PLooking for experienced AI Engineer with exposure to application backend engineering and DevOps mindset /ppbr/pulliMaintain and enhance CI/CD pipelines using tools like GitHub Actions, AWS CodePipeline, Jenkins, or ArgoCD. /liliDeveloped backend architecture for the AI Verification and Az ChatGPT Services using Python, FastAPI /liliUnderstand, develop and optimise highly scalable classifiers and tools leveraging machine learning, encoders and rule-based models /liliDesign and build solution using Domain-Driven-Design (DDD) and Test-Driven-Design (TDD) best standards /liliDesign, develop and maintain a LLM-as-a-judge production service for verification of AI content generated from source documents: HuggingFace, Transformers, Spacy, Nltk, BM25 /liliDesign, build and maintain a high-load RAG service with an ingestion service, message broker and /liliPerform prompt engineering including different options like Chain-of-Thoughts, Few-shot-learning for different tasks using different LLMs (Open AI, Anthropic, Google, including reasoning models) /liliProvide working knowledge support to one or more specific AI specialism frameworks (Tensorflow, Keras, PyTorch, BERT…) /liliProvide technical expertise in at least one AI specialism (graph recommendation, deep learning, natural language processing) /li /ulpbr/ppRequirements: /pulliBackend stack: Python, FastAPI, MongoDB, PostgreSQL, message queue, JWT-based authentication /liliAI Stack: Python, LangChain (or PydanticAI), Azure / AWS / Google model AI endpoints /liliDevOps: Azure, Docker, CI/CD, GitHub Actions, Terraform /liliTesting: pytest, DeepEval /liliEnglish C1 /li /ul