The Role
Design, build, and deploy production-grade Generative AI solutions using Python, FastAPI, and Azure. Develop RAG architectures, integrate LLMs with enterprise systems, engineer prompts and embeddings, optimize model performance, and manage AI workloads on Azure. Collaborate with data scientists and product teams, ensure responsible AI practices, and evaluate emerging AI technologies.
Summary Generated by Built In
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 Davidson
Phone: +31 20 369 0609 ; Extn : 151
LinkedIn: https://www.linkedin.com/in/giftsonpauldavidson/
Skills Required
- 7-10 years software engineering experience with at least 3+ years in AI/ML or Generative AI
- 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 orchestration frameworks
- Expertise in Microsoft Azure services including Azure OpenAI, Azure AI Services, Azure Functions, Azure Storage, 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
- Ability to architect end-to-end Generative AI solutions from concept to production
- Ability to integrate LLMs with enterprise applications, APIs, databases, and knowledge repositories
- Ability to troubleshoot AI, application, and cloud infrastructure challenges and communicate effectively with stakeholders
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The Company
What We Do
STAFIDE is a Netherlands-based niche technology talent consulting company operating across Europe. It helps organizations identify, recruit, and deploy technology professionals in areas including cybersecurity, cloud engineering, software development, data analytics, ERP, infrastructure, and digital transformation. Its services include recruitment, workforce engagement, secondment, onboarding support, workforce deployment, and workforce analytics that support technology hiring and expansion.
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