Senior GenAI Engineer

GenAI Solution Design & Development

• Design, develop and maintain enterprise-grade Generative AI solutions using modern AI engineering practices.
• Build reusable frameworks and components that can be leveraged across multiple AI initiatives.
• Translate business requirements into scalable and maintainable AI products and services.
• Contribute to the definition of AI architecture patterns and development standards.

LLM & Conversational AI

• Design, develop and optimize solutions based on Large Language Models (LLMs).
• Build and maintain advanced conversational AI solutions, including chatbots and voicebots.
• Develop mechanisms for model training, evaluation, monitoring and continuous improvement.
• Implement prompt engineering best practices, AI guardrails and responsible AI principles.

Retrieval-Augmented Generation (RAG)

• Design and implement scalable RAG architectures.
• Develop and optimize document ingestion, indexing and retrieval pipelines.
• Ensure performance, reliability and scalability of AI solutions in production environments.
• Implement monitoring and evaluation mechanisms for RAG-based systems.

AI Engineering & Industrialization

• Develop AI applications using Python and/or Java following software engineering best practices.
• Apply modern software development methodologies, including CI/CD, testing and code quality standards.
• Contribute to the industrialization of AI solutions and MLOps practices.
• Promote reusable assets, accelerators and standardized approaches across projects.

Cloud & AI Platform

• Leverage Azure AI services and Azure Machine Learning (Azure ML) to build, deploy and monitor AI solutions.
• Work closely with architects, data scientists and business stakeholders to deliver enterprise-scale AI capabilities.
• Ensure compliance with security, governance and operational requirements.

• Strong software engineering experience in Python and/or Java
• Solid understanding of software development lifecycle (SDLC) and engineering best practices
• Proven expertise in Generative AI, LLMs and Natural Language Processing (NLP)
• Experience developing and operating chatbots and voicebots
• Strong experience with Prompt Engineering and AI Guardrails
• Proven experience designing and implementing RAG (Retrieval-Augmented Generation) solutions

Experience with AI orchestration frameworks such as:

• LangChain

• Prompt Flow

• Semantic Kernel

• LlamaIndex

• or equivalent technologies

• Ability to translate business expectations into reusable and scalable AI products

• Experience with Azure Machine Learning (Azure ML)

Nice to Have

• Experience with MLOps and AI platform engineering
• Knowledge of Responsible AI and AI Governance practices
• Experience with vector databases and semantic search solutions
• Experience deploying enterprise AI solutions on Azure
• Familiarity with multi-agent and agentic AI architectures