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Key Responsibilities:

• Design and develop AI powered applications integrating Large Language Models (LLMs), including RAG, embeddings, and agent-based components.

• Define and contribute to scalable GenAI architectures, ensuring robustness, performance, and industrial readiness.

• Implement APIs, microservices, and AI pipelines within an industrial cloud environment.

• Support client teams through scoping, technical expertise, architecture reviews, audits, and best practice guidance.

• Ensure solution quality, security, compliance, and observability, following governance and risk management standards.

Required Profile:

• Strong backend engineering experience in Python, Node.js, or Java.

• Proficiency with GenAI frameworks such as LangChain, LlamaIndex, Hugging Face, and OpenAI API.

• Hands on exposure to at least one major cloud platform (Azure, AWS...