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About the role
We are hiring an AI Engineer to design and ship AI applications for large enterprises. Moring helps regulated organizations, financial services and other compliance-heavy industries, move from AI experiments to AI that runs in production. You will build the agents, integrations, and applications that put that AI to work.
This is a hands-on building role. You will take enterprise problems from idea to a working, reliable product, designing solutions on top of modern LLMs, integrating with the systems our customers already run, and getting them live. Because our customers operate in regulated environments, you will build with reliability, security, and accountability in mind from the start. We move fast and we ship into real customer environments, not slide-ware.
What will you do
What we're looking for
You don't need to check every box. We care most about strong engineering fundamentals paired with real experience building with AI.
Nice to have
Who thrives here
The ideal candidate is a builder who is energised by real enterprise problems and wants genuine ownership. You are curious, self-directed, and comfortable working across the stack and directly with customers. Moring runs lean and profitable, so you'll have outsized scope and the freedom to build on your own terms, with your work live at serious enterprises from day one.
Details
To apply, send your resume and a short note on an AI application or agent you have built to [Confidential Information].
Job ID: 150851141
Skills:
Tensorflow, Pytorch, Docker, Keras, Kubernetes, Python
Skills:
Pyspark, Kafka, Sql, Deep Learning, Tensorflow, Numpy, Pandas, Pytorch, MLops, Docker, Python, Computer Vision, Airflow, Generative AI, Scikit-learn, MLflow
Skills:
Machine Learning, Microservices, Nlp, Pytorch, Docker, Python, AWS, Apis, Sql, Deep Learning, Gcp, MLops, Azure, Kubernetes, embeddings, vector databases, LangGraph, RAG prompt engineering, evaluation frameworks, LLM architectures, LangChain, Monitoring, AI agents, LlamaIndex, model serving
Skills:
Microsoft Azure, Git-based workflows
Skills:
Artificial Intelligence, FastAPI, Python, LangChain, Full-stack AI Integration Frontend to Backend, Gradio, Agentic Retrieval Augmented Generation, Advanced Prompt Engineering, Vector Databases, Cloud Platforms, Multi-Cloud AI Infrastructure, LLM Observability Evaluation Monitoring LLMOps, OpenAI Open-Source Models, Streamlit, LLM Monitoring Tools
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