure challenges.

Troubleshoot AI, application, and cloud infrastructure challenges.Troubleshoot AI, application, and cloud infrastructure challenges.

• Communicate complex AI concepts effectively to technical and business stakeholders.

Communicate complex AI concepts effectively to technical and business stakeholders.Communicate complex AI concepts effectively to technical and business stakeholders.

• Drive innovation while maintaining production-grade engineering standards.

Drive innovation while maintaining production-grade engineering standards.Drive innovation while maintaining production-grade engineering standards.What We Bring to the Table:What We Bring to the Table:What We Bring to the Table:

• Opportunity to work on cutting-edge Generative AI and LLM initiatives.

Opportunity to work on cutting-edge Generative AI and LLM initiatives.Opportunity to work on cutting-edge Generative AI and LLM initiatives.

• Access to modern cloud, AI, and data engineering technologies.

Access to modern cloud, AI, and data engineering technologies.Access to modern cloud, AI, and data engineering technologies.

• Challenging projects with enterprise-scale impact.

Challenging projects with enterprise-scale impact.Challenging projects with enterprise-scale impact.

• Collaborative environment focused on innovation and knowledge sharing.

Collaborative environment focused on innovation and knowledge sharing.Collaborative environment focused on innovation and knowledge sharing.

• Continuous learning, certifications, and professional growth opportunities.

Continuous learning, certifications, and professional growth opportunities.Continuous learning, certifications, and professional growth opportunities.

• Flexible work culture with strong emphasis on technical excellence and career progression.

Flexible work culture with strong emphasis on technical excellence and career progression.Flexible work culture with strong emphasis on technical excellence and career progression.Let’s ConnectLet’s ConnectLet’s ConnectWant to discuss this opportunity in more detail? Feel free to reach out.Want to discuss this opportunity in more detail? Feel free to reach out.Recruiter: Giftson Paul DavidsonRecruiter: Giftson Paul DavidsonRecruiterPhone: +31 20 369 0609 ; Extn : 151Phone: +31 20 369 0609 ; Extn : 151PhoneE-mail: [email protected]:E-mail[email protected]@stafide.nlLinkedIn: https://www.linkedin.com/in/giftsonpauldavidson/LinkedIn:LinkedInhttps://www.linkedin.com/in/giftsonpauldavidson/https://www.linkedin.com/in/giftsonpauldavidson/I'm interested{{criteriaIndex}} {{field}} {{captialize(condition)}} ( ) {{cxPropHelpText}} {{cxPropField.consent_details.description}} {{record.Posting_Title}} {{record.Posting_Title}} {{record.Posting_Title}} {{candidate.Email}} {{topMessage}} Job Details {{topMessage}} previous next {{title}} {{score}}% Job Description {{unescape(sanitizeHTML(descriptionHTML))}} {{message}} Step {{curStepInMandatorySecPrompt}}/{{totalNumOfStepsInMandatorySecPrompt}} For privacy and security purposes, please go through the following points and provide consent. Accept Decline {{getI18n("zr.careers.publicpage.meta.joblisting")}} {{getI18n("zr.careers.publicpage.meta.joblisting")}} {{cxPropAssessment.name}} {{getI18n("zr.questionnaire.question.information.heading")}} {{getI18n("zr.cw.autofill.head")}} {{cxPropBodyMessage}} {{getI18n("zr.careers.autopopulate.success")}} {{getI18n("zr.cw.apply.sign",cxPropCompanyInfo.name)}} {{if(cxPropDetails.applyWithSeekButton,cxPropDetails.applyWithSeekButton.buttonLabel,getI18n("zr.quickapply.apply.toggle","Seek"))}} {{getI18n('zr.eeo.questionnaire.portal.maintitle')}} {{botName}} {{getI18n("zr.zia.sb.consent.msg1")}}{{criteriaIndex}}{{criteriaIndex}}{{field}} {{captialize(condition)}}{{field}}{{captialize(condition)}}( )(){{cxPropHelpText}}{{cxPropHelpText}}{{cxPropField.consent_details.description}}

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