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We are looking for a highly experienced Senior GenAI & MLOps Engineer to join our client's team to help fulfill their growing Generative AI use-case backlog. In this role, you will be a key driver of the GenAI use-case funnel. You will provide strategic assistance and architectural advice on business proposals during their early stages, lead the design and implementation of solutions in later stages, and ensure seamless operational handovers.
Job Responsibility
Act as a technical advisor during early-stage business ideation, assessing the viability of GenAI initiatives
Design and implement end-to-end GenAI application architectures and pipelines
Develop robust, clean, and highly maintainable Python codebases
Deploy, operate, and monitor AI applications, integrating modern MLOps best practices
Lead high-level design decisions and align technical strategies with business goals
Manage stakeholders effectively, translating complex AI concepts for non-technical business partners
Design and build applications leveraging modern GenAI/LLM frameworks (e.g., LangChain) and Azure AI services
Ensure code quality by championing clean code principles, unit testing, and design patterns
Build CI/CD and MLOps pipelines to support continuous integration, testing, and deployment of machine learning assets
Facilitate the final stages of the project lifecycle by coordinating and executing thorough operational handovers
Requirements
Extensive Python coding experience with a strong software engineering foundation (clean code, design patterns, testing)
Deep experience developing and operating machine learning/artificial intelligence applications in enterprise environments
Hands-on expertise with LLM frameworks and orchestrators (e.g., LangChain or equivalent toolchains)
Strong working experience with Cloud AI services, particularly Azure AI services (Azure OpenAI, Azure Machine Learning)
Proven track record of taking the lead on critical system design and architectural decisions