Senior Python GenAI Engineer
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Job Summary
- 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.
- 710 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.
- 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.
- 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.
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: 710 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. Lets Connect Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Giftson Paul Davidson Phone:; Extn : 151 E-mail: LinkedIn:
