About this role
Senior Python GenAI Engineer (ID: 3854)
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