Looking for experienced AI Engineer with exposure to application backend engineering and DevOps mindset
* Maintain and enhance CI/CD pipelines using tools like GitHub Actions, AWS CodePipeline, Jenkins, or ArgoCD.
* Developed backend architecture for the AI Verification and Az ChatGPT Services using Python, FastAPI
* Understand, develop and optimise highly scalable classifiers and tools leveraging machine learning, encoders and rule-based models
* Design and build solution using Domain-Driven-Design (DDD) and Test-Driven-Design (TDD) best standards
* Design, develop and maintain a LLM-as-a-judge production service for verification of AI content generated from source documents: HuggingFace, Transformers, Spacy, Nltk, BM25
* Design, build and maintain a high-load RAG service with an ingestion service, message broker and
* Perform 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)
* Provide working knowledge & support to one or more specific AI specialism frameworks (Tensorflow, Keras, PyTorch, BERT…)
* Provide technical expertise in at least one AI specialism (graph recommendation, deep learning, natural language processing)
Requirements:
* Backend stack: Python, FastAPI, MongoDB, PostgreSQL, message queue, JWT-based authentication
* AI Stack: Python, LangChain (or PydanticAI), Azure / AWS / Google model AI endpoints
* DevOps: Azure, Docker, CI/CD, GitHub Actions, Terraform
* Testing: pytest, DeepEval
* English C1